Artificial Intelligence (AI) is rapidly transforming every industry, from healthcare and finance to creative arts and daily operations. It’s no longer a futuristic concept but a powerful tool that drives innovation, enhances efficiency, and opens up new possibilities. From intelligent automation to advanced data analysis and the creation of sophisticated AI agents, the impact of AI is profound and ever-growing.

As AI continues to integrate into our lives and work, the demand for skilled professionals who can understand, apply, and even build AI systems is skyrocketing. However, with numerous courses flooding the market, ranging from introductory overviews to highly specialized bootcamps, choosing the right learning path can be a daunting task.

To help you navigate this evolving landscape, we’ve handpicked five of the best AI courses available in 2025. These courses were selected for their comprehensive content, practical applicability, reputable instructors, and overall effectiveness in equipping learners for the future of AI.

1. AI for Everyone

This course is a well-respected, non-technical course that aims to demystify Artificial Intelligence for a wide range of audiences, including business professionals, managers and anybody interested in understanding its impact. This course, led by AI expert Andrew Ng, covers common AI knowledge (machine learning, deep learning, data science), clarifies what AI can and cannot achieve and demonstrates how to identify possibilities to apply AI in an organization. It also discusses how to build AI projects, collaborate with AI teams, create an AI strategy and navigate AI's ethical and social consequences.

Advantages of Doing This Course:

• Provides a clear, accessible overview of AI concepts without requiring any programming or technical background.
• Helps non-technical individuals understand the business implications and strategic applications of AI.
• Covers ethical considerations and societal discussions surrounding AI.
• Taught by Andrew Ng, a highly respected figure in AI education.
• Excellent starting point for anyone looking to communicate effectively about AI with technical teams.

Best For:

• Business leaders, managers and strategists
• Non-technical professionals looking to understand AI's impact
• Anyone seeking a foundational, high-level understanding of AI
• Individuals interested in the ethical implications of AI

Platform: Coursera (DeepLearning.AI)

Instructor: Andrew Ng

Course Rating: 4.8 out of 5.0

Duration: 6hr

Certification: Certificate of completion

2. Introduction to Artificial Intelligence (AI)

This beginner-level course provides a thorough introduction to Artificial Intelligence. It addresses core AI ideas such as machine learning, deep learning, neural networks and generative AI. Learners will explore diverse AI applications, learn relevant terminologies and delve into the ethical implications of AI. The course contains practical laboratories where you can experiment with AI tools, as well as a project in which you use generative AI to modify organizational processes. It was designed to be accessible to everyone, even those with prior technical experience.

Advantages of Doing This Course:

• Covers a wide range of core AI concepts, including modern topics like Generative AI and Large Language Models.
• Includes hands-on labs for practical experience with AI tools.
• Suitable for beginners with no prior programming or computer science expertise.
• Offers a certificate of completion valuable for resumes and LinkedIn.
• Explores the evolution of AI and its real-world applications across various industries.

Best For:

• Students and professionals new to AI.
• Individuals seeking a structured introduction to AI fundamentals.
• Anyone looking to understand AI's applications and ethical considerations.
• Learners wanting a general overview before specializing.

Platform: Coursera (IBM)

Instructor: Rav Ahuja

Course Rating: 4.7 out of 5.0

Duration: 11hr

Certification: Certificate of completion

3. Generative AI: Prompt Engineering for Everyone

This course is designed for professionals, executives, students and AI enthusiasts who want to effectively use GenAI products such as ChatGPT. You will discover practical tactics, organized approaches and best practices for creating effective prompts, such as zero-shot, few-shot, Interview Pattern, Chain-of-Thought (CoT) and Tree-of-Thought (ToT). The course also covers advanced strategies like as multimodal prompting, the playoff method and picture generating techniques, which are supported by practical experiments and actual-life scenarios.

Advantages of Doing This Course:

• Focuses on the highly in-demand skill of prompt engineering for Generative AI.
• Provides practical techniques and structured approaches for crafting effective prompts.
• Covers advanced prompting methods, including multimodal and image generation.
• Includes hands-on labs to apply learned concepts with real-world examples.
• Suitable for a broad audience, from technical users to business professionals.

Best For:

• Professionals and students working with Generative AI models (e.g., ChatGPT, Claude).
• Content creators, marketers, and researchers using AI for text/image generation.
• Anyone looking to maximize the output and reliability of LLMs.
• Individuals interested in specialized AI applications.

Platform: Coursera (IBM)

Instructor: Antonio Cangiano

Course Rating: 4.8 out of 5.0

Duration: 9hr

Certification: Certificate of completion

4. Artificial Intelligence A-Z™: Learn How To Build An AI

This practical course will show you how to create several types of AI without being slowed down in complicated arithmetic. This course makes use of Python and teaches core AI ideas through interesting projects like building a self-driving car AI and a game-winning AI. The curriculum focuses on reinforcement learning, Q-Learning, Deep Q-Learning, Deep Convolutional Q-Learning and A3C. It is designed for novices with basic high school math and Python programming skills who want to gain practical experience constructing AI models.

Advantages of Doing This Course:

• Strong focus on practical, project-based learning to build tangible AI applications.
• Covers core AI algorithms like reinforcement learning and deep Q-learning.
• Suitable for learners who prefer a hands-on approach over purely theoretical discussions.
• Uses Python, a widely used language in AI, for implementation.
• Helps in understanding how AI can solve real-world problems and beat games.

Best For:

• Beginners with some Python knowledge looking for hands-on AI projects
• Learners interested in game AI and autonomous systems
• Individuals who prefer a "learn by doing" approach
• Aspiring AI developers and hobbyists

Platform: Udemy

Instructor: Hadelin de Ponteves & Kirill Eremenko

Course Rating: 4.4 out of 5.0

Duration: 15hr 15min

Certification: Certificate of Completion

5. The AI Engineer Course: Complete AI Engineer Bootcamp

This course is designed to provide a thorough path to becoming an AI Engineer. It usually covers a wide range of important AI skills, starting with the principles of machine learning and deep learning and moving to natural language processing, large language models (LLMs) and frameworks like LangChain. Learners have practical experience developing AI apps, interfacing with the OpenAI API, using vector databases and deploying AI models. The program frequently involves developing AI agents, comprehending agent architecture and even deploying AI systems in cloud environments, making it suitable for people looking to work in AI development.

Advantages of Doing This Course:

• Offers a full-stack approach to AI engineering, covering development to deployment.
• Includes in-demand topics like LLMs, LangChain, and vector databases.
• Prepares learners for practical roles in AI development.
• Emphasizes hands-on coding and project building.
• Aimed at career changers or those looking to specialize as an AI Engineer.

Best For:

• Individuals aspiring to become AI Engineers or developers.
• Programmers and data scientists looking to transition into AI roles.
• Learners who want a deep dive into building and deploying AI solutions.
• Those seeking a structured bootcamp experience for career advancement.

Platform: Udemy

Instructor: Chris Haroun, Luka Anicin

Course Rating:  4.5 out of 5.0

Duration: 12hr 2min

Certification: Certificate of Completion

Frequently Asked Questions (FAQs)

1. What is AI and why is it important in 2025?

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, learn, and solve problems. In 2025, AI is crucial for driving innovation, automating complex tasks, enhancing decision-making, and creating intelligent systems across various sectors like healthcare, finance, manufacturing, and customer service. It's a cornerstone for future technological advancements and economic growth.

2. Who should take these AI courses?

These courses cater to a wide range of individuals:

• Beginners: Those with no prior AI or technical experience looking for a foundational understanding.
• Business Professionals: Managers, strategists, and leaders who want to understand AI's impact and integrate it into their operations.
• Aspiring Developers/Engineers: Individuals keen on building AI applications, models, or pursuing a career in AI engineering.
• Data Scientists/Analysts: Professionals looking to enhance their skills with AI-specific techniques and tools.

3. Do I need coding experience to take these AI courses?

It depends on the course.

• "AI for Everyone" and "Introduction to Artificial Intelligence (AI)" (Coursera courses) generally require no coding experience, making them accessible to non-technical learners.
• "Artificial Intelligence A-Z™" and "The AI Engineer Course" (Udemy courses) will require basic to intermediate Python programming skills, as they involve hands-on coding and project building. Check the prerequisites for each specific course.

4. What can I build after taking an AI course?

Depending on the course's focus, you could learn to build:

• Intelligent chatbots and virtual assistants.
• Automated decision-making systems.
• Image recognition and natural language processing applications.
• Generative AI models for text, image, or code generation.
• AI agents for specific tasks (e.g., customer service, data analysis).
• Even components of self-driving cars or game AI.

5. What tools and technologies are used in these courses?

Courses often cover a variety of tools and technologies, including:

• Programming Languages: Python (most common).
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn.
• Generative AI Models: OpenAI (GPT models), Claude, Gemini.
• Orchestration Frameworks: LangChain, Hugging Face.
• Data Storage: Vector databases.
• APIs and Webhooks: For integrating with various services.

6. Can I get certified after completing these courses?

Yes. Most courses on platforms like Coursera and Udemy offer a certificate of completion upon successful completion. These certificates can be valuable additions to your resume or LinkedIn profile, demonstrating your commitment to learning and your acquired skills.

7. How do I choose the best AI course for me?

Consider the following:

• Your current skill level: Are you a complete beginner or do you have some programming/math background?
• Your learning goals: Do you want a general overview, or do you aim to build specific AI applications or pursue a career in AI?
• Time commitment: How much time can you realistically dedicate to the course?
• Learning style: Do you prefer theoretical lectures, hands-on projects, or quick highlights?
• Budget: Are you looking for free resources or are you willing to invest in a paid course with certification?

Conclusion

Artificial intelligence is already a key component of innovation rather than just a technology of the future. The need for qualified experts who understand, use and develop with AI is increasing rapidly. You may put yourself at the vanguard of this technological revolution by mastering the principles and real-world applications of AI with the help of the courses in this guide.

Hey! We hope you have found this guide to AI courses helpful and intriguing. Since you've made it this far, then certainly you are willing to learn more and here at Coursesity, it is our duty to enlighten people with knowledge on topics they are willing to learn.

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Large Language Models (LLMs) are at the heart of the AI industry in 2025, controlling everything from commercial knowledge systems, coding copilots, content creation tools, to intelligent chatbots and virtual assistants. Different tools like LLaMA3 (Meta), Claude (Anthropic), Gemini (Google) and ChatGPT (OpenAI) are not just future technology, they are already included in everyday products.

Learning how LLMs operate and most importantly, how to build with them is becoming essential to everyone working in the field, whether they are a developer, business analyst or even a non-technical professional. The growth of Generative AI, LangChain, agent workflows, retrieval-augmented generation (RAG) and vector databases led to growth in new jobs, technologies and business models.

Our team has researched and selected the seven finest LLM courses for 2025, each chosen for its level of instruction, practical approach, relevancy to the latest tools and flexibility for different types of learners.

1. LLM Engineering: Master AI and Large Language Models

This project-based course teaches you how to create LLM applications with OpenAI's GPT APIs, LangChain and vector databases. You will learn about prompt engineering, retrieval-augmented generation and app deployment while working on chatbots, document Q&A tools and other projects. It is designed for individuals interested in moving beyond simple prompts and developing full-stack AI tools like Generative AI, RAG, LoRA and AI Agents that can be deployed in production environments. The practical approach is perfect for developers and product makers.

Advantages of Doing This Course:

• Build 8 real-world AI projects that demonstrate production-ready skills.
• Gain hands-on experience with LangChain and OpenAI APIs which is highly sought in tech roles.
• Perfect for developers aiming to become full-stack AI builders or transition into AI roles.

Best For:

• Software developers
• AI Engineers
• Product engineers
• Startup builders.

Platform: Udemy

Instructor: Ed Donner

Course rating: 4.7 out of 5.0

Duration: 25hr 16min

Certification: Certification of completion

2. Introduction to Large Language Models for Data Practitioners

This course provides a critical and practical introduction to Large Language Models (LLMs) for data practitioners. It traces the 70-year evolution of LLMs, from early neural networks to the modern transformer-based architectures that power applications like ChatGPT. You will learn the internal workings of transformer models, including key concepts like parameters, encoding, decoding, attention and fine-tuning. The course also explores the practical application of LLMs, where they fit in a data practitioner's toolkit and how to use them to solve real-world problems.

Advantages of Doing This Course:

• Gain a deep understanding of how LLMs work and their revolutionary impact on natural language processing.
• Learn how to conceptualize and determine where LLMs can be implemented in your work.
• Build confidence in understanding the power and limitations of LLMs.
• Engage in discussions about ethical considerations and potential biases in LLMs.

Best For:

• Data practitioners at the forefront of AI.
• Professionals who want to understand and leverage LLMs to solve business problems.
• Individuals seeking to enhance their existing data toolkit with cutting-edge AI technologies.

Platform: Pluralsight

Instructor: Russ Thomas

Course Rating: 4.5 out of 5

Duration: 39 min

Certification: A certificate is available upon completion of the course.

3. AI Automation: Build LLM Apps & AI Agents with n8n & APIs

This course teaches you how to automate your process with n8n, considered a powerful no-code solution. You will learn how to visually connect LLMs like ChatGPT to external APIs, webhooks and databases to create automated workflows without a single need to write code. This course is ideal for entrepreneurs, marketers and small teams who wants to utilize AI to boost productivity, generate leads or automate customer service. The visual interface makes automation accessible, even to total beginners.

Advantages of Doing This Course:

• Automate business tasks like customer support, lead generation, and content creation without writing code.
• Learn AI integration without programming, making it ideal for non-tech professionals.
• Develop AI agents and workflows you can use in real business contexts immediately.

Best For:

• Marketers, solopreneurs and non-technical users who want to build smart automations without coding.
• Anyone who is interested in AI and automation and wants to build their own agent.
• Developers and data scientists who want to stay on top of GenAI, automation and AI agents.

Platform: Udemy

Instructor: Arnold Oberleiter

Course rating: 4.7 out of 5.0

Duration: 13hr 29min

Certification: Certification of completion

4. LLM Mastery: ChatGPT, Gemini, Claude, LLaMA3 & OpenAI APIs

This course compares the leading LLM platforms, including ChatGPT, Gemini, Claude and LLaMA3. You will learn how their APIs differ, which use cases each model best provides and how to integrate them into a basic app. Rather than focusing on a single model, this course will help you determine which LLM is best for your purposes, making it great for professionals, academics and developers trying to make proper structural decisions.

Advantages of Doing This Course:

• Make strategic decisions by comparing LLM platforms for performance, pricing, and usability.
• Learn multi-LLM integration, useful for enterprise AI planning or academic evaluation.
• Great if you're planning to build tools on top of the best-suited model rather than being locked to one provider.

Best For:

• AI professionals and developers choosing between different LLM APIs.

Platform: Udemy

Instructor: Arnold Oberleiter

Course rating: 4.7 out of 5.0

Duration: 19hr 54min

Certification: Certification of completion

5. Prompt Engineering for ChatGPT

If you are serious about learning prompt engineering, this course is one of the most disciplined and professional programs available. Vanderbilt University created it, which focuses into chaining, few-shot learning, reasoning patterns, and other topics with examples related to educators, support teams and content developers. You will acquire a solid theoretical foundation while also practising prompt design with tests and projects. It is suitable for professionals who need precise, high-quality results from LLMs.

Advantages of Doing This Course:

• Gain expert-level prompt design skills for use in education, customer support, and content generation.
• Improve the output accuracy of any LLM through better prompting strategies.
• Ideal for professionals who need high-precision responses from AI tools.

Best For:

• Anyone focused on becoming a prompt design expert, especially writers, educators or analysts.

Platform: Coursera

Instructor: Prof. Jules White

Course rating: 4.8 out of 5.0

Duration: 18hr

Certification: Certification of completion

6. Prompting for Effective LLM Reasoning and Planning

This course is a Nanodegree program that goes beyond basic prompting to teach you how to engineer sophisticated, coordinated teams of AI agents. You will learn advanced prompting techniques like Chain-of-Thought and ReAct to design agentic workflows with patterns like Routing and Parallelization. The course focuses on building and orchestrating agents in Python that can reason, plan, and use tools to interact with databases and external APIs. Through hands-on projects, including a multi-agent travel planner, an AI-powered project manager, and a fully automated sales system, you will gain practical experience in solving real-world problems.

Advantages of Doing This Course

• Go beyond single chatbots to engineer sophisticated, coordinated teams of AI agents.
• Master advanced prompting techniques to design agentic workflows.
• Learn to build and orchestrate agents in Python that can reason, plan, and use tools.
• Tackle hands-on projects to build a powerful portfolio.
• Transform generic AI into specialized, reliable tools.

Best for:

• AI Developers, Software Engineers and Data Scientists aiming to create advanced AI applications.
• Individuals with a solid background in Python programming.
• Professionals and enthusiasts interested in specialized AI topics such as multi-agent systems, Retrieval-Augmented Generation (RAG) and advanced prompt engineering.

Platform: Udacity

Duration: 13 hours

Certification: Upon completion of the Nanodegree program, you will receive a certificate from Udacity.

7. Generative AI & LLM App Development Bootcamp

This course covers the whole generative AI environment including chatbots, LangChain, Pinecone, agents, multimodal AI and many more. This course provides mini-projects and practical labs to help you experiment with different technologies and create functional apps. This course is ideal if you prefer breadth over detail, covering everything from prompt design to RAG pipelines and agent operations.

Advantages of Doing This Course:

• Learn a wide range of tools used in modern GenAI development.
• Build a diverse portfolio of LLM-powered apps, perfect for job applications or freelancing.
• Excellent for learners who want breadth over depth and love experimenting.

Best For:

• Developers and makers who want to explore multiple generative AI tools and build a diverse portfolio.

Platform: Udemy

Instructor: Julio Colomer

Course rating: 4.4 out of 5.0

Duration: 80hr 11min

Certification: Certification of completion

Frequently Asked Questions (FAQs)

1. What is an LLM (Large Language Model)?

An LLM is a type of AI model trained on vast amounts of text data to understand and generate human-like language. Examples include OpenAI’s GPT, Google’s Gemini, Meta’s LLaMA and Anthropic’s Claude. These models are used in chatbots, coding assistants, content generation tools and more.

2. Who should take these LLM courses?

These courses are suitable for a variety of users like:

• Software developers and data scientists.
• AI engineers and researchers.
• Product managers and startup founders.
• Educators, marketers and non-technical professionals looking to automate tasks or understand AI.

3. Do I need coding experience to start learning LLMs?

Not necessarily. Courses like "AI Automation with n8n" and "Introduction to LLMs (by DeepLearning.AI)" require no coding experience and are beginner-friendly. However, some advanced courses like "Full Stack Deep Learning" and "LLM Engineering" required some prior Python knowledge and some background in AI/ML.

4. What tools or platforms do these courses cover?

Depending on different courses, you will get practical experience with different topics like:

• OpenAI GPT APIs
• LangChain
• n8n
• Pinecone vector databases
• Claude, Gemini, and LLaMA APIs
• RAG pipelines and agents

5. Are these courses up to date with the latest LLM tools and models?

Yes. All selected courses are updated for 2025 and cover current tools like GPT-4, Gemini, LLaMA3, Claude, and new ecosystem technologies like LangChain, RAG, agents, and vector databases.

6. Can I get certified after completing these courses?

Yes, all courses listed provide a certificate of completion. While these aren’t university degrees, they are recognized in the industry and can be showcased on your resume or LinkedIn profile.

7. Are there free courses on LLMs?

Yes! "Introduction to Large Language Models" by DeepLearning.AI (via Class Central) is completely free and highly recommended for beginners.

8. Which course is best if I want to build a chatbot or AI assistant?

If you're focused on building functional AI agents or chatbots, "LLM Engineering" and "Generative AI & LLM Bootcamp" are excellent choices. They offer hands-on projects using OpenAI, LangChain and automation workflows which helps you in building a fully functional chatbots.

9. Can I use these courses to start a career in AI or LLM development?

Yes. These courses provide real-world projects and skills that are directly applicable in the industry. However, for deep research or highly technical roles, additional learning (e.g., ML theory or system design) may be necessary.

10. What is the difference between LangChain, RAG, and vector databases in these courses?

These are key technologies often used together in modern LLM apps:

• LangChain is a framework that helps developers connect LLMs with tools like memory, databases, and APIs to build intelligent applications.
• RAG (Retrieval-Augmented Generation) combines search systems with LLMs to retrieve relevant data and generate accurate answers.
• Vector Databases (like Pinecone or FAISS) store and search embeddings (numerical representations of text), enabling efficient similarity-based search in LLM apps.

Large Language Models (LLMs) are now an essential component of  AI development. The way we work and create is being radically altered by LLMs, which underpin everything from complex corporate automation to intelligent assistants. The courses in this guide provide as your important road map for progressing beyond basic usage and acquiring the skills needed to create, modify and implement potent LLM applications, setting you up for a highly popular profession in the AI industry of the future.

Hey! We hope you have found this guide to LLM courses helpful and intriguing. Since you've made it this far, then certainly you are willing to learn more and here at Coursesity, we have to enlighten people with knowledge on topics they are willing to learn.

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N8n has become one of the most popular tools in automation and AI agent creation. This open-source, no-code platform allows you to graphically integrate APIs, services, LLMs and databases into smart, autonomous workflows without writing a single line of code.

Here are the top five n8n courses that we chose with various preferences and needs in mind, in order to be beneficial to everyone in this growing sector. Each course was chosen because it was practical, clear and appropriate for business implementation, AI agent development and no-code automation.

1. n8n – AI Agents, Voice Assistants & AI Automations

This is the most perfect n8n course available in 2025, teaching you how to create powerful AI automations, intelligent speech agents and multi-agent systems without writing a single line of code. Here, you will use OpenAI, Claude, Gemini, LangChain, ElevenLabs and Retell AI to automate processes such as customer service and lead generation. This course includes over 90 ready to use templates and even helps you start your own automation agency.

Advantages of Doing This Course:

• Get hands-on with real tools like OpenAI, Claude, LangChain, Retell AI, and ElevenLabs, all used in today’s AI automation businesses.
• Ideal for launching your own AI agent service or automation agency with 90+ ready-to-use templates.
• Learn how to monetize workflows, host services, and build scalable agent systems.
• Perfect for startup founders and solopreneurs looking to save time, reduce cost, and build modern AI solutions without code.
• Go beyond theory, build practical voice agents, automate lead gen, and streamline customer service.

Best For:

• AI enthusiasts & solopreneurs building real-world agents
• Startup builders, digital marketers, automation freelancers
• Business owners looking to reduce cost with AI-driven operations

Platform: Udemy
Instructor: Damain Danelczyk and Krystian Wojtarowicz
Course Rating: 4.6 out of 5.0
Duration: 41hr 55min
Certification: Certification of completion

2. Intro to n8n AI Agents – Automate Work Effortlessly

This beginner-friendly course covers n8n's visual workflow builder and basic AI agent ideas. You will learn how to connect LLM APIs, utilize API triggers, automate simple prompts and visually organize your first AI workflows.  It also helps you gain experience with no-code logic, explore use cases such as auto-reply systems or smart data routing and create the framework for more advanced automations in the future. By the end, you will have created several functional AI-powered flows without writing a single line of code.

Advantages of Doing This Course:

• Perfect starting point if you’re overwhelmed by AI or automation but want to dive in.
• Helps non-technical users understand prompt chaining, API logic, and AI-powered workflows visually.
• Learn how to quickly build basic agents like email responders and auto-replies.
• Build confidence to explore advanced automation later without needing a programming background.
• Great for marketers and business users looking for fast, lightweight automation wins.

Best For:

• Beginners and students just starting with AI workflows
• Non-technical users exploring AI automation tools
• Marketers who want to automate simple tasks without code

Platform: Udemy
Instructor: Yash Thakker
Course Rating: 4.4 out of 5.0
Duration: 56min
Certification: Certification of completion

3. n8n AI Automation System Builder - Free Course

This course teaches you how to create modular agents, design workflows for business logic and bundle automations into packages that can be sold as services. Here, y ou will develop use cases such as AI-powered receptionists, email responders, lead qualifiers and  delve further into practical client scenarios. You will also learn how to scale workflows, manage edge situations and offer automation solutions with experts, preparing you to launch your own AI automation firm or add high-value services to your company.

Advantages of Doing This Course:

• Teaches you how to turn your automation skills into a service business or product.
• Covers advanced, modular system thinking, great for scalable client projects or team workflows.
• Helps you think like a consultant or agency owner by exploring real-world business use cases.
• Prepares you to pitch, bundle, and deploy automations with clarity and confidence.
• Amazing free resource if you’re serious about building an automation business with no-code.

Best For:

• Freelancers and consultants offering AI automations
• Startup founders building client-ready tools
• n8n users looking to productize their knowledge

Platform: YouTube
Instructor: Nate Herk
Duration: 8hr 26min
Certification: No

4. Build & Sell n8n AI Agents

This complete course is available totally for free on YouTube, guides you through the process of designing and deploying sellable AI agents using n8n. It covers tutorials on agent logic, LLM orchestration, prompt chaining and even pitching your automation services to customers. Here, you will not only get hands-on experience with practical AI applications, but you will also learn how to think like an automation entrepreneur. This course provides you with a template for start selling AI workflows or freelance automation solutions from your laptop, from technical implementation to business strategy.

Advantages of Doing This Course:

• One of the best free ways to learn how to build and sell AI agent solutions online.
• Teaches prompt logic, LLM orchestration, and freelance-style automation services.
• Business-first approach: includes how to pitch your workflows and think like an entrepreneur.
• Great for creators testing ideas or solopreneurs working from home.
• Learn how to build client-facing workflows with no financial investment.

Best For:

• Budget-conscious learners
• Visual, self-paced learners
• Solopreneurs testing an AI service idea

Platform: YouTube
Instructor: Nick Saraev
Duration: 5hr 58min
Certification: No

5. n8n No-Code AI Agent Builder

This course is designed for early professionals and learners looking to enhance their skills. It explains how to build n8n automations using AI agents, external APIs and conditional flows. It is ideal for adding to your LinkedIn or resume, as it has a clear format and is free. This course explains how to use n8n's visual interface, set up triggers, call LLMs and create logic-based agent flows.

Advantages of Doing This Course:

• Quick, structured, and certification-ready ideal for resumes or LinkedIn portfolios.
• Teaches key automation principles like API triggers, conditional flows, and logic building.
• Free access with a clean, professional design for time-strapped learners.
• Best suited for beginners and professionals looking to add no-code AI to their toolbox.
• A great stepping stone to higher-level automation or agency-building courses later.

Best For:

• Beginners wanting structured, certified learning.
• Business users exploring AI automation tools.
• Professionals building a no-code portfolio.

Platform: Simplilearn
Course Rating: 4.6 out of 5.0
Duration: 3hr
Certification: Certification of completion

Frequently Asked Questions (FAQs)

1. What is n8n and why is it important in 2025?

n8n is an open-source, no-code platform for visually building automation workflows and integrating APIs, AI models (like ChatGPT) and services. In 2025, it's key for creating AI agents, automating business tasks and launching agent-based products without code.

2. Who should take these n8n courses?

These courses are for solopreneurs, startup founders, marketers, business teams, developers, freelancers, and non-technical learners keen on AI or no-code automation.

3. Do I need coding experience to take these n8n courses?

No coding experience is required for most courses. n8n's drag-and-drop interface is beginner-friendly. Some advanced topics might touch on APIs, but everything is visually implementable.

4. What can I build after taking an n8n course?

You can build AI-powered chat/voice agents, automated lead gen tools, email responders, RAG pipelines, LLM-powered search tools and even end-to-end automation agencies.

5. What tools and technologies are used in these courses?

Courses cover OpenAI (ChatGPT), Claude, Gemini, LangChain, RAG pipelines, Retell AI, ElevenLabs, APIs, webhooks, Airtable, databases and strategies for hosting/monetizing automation businesses.

6. Can I get certified after completing these courses?

Yes, some courses on Udemy and Simplilearn offer certificates. YouTube courses typically don't.

7. Is n8n better than Zapier or Make for AI automations?

In 2025, n8n stands out for its open-source flexibility, deeper logic handling and native support for LLMs, APIs and multi-agent logic, compared to Zapier and Make.

8. Will learning n8n help my career?

Absolutely! Mastering n8n can help you automate your work, offer freelance/agency services, integrate AI agents into products and become a no-code automation expert in the booming AI market.

Conclusion

Building strong, intelligent processes does not require you to be a coder, since N8n has become a key component for AI automation and agent development in 2025. From marketers to entrepreneurs, this open-source, no-code platform helps a wide spectrum of professions to link services and LLMs, resulting in self-sufficient systems that promote creativity and efficiency. The courses that are highlighted in this guide offer a clear way for you to start using this game-changing technology and creating the automation of the future right now.

Hey! We hope you have found this guide to n8n courses helpful and intriguing. Since you've made it this far, then certainly you are willing to learn more and here at Coursesity, we are here to enlighten people with knowledge on topics they are willing to learn.

Here are some more topics that we think will be interesting for you!

• 35+ Top Bootstrap Interview Questions & Answers
• Machine Learning vs Artificial Intelligence

Understanding the Model Context Protocol (MCP) is important if you want to actively design the future of intelligent, autonomous systems rather than just experience it. AI is currently developing into dynamic, interactive structures that can really interact with the world, use tools and make decisions. Technologies like MCP, which act as the fundamental language for these intelligent things to interact and function as a unit, are primarily responsible for this significant change.

Building advanced AI agents that can automate difficult activities, provide intelligent support or even manage entire organizations without continuous human supervision is becoming a valuable skill as the field of AI develops. MCP greatly reduces the obstacles of creating genuinely autonomous and robust AI systems by standardizing the information sharing and interaction between Large Language Models (LLMs) and external functions.

However, entering this advanced field might be intimidating, with new resources and shifting best practices. This article will be your ultimate guide to the top Model Context Protocol (MCP) courses available in 2025. We will look at what each course offers, how it can directly improve your job or projects and helps you choose the best fit for your learning style and professional goals.

Top MCP course for Beginners

1. MCP Bootcamp: Build AI Agents with Model Context Protocol

This course offers a thorough practical learning experience focused on developing AI agents with the Model Context Protocol. You will create MCP servers and clients, integrate numerous tools and even deploy your AI agent apps. The course focuses on practical projects, ensuring that you not only understand the basic theory but also have the confidence to apply MCP in actual situations. It discusses the fundamental components of MCP, their relationships and how to properly manage context in agentic workflows.

Why This Course Stands Out:

• Designed to provide a rapid, yet thorough, understanding and practical application of MCP.
• Focuses heavily on building real AI agents and applications, moving beyond just theory.
• Clearly breaks down servers, clients, tools, resources and deployment within the MCP framework.
• Guides you through important aspects like deploying and publishing MCP components for functional systems.
  

Best For:

• Developers and engineers who want to build advanced AI agents.
• Individuals seeking practical, hands-on experience with MCP implementation.
• Those looking to standardize tool interaction for their LLMs.
• Learners who prefer a concise, bootcamp-style learning approach.

Platform: Udemy

Instructor: Eden Marco

Rating: 4.6 out of 5.0

Duration: 6hr 53min

Certification: Certificate of completion

2. The MCP Course You Need

This YouTube course focuses into the specifics of the Model Context Protocol (MCP) and its practical implementation through mcp.run. It highlights how MCP allows Large Language Models (LLMs) to extend their static knowledge and interact with real-world services, perform actions like web searches and even control cloud-native systems. This course emphasizes on structured communication using JSON, automation skills and the security benefits of Web Assembly for running tools. It also touches upon centralized tool management and multi-model LLM support within the mcp.run ecosystem.

Why This Course Stands Out:

• Provides specific insights into a prominent implementation of the MCP, including its unique features.
• Explicitly discusses the advantages of MCP in enhancing LLM capabilities and enabling automation.
• Highlights the use of Web Assembly for sandboxing and fine-grained access control, a crucial topic.
• Shows how mcp . run supports various LLMs, including multi-modal ones like Gemini.

Best For:

• Developers interested in the practical implementation of MCP.
• Learners seeking detailed explanations of mcp.run features.
• Those concerned with security and deployment aspects of AI agents.
• Individuals who prefer video-based learning for technical topics.

Platform: YouTube

Duration: 1hr 59min

Level: Intermediate to advanced professional

3. Full Course (Lessons 1-11) MCP for Beginners

This course offers a solid foundation in the Model Context Protocol (MCP) for beginners. It guides you through the process of creating and testing your own MCP servers and connecting clients, both with and without Large Language Models (LLMs). You will study fundamental features including content streaming, cloud deployment of MCP projects and working with official SDKs in C#, Java, TypeScript, JavaScript and Python. The course goes deeper into the core components of any MCP server tools, prompts and resources, and highlights MCP's integration within the Microsoft ecosystem, demonstrating how it works with Azure, Azure DevOps and GitHub Copilot for enterprise-grade AI solutions.

Why This Course Stands Out:

• Explicitly designed for beginners, making complex MCP concepts accessible.
• Provides practical examples and SDKs across several popular programming languages (C#, Java, TypeScript, JavaScript, Python).
• Demonstrates how MCP fits into real-world enterprise environments with Microsoft services.
• Addresses critical AI security challenges like prompt injection and offers defense mechanisms.
• Includes practical projects like building a calculator agent, weather server and GitHub clone server.
  

Best For:

• Beginners in AI and developers new to Model Context Protocol.
• Developers working with Microsoft technologies and Azure.
• Learners who prefer a structured, official introduction to a new protocol.
• Anyone interested in understanding the security implications of AI agent development.

Platform: YouTube

Duration: 50 min

Level: Beginner

4. Hands-On AI: Building AI Agents with Model Context Protocol (MCP) and Agent2Agent (A2A)

This course introduces you to the Model Context Protocol (MCP) and Agent2Agent (A2A) communication frameworks essential for designing context-aware, collaborative AI agents. You'll explore MCP architectures and implementations and learn how to build AI applications and agents that leverage rich contextual understanding. Instructor Kumaran Ponnambalam also dives into A2A's structure and workflow, helping you gain hands-on experience with multi-agent ecosystems for real-world scenarios.

Why This Course Stands Out:

• Dual Framework Focus: Uniquely covers both Model Context Protocol (MCP) and Agent2Agent (A2A) communication.
• Emphasis on Collaboration: Teaches you to build interconnected, collaborative AI agents.
• Hands-on Experience: The course provides practical knowledge for implementing and executing multi-agent systems.
• Focus on Context: Highlights the importance of rich contextual understanding for building truly intelligent agents.

Best For:

• Individuals interested in building collaborative and interconnected AI agents.
• Learners who want to understand multi-agent (A2A) communication frameworks.
• Professionals seeking hands-on experience with MCP frameworks.
• Anyone at a general skill level looking to design and implement intelligent AI agents.

Platform: LinkedIn Learning

Instructor: Kumaran Ponnambalam

Level: General Duration: 1h 40m

Certification: Certificate of Completion

5. AI Coding with Cursor: Revolutionize Your Coding Workflow with AI-Powered Tools

This course is designed to transform your coding workflow with AI-powered tools, with a particular emphasis on the Cursor AI code editor. You will learn how to master AI-assisted code editing and use AI as a powerful pair programmer to increase productivity. The program ranges from optimizing your workflow with Cursor's codebase expertise to implementing best practices for balancing AI support with human creativity. It focuses on constructing full-stack SaaS applications (web and mobile) with AI, covering topics such as debugging AI-generated code, efficient prompting for full-stack development, and leveraging Git for collaborative projects. Also, the course now contains content on the Model Context Protocol (MCP), which demonstrates how MCP can streamline AI agent creation inside your coding environment.

Why This Course Stands Out:

• Workflow Transformation: Focuses on integrating AI directly into the developer's daily coding workflow.
• Full-Stack Application: Covers both frontend and backend development with AI assistance.
• Practical Tool Focus: Teaches practical use of tools like Cursor, Claude, v0.dev and Vercel.
• Includes MCP in Context: Integrates MCP knowledge within the broader context of AI-assisted coding and agent building.
• Vibe Coding Approach: Promotes a modern coding paradigm where AI streamlines the development process.

Best For:

• Developers looking to integrate AI tools directly into their coding workflow.
• Full-stack developers aiming to leverage AI for faster development.
• Learners interested in building AI-assisted SaaS applications.
• Individuals curious about theVibe Coding paradigm and Cursor AI.

Platform: Udemy

Instructor: James Anthony Phoenix

Rating: 4.5 out of 5.0

Duration: 5hr

Level: All Skill Levels

Certification: Certificate of completion

Frequently Asked Questions (FAQs)

1. What exactly is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an evolving standard that defines a structured way for Large Language Models (LLMs) to communicate with external tools and services. It allows LLMs to use functionalities beyond their internal knowledge base, enabling them to perform real-world actions like searching the web, interacting with APIs or managing databases.

2. Why is learning MCP important for my career in 2025?

As AI moves towards more autonomous agents, MCP becomes a foundational skill. It allows you to build sophisticated AI systems that can independently perform complex tasks, automate workflows, and interact with diverse digital environments. Mastering MCP positions you at the forefront of AI agent development, a rapidly growing and high-demand field.

3. Do I need a strong programming background to take these courses?

For most of these courses, particularly those focusing on building agents or integrating tools, a good understanding of Python programming is highly recommended. For the "AI Coding with Cursor" course, while it claims to be for all levels, basic coding knowledge will significantly aid your learning.

4. What kind of AI agents can I build after learning MCP?

With MCP, you can build a wide variety of AI agents, including:

• Automated Research Agents: That can search the web, summarize findings, and compile reports.
• Intelligent Customer Service Bots: That can query databases, interact with CRM systems, and resolve customer issues.
• Workflow Automation Agents: That can connect different software services (e.g., send emails based on CRM updates).
• Data Analysis Agents: That can fetch data, perform analysis, and generate insights using external tools.
• Specialized AI Assistants: For tasks like financial analysis, content generation, or project management.

5. Are these courses suitable for non-developers or business professionals?

While the Model Context Protocol itself is quite technical, understanding its capabilities is crucial for non-developers too. Courses like "The MCP Course You Need" (Kubesimplify) offer good overviews. However, if your goal is primarily strategic understanding rather than hands-on building, you might want to complement these with more conceptual AI courses or focus on the overview sections provided.

6. What's the difference between LangChain/CrewAI and MCP?

LangChain and CrewAI are frameworks that help you orchestrate LLMs and tools to build agents. MCP is a protocol that defines how these tools and contexts are formally communicated and shared. You can use LangChain/CrewAI with MCP to create highly standardized and interoperable agents. MCP provides the "rules" for communication, while frameworks provide the "structure" for building.

7. Is MCP an open-source standard?

Yes, Model Context Protocol is designed to be an open standard, fostering community contributions and widespread adoption for interoperable AI agents. This open nature promotes innovation and allows for greater flexibility in building AI solutions.

8. What are the key tools and technologies covered in these courses?

You can expect to encounter:

• LLMs: OpenAI (GPT models), Claude, Gemini.
• Programming Languages: Python, TypeScript/JavaScript.
• Frameworks: LangGraph, LangChain, Gradio.
• AI Code Editors: Cursor.
• Deployment Platforms: Hugging Face Hub, Vercel.
• Concepts: JSON, JSON Schema, Web Assembly, API integration, sandboxing.

Conclusion

Understanding the Model Context Protocol is your key to moving from passive AI user to active AI creator. By standardizing how AI agents communicate and interact with the world, MCP empowers you to build the next generation of autonomous systems that can truly innovate. The skills you gain from these courses are not just for today, but for a future where intelligent agents are a fundamental part of our digital ecosystem.

Hey! We hope you have found this guide to MCP courses helpful and intriguing. Since you've made it this far, then certainly you are willing to learn more, and here at Coursesity, we are to enlighten people with knowledge on topics they are willing to learn.

Here are some more topics that we think will be interesting for you!

• 5 Best Apache Airflow Tutorials
• 9 Best Back-End Development Courses

The field of artificial intelligence (AI) is rapidly evolving, and within it, the role of a prompt engineer is becoming increasingly vital. This career is not just about technical expertise; it's about harnessing creativity and understanding human language to make AI models more effective. If you're passionate about AI and eager to bridge the gap between human intent and machine understanding, here's your guide to becoming a prompt engineer. But first, let's understand what Prompt Engineering is.

What is Prompt Engineering?

Prompt engineering involves designing, testing, and refining prompts to improve AI model performance, particularly in natural language processing (NLP) tasks. Think of it as crafting the perfect question to get the most accurate and useful response from an AI. This process ensures that AI models like GPT-3 provide outputs that are relevant, contextually appropriate, and valuable.

Now that we have talked about what is Prompt Engineering? Here's a comprehensive guide on How to Become a Prompt Engineer:

1. Understanding the Role

As a prompt engineer, you'll be at the forefront of AI-human interaction. Your work will involve:

• Crafting prompts that generate the desired AI outputs.
• Iterating on these prompts based on feedback and performance.
• Ensuring that the AI's responses are not only accurate but also contextually appropriate.

Imagine the satisfaction of seeing your prompt make an AI model produce a flawless piece of writing or solve a complex problem. It’s like teaching a student who never forgets and constantly learns from your guidance.

2. Essential Skills and Knowledge

Here are some essential skills and knowledge you should remember if you want to become a Prompt Engineer:

Strong Foundation in AI and NLP:

• Educational Background: A degree in computer science, data science, or a related field can be your starting point.
• Courses and Certifications: Online Prompt Engineering courses from platforms like Coursesity, Udemy, and Coursera offer valuable resources. It would be best if you considered courses in AI, Machine Learning, and NLP to build your foundational knowledge.

Programming Skills:

• Languages: Learning Python is essential. It's the language of AI and will be your primary tool.
• Libraries and Frameworks: Dive into TensorFlow, PyTorch, and NLP-specific libraries like spaCy, NLTK, and Hugging Face Transformers. These tools are the brushes with which you'll paint your AI masterpieces.

Understanding of AI Models:

• Transformer Models: Gain a deep understanding of AI models like GPT-3, Gemini (Bard), GPT3.5, GPT-4, BERT, and GPT-4o (the most recent ChatGPT model). Learn how these models process and generate language. It will help you in your prompt engineering role.
• API Interaction: Mastering APIs from providers like OpenAI will allow you to implement and test your prompts effectively.

Data Handling and Preprocessing:

• Data Management: Develop skills to handle, clean, and prepare large datasets. This step is crucial for training efficient AI models and ensuring your prompts are based on accurate data.

3. Steps to Becoming a Prompt Engineer

You must remember these key steps to become a Prompt Engineer:

Education and Skill Building:

• Formal Education: Degrees in computer science or data science are great foundations.
• Online Learning: Enroll in specialized courses on platforms like Coursera, edX, Udacity, and others. Recommended courses include: "Deep Learning Specialization" by Andrew Ng on Coursera, and "Natural Language Processing" by Deeplearning.ai on Coursera.

Hands-On Experience:

• Projects and Internships: Gain practical experience by working on real-world projects, internships, or contributing to open-source projects.
• Competitions: Participate in AI and data science competitions on platforms like Kaggle to test your skills and learn from the community.

Stay Updated:

• Latest Research: Follow AI research papers and publications to stay informed about new advancements. Websites like arXiv.org are excellent for accessing the latest research.
• Community Engagement: Join AI communities, attend conferences, and webinars, and participate in forums like Reddit’s r/MachineLearning and AI-related Discord servers.

Practical Application:

• Experimentation: Continuously test and refine your prompts. Use platforms like OpenAI’s Playground to experiment with different prompt structures.
• Feedback Loop: Utilize feedback from AI model outputs to improve your prompts. Collaborate with peers or mentors to gain new insights and refine your approach.

Building a Portfolio

• Showcase Your Work: Create a portfolio that highlights your projects, challenges you’ve solved, and the impact of your work. Use platforms like GitHub to host your projects.
• Write Case Studies: Document your approach, the problems you encountered, and how you addressed them. This not only showcases your problem-solving skills but also helps others learn from your experiences.

Career Opportunities

• Industries: Tech giants like Google, Microsoft, and OpenAI, as well as innovative startups, are seeking prompt engineers to enhance their AI capabilities.
• Freelancing: Platforms like Upwork and Freelancer offer opportunities for freelance prompt engineering projects. Networking on LinkedIn can also help you find opportunities.

Conclusion

Becoming a prompt engineer is not just a career; it's a journey of passion and innovation. It requires a blend of education, practical experience, and a commitment to staying updated with the latest developments in AI and NLP. By building a strong foundation and continuously honing your skills, you can excel in this emerging field and contribute to the advancement of AI technology.

When it comes to Node.js development, choosing the right framework can make or break your project. Two popular Node.js frameworks in this space are Express and NestJS. But which one should you choose? In this post, we'll compare Express vs NestJS to help you make an informed decision for your next backend project.

Express: The Flexible and Popular Node.js Framework

Express has been a staple in the Node.js ecosystem since 2010. It's known for its simplicity and flexibility, making it a go-to choice for many developers. Here's what makes Express stand out:

• Minimal configuration: Express provides a basic server setup with minimal boilerplate code.
• Flexibility in architecture: Developers have the freedom to structure their projects as they see fit.
• Large community support: With years of adoption, Express boasts a vast ecosystem of plugins and resources.

Express's flexibility is both a blessing and a curse. While it allows for creative solutions, it also means developers need to make more decisions about project structure and best practices.

NestJS: The Opinionated TypeScript-based Framework

NestJS, introduced in 2017, is often seen as the spiritual successor to Express. It offers a more structured approach to Node.js development. Key features of NestJS include:

• Native TypeScript support: Offering strong typing and modern JavaScript features out of the box.
• Modular architecture: Built around controllers, services, and modules for better organization.
• Built-in dependency injection: Simplifying the management of dependencies and separation of concerns.

NestJS's opinionated nature means a steeper learning curve, especially for those new to concepts like dependency injection and decorators. However, this structure can lead to more maintainable and scalable applications in the long run.

Popularity and Community Support: Express vs NestJS

When it comes to popularity, Express has been the reigning champion for years. Its simplicity and longevity have made it a favorite in both small startups and large enterprises. The Express community is vast, with countless modules, tutorials, and resources available.

NestJS, while younger, has been gaining traction rapidly. Its TypeScript-first approach and Angular-inspired architecture have made it particularly popular among developers coming from a frontend background or those working on large-scale backend projects.

Choosing Between Express and NestJS for Your Project

Selecting the right framework depends on various factors:

Architectural Differences

Framework Structure

NestJS provides a structured framework with a clear architecture, making it easier to manage large-scale applications. Express, on the other hand, offers more flexibility with a minimalistic approach, which can be both an advantage and a challenge depending on the project requirements.

Use of TypeScript

NestJS is built with TypeScript, offering all the benefits of static typing and modern JavaScript features out of the box. Express is primarily based on JavaScript but can be used with TypeScript through additional configuration.

Project Complexity and Scale

For simple APIs or small projects, Express's minimalism might be perfect. For larger, more complex applications, NestJS's structured approach could be beneficial.

Team Expertise and Preferences

If your team is comfortable with TypeScript and enjoys a more opinionated framework, NestJS might be the way to go. For those who prefer more freedom in their code structure, Express could be the better choice.

Development Speed vs. Long-term Maintainability

Express allows for rapid prototyping and quick setups. NestJS, while potentially slower to start with, can offer better long-term maintainability for larger projects.

Use Cases for Express

Express shines in scenarios where you need:

• Quick prototypes or MVPs
• Simple REST APIs
• Maximum flexibility in project structure
• Integration with a wide variety of third-party modules

Use Cases for NestJS

NestJS is particularly well-suited for:

• Large-scale enterprise applications
• Microservices architectures
• Projects requiring strict typing and advanced JavaScript features
• Teams familiar with Angular or similar frameworks

Express vs NestJS: Choosing the Right Framework

To summarize:

Express: A minimalist and flexible Node.js framework suitable for developers looking for simplicity and high performance. It offers a fast learning curve and allows for extensive customization through third-party modules.

NestJS: A comprehensive and opinionated framework built with TypeScript, ideal for enterprise-level applications. It offers a structured approach, built-in features, and strong support for modern development practices.

The Benefits of Learning Both Frameworks

While it might seem like you need to choose one or the other, there's significant value in learning both Express and NestJS. Here's why:

• Versatility: Understanding both frameworks makes you more adaptable to different project requirements.
• Broader perspective: You'll gain insights into different architectural approaches in Node.js development.
• Career opportunities: Many companies use Express, while NestJS is gaining popularity in enterprise settings.

Learning Express can help you understand the basics of Node.js backend development, while NestJS can introduce you to more advanced concepts like dependency injection and modular architecture.

In the end, both Express and NestJS have their strengths. Express offers simplicity and flexibility, while NestJS provides structure and scalability. The best choice depends on your project needs, team expertise, and long-term goals.

Whether you choose Express, or NestJS, or decide to learn both, you're investing in valuable skills for your career in Node.js development. The key is to start building and gaining hands-on experience with these powerful tools.

FAQ (Frequently Asked Questions)

Is Express easier to learn than NestJS?

Generally, yes. Express has a simpler structure and fewer concepts to grasp initially. NestJS, with its TypeScript foundation and more complex architecture, typically has a steeper learning curve.

Can I use TypeScript with both NestJS and Express?

Yes, you can use TypeScript with both NestJS and Express. NestJS is built with TypeScript support out of the box, while Express can be configured to use TypeScript through additional setup.

Which framework is better for microservices?

While both can be used for microservices, NestJS is often preferred due to its modular architecture and built-in support for microservices patterns.

Is Express being phased out in favor of NestJS?

No, Express is still widely used and maintained. NestJS is gaining popularity, but Express remains a solid choice for many projects.

Can I switch from Express to NestJS in an existing project?

While possible, switching frameworks in an existing project can be challenging. It's often better to start new projects with your chosen framework rather than migrating old ones.

1. 

   What is Back-End Development

2. Roles and Responsibilities of a Back-End Developer

3. Should you pursue a career in Back-End Development?

4. How to pursue a career in Back-End Development?

5. Where to learn these Back-End Development Skills?

6. Conclusion

What is Backend Development?

Backend Development refers to the process responsible for server-side logic in web applications, as well as integrating work done by the front-end web developers. Skills needed to be a back-end developer involve putting the core code that allows websites to handle actions users make on the front-end and provide correct information back.

Average Backend development salary differs depending on their industry, level of seniority, company size, and even where they live. For instance, according to the job market research site PayScale, in the United States, the average annual salary for a full stack developer is $95,494 per year.

The code written by the backend developers helps the browsers to communicate with a database and save data into a database, read data out of the database, update data, and remove data or information from a database. Some of the common backend languages are usually running in frameworks that make back-end development jobs easier.

Skills needed to be a back-end developer includes using tools like MySQL, MongoDB, Oracle, and SQL Server to create, read, update, or delete data and serve it back to the client-side, or front-end, of the application. Backend developers write code focused on functionality and logic powering the app they are working on, and the technologies they are working with are never seen by users directly.

Roles and Responsibilities of a Backend Developer

Back-End Developers are responsible for using coding languages to build code that makes a web app work as it should. Back-End Developers write code focusing on functionality and logic powering the applications they are working on, and the technologies they are working with are never seen by users directly.

The backend developer understands the framework created by backend engineers, concentrates on features or tasks that allow the software to develop, and is someone who makes use of the technologies required for developing the products on the backend side of any site.

To keep a server, application, and database all communicating with one another, backend developers use backend languages such as PHP, Ruby, Python, Java, and.Net to create the application, and tools such as MySQL, Oracle, and SQL Server to locate, store, or modify data and serve it back to the user in the front-end code.

Arguably one of the most important members of a web-development team, back-end developers do all the work behind the scenes. Did you know? An average back-end development salary in the United Kingdom is £35k per year whereas entry-level positions pay about £30k, and experienced workers make more than £75k.

Should you pursue a career in Backend Development?

In the back-end development career roadmap, if you know a programming language and have database experience, there is nothing stopping you from landing a back-end development job. The field of web development is growing consistently as more businesses switch over to the internet for advancements in technology. The result of this high demand is that the Back-end development salary now is the highest than it has ever been.

Never have so many companies needed back-end developers than right now! Back-end developers are in high demand―so much so that companies are enabling a hybrid workforce committed to working on diverse projects. This is great news for the career trajectory of back-end developers who know Java, PHP, Python, and .NET as they could be well-placed if they want to get hired because these types of professionals are super demanded by the market right now.

How to pursue a career in Backend Development?

In order to learn how to be a back-end developer, you will need to first familiarize yourself with the skills needed to be a back-end developer including learning many core programming languages, software development tools, and databases.

Generally speaking, it's also vital to know how to code in HTML and CSS, which are used when creating web pages themselves so as not to confuse ourselves with the front end. And if you really want to go deep on back-end development (including such things as server programming), then learning Python or Ruby is the way to go, followed by SQL (Structured Query Language).

Where to learn these Back-End Development Skills?

Most of the time, being a successful web developer isn't about having the right credentials, but instead about learning the right skills which is why learning these high-paying skills on your own is the main crux of this web development job. For freshers, a Back-end developer guide for beginners can be a great way to kickstart your career in this industry.

Following are the skills required for a Back-End Development Career:

• Backend Programming Languages - Java, PHP, and Python
• Knowledge of Front-End Technology - Javascript
• Back-End Frameworks - Django and NodeJS
• Knowledge of Databases - MongoDB, MySQL, and PostgreSQL
• Knowledge of APIs - SOAP, REST, and JSON

You can learn these skills on your own with online Web Development courses or even YouTube videos as there is no dearth of learning materials on the Internet if you're working towards a career in this field, but self-learning through resources like youtube lacks the structure required for a stable web developer career.

There are countless free resources available on platforms like Udemy, Coursera, and LinkedIn Learning, but if you're dead set on learning back-end development at a beginner or intermediate level, we highly recommend enrolling in Back-End Developer Guide For Beginners with these sources available.

In addition, these platforms offer the added benefit of providing in-depth coverage of this topic while providing their students with a certificate of completion upon completing the courses and earning respectably according to the back-end development salary standards.

Conclusion

We've created this lucrative guide on how to be a back-end developer, to help you understand what it takes to become a successful website developer. If you're looking to become one of the best back-end developers in the industry, then you have to remember that being a successful web developer isn't about having the right credentials, but instead, it is about learning the right skills.

These jobs are very high-paying, but they are not easy to get. You must have a solid understanding of at least one programming language, as well as advanced knowledge of databases and web development. We hope this blog post has helped you learn more about the back-end development jobs available today!

Thank you for reading, we are always excited when one of our posts is able to provide useful information on a topic like this!

American Sign Language (ASL) is one of the most commonly used languages in the U.S. and ranks as the fourth most-studied second language in American universities. With hundreds of colleges offering ASL instruction, and at least 35 states recognizing it as a modern language, its popularity continues to grow.

That’s why we’ve curated some of the best online ASL classes to help you get started. Whether you're learning to communicate with Deaf or hard-of-hearing individuals, support someone in your family, or just want to expand your skills, learning sign language can make a real difference.

Taking an ASL course online can help you:

• Sign the alphabet accurately from memory
• Recognize and understand each letter in ASL
• Build fluency in fingerspelling
• Sign and understand short words and names

These are practical, real-world skills, and you don’t need to be an expert to start.

Best American Sign Language (ASL) Courses

1. American Sign Language (ASL) Course: Learn the Basics
2. Learn & Master Sign Language
3. ASL | First 120 Basic Signs | American Sign Language
4. American Sign Language (ASL) 101 & ISL
5. ASL | The Alphabet For Beginners | American Sign Language
6. 25 ASL Signs You Need to Know | ASL Basics | American Sign Language for Beginners
7. American Sign Language "Basics"
8. Educating Deaf Children: Becoming an Empowered Teacher
9. American Deaf Culture

Disclosure: We're supported by the learners and may earn from course purchases.

1. American Sign Language (ASL) Course: Learn the Basics

Instructor: Intellezy Trainers

If you're new to ASL and want to start from scratch, this course covers all the essentials, from the alphabet and finger-spelling to everyday signs like food, colors, animals, and feelings. It’s designed to give you a working base in the language, with guided practice and visual examples that build gradually. You’ll even wrap up by performing a short ASL story to show what you’ve learned.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Duration: 2.5 Hours
• Students Enrolled: 20,000+
• Certificate: Yes

Quick Highlights:

• No prior knowledge required.
• Includes vocabulary + sentence structure.
• Covers common themes like family, professions, and verbs.

What You'll Learn:

• Sign the full ASL alphabet and finger-spell words.
• Build vocabulary across common topics like food, feelings, and colors.
• Understand basic sentence flow in ASL.

Requirements:

• Just your hands and willingness to practice regularly.

Why Take This Course:

It’s a well-paced intro that focuses on everyday words and signing clarity, no fluff, no filler. This course is best for anyone who wants to start learning ASL with a structured, topic-based approach.

2. Learn & Master Sign Language

Instructor: Dr. Byron Bridges & Stacey Webb (via Legacy Learning Systems)

This ASL course is ideal if you want a complete journey from basics to fluency in American Sign Language. You'll start with the ASL alphabet, simple introductions, and everyday phrases, then move into advanced vocabulary, sentence structure, and storytelling. It’s structured across 25 comprehensive sessions with downloadable lesson books, practice drills, quizzes, and cultural insights.

• Platform: Udemy
• Course Rating: 4.5 out of 5.0
• Duration: 47 Hours
• Students Enrolled: 19,900+
• Certificate: Yes

Quick Highlights:

• Starts with alphabet, gestures, and essential grammar.
• Over 2000 signs taught using visuals, drills, and guided practice.
• Includes tips on Deaf culture, storytelling, and expressive clarity.

What You'll Learn:

• Sign full sentences, dialogues, and narratives with confidence.
• Build up speed in fingerspelling using progressive-speed practice.
• Use classifiers and expansion techniques to add emotion and flow.
• Get familiar with common expressions used in real conversations.

Requirements:

• Download the lesson book before starting (available in Section 1).

Why Take This Course:

If you’re looking for a comprehensive, DVD-style experience with strong instructor support and a structured curriculum, this one stands out. It blends foundational ASL with advanced skills like expressive fluency and walks you through each step. Ideal for motivated beginners who prefer step-by-step learning over piecemeal videos.

3. ASL | First 120 Basic Signs | American Sign Language

Instructor: Michael (Able Lingo ASL)

If you want to learn ASL as a beginner, this course is built for you. It teaches 120 essential signs through grouped practice, testing, and visual repetition. You'll move through themed batches of vocabulary like greetings, feelings, daily objects, and questions, with mini-tests every 10 signs to boost memory. No prior experience needed.

• Platform: Udemy
• Course Rating: 4.9 out of 5.0
• Duration: 7.5 Hours
• Students Enrolled: 1,800+
• Certificate: Yes

Quick Highlights:

• No prior knowledge required.
• Includes vocabulary + sentence structure.
• Covers common themes like family, professions, and verbs.

What You'll Learn:

• Sign and recognize 120 essential ASL words from scratch.
• Practice hand shape, placement, and expression for clarity.
• Build vocabulary around everyday needs: people, questions, actions.

Requirements:

• A device to watch lessons and the motivation to sign along.

Why Take This Course:

With structured groupings, repeat reviews, and confidence-boosting tests, this course makes the most of your study time. Perfect for beginners or anyone looking to review ASL fundamentals the smart way.

4. American Sign Language (ASL) 101 & ISL

Instructor: Deaf Instructor

This course blends American Sign Language (ASL) and International Sign Language (ISL), giving you a deep look into deaf culture, visual communication, and natural signing flow. Taught by a native deaf instructor, the course focuses heavily on grammar, facial expression, spatial use, and poetic elements that help you sign like a native. With 13+ hours of lessons, it’s ideal for learners who want to do more than memorize vocabulary.

• Platform: Udemy
• Course Rating: 4.3 out of 5.0
• Duration: 13.5 Hours
• Students Enrolled: 700+
• Certificate: Yes

Quick Highlights:

• Native deaf instructor with global exposure.
• Teaches both ASL and broader visual signing concepts.
• Focus on grammar, classifiers, and Deaf cultural insight.

What You'll Learn:

• Master sentence structure, visual grammar, and classifiers.
• Explore mouth morphemes, facial expressions, and poetic signs.
• Understand the mindset and thinking process of Deaf communities.

Requirements:

• Basic tech access and willingness to observe and sign visually.

Why Take This Course:

This isn’t a “just learn signs” course. It’s a deep dive into how Deaf people actually communicate, fluidly, visually, and with expression. Great for anyone serious about fluency or interpretation.

5. ASL | The Alphabet For Beginners | American Sign Language

Instructor: Michael (Able Lingo ASL)

This short course focuses entirely on mastering the ASL alphabet—the foundation for fingerspelling and future signing. It teaches each letter step by step, then moves into recognition and fluency exercises using multiple angles and repetition. It’s perfect for total beginners who want to get comfortable with the ABCs before tackling words or phrases.

• Platform: Udemy
• Course Rating: 4.8 out of 5.0
• Duration: 2.5 Hours
• Students Enrolled: 3,000+
• Certificate: Yes

Quick Highlights:

• Beginner-friendly and slow-paced.
• Includes drills for speed and recognition.
• Focuses only on ASL alphabet fluency.

What You'll Learn:

• Sign and recognize all letters of the ASL alphabet.
• Improve your fingerspelling speed and clarity.
• Build confidence to use the alphabet in real conversations.

Requirements:

• Just curiosity, time, and your hands. No prior experience needed.

Why Take This Course:

If the alphabet feels intimidating, this course gives you focused, patient guidance with zero distractions. Ideal for students who want to master the building blocks before moving to full words or conversations.

6. 25 ASL Signs You Need to Know | ASL Basics | American Sign Language for Beginners

Instructor: Meredith from Learn How to Sign

This beginner-friendly YouTube video is a great crash course if you're just starting out. Meredith walks you through 25 essential signs using slow, clear demonstrations that are easy to follow. You’ll learn basics like greetings, emotions, and common everyday words, making this a useful resource for total newcomers who want to test the waters before committing to a full course.

Quick Highlights:

• No signup or fees, free and accessible
• Taught by a native signer
• Great visual clarity and friendly tone

What You'll Learn:

• 25 useful ASL signs including "Hello", "Thank You", "Yes", "No", and "I Love You"
• Facial expression cues and hand shape tips
• Every day conversational signs

Requirements:

• Just your screen and a few minutes of attention

Why Take This Course:

Perfect for anyone who wants to dip their toes into ASL. It's short, engaging, and ideal for visual learners. If you're looking for a casual way to start learning sign language, this video is a must-watch.

7. American Sign Language "Basics"

Instructor: JP Cappalonga

If you're completely new to American Sign Language, this short beginner-friendly course will help you ease in. You’ll start with the manual alphabet, learn basic phrases, how to count to ten, and get an introduction to Deaf culture. Lessons are video-based with plenty of follow-along practice to make sure you remember what you learn.

• Platform: Udemy
• Course Rating: 4.7 out of 5.0
• Duration: 2 Hours
• Students Enrolled: 1,770+
• Certificate: Yes

Quick Highlights:

• No tools required, just watch and sign along.
• Includes fingerspelling and beginner vocabulary.
• Touches on Deaf culture basics.

What You'll Learn:

• Introductions, basic sentences, and numbers.
• The complete ASL alphabet with finger-spelling.
• Cultural insights into the Deaf community.

Requirements:

• Just your hands and willingness to practice along with the instructor.

Why Take This Course:

A great choice if you’re looking for a light, practical entry point into ASL without getting overwhelmed. Perfect for total beginners or casual learners who want to build a basic foundation.

Bonus Courses For ASL Learners

8. Educating Deaf Children: Becoming an Empowered Teacher

Instructors: Odette Swift and Tara Kuhn

If you're an educator, caregiver, or someone interested in how Deaf children learn, this course dives into the cultural and educational challenges they face. It doesn’t teach sign language, but it does explore Deaf identity, learning accessibility, and how early language exposure shapes academic and emotional growth. Great for teachers looking to make their classrooms more inclusive.

• Platform: Coursera
• Course Rating: 4.9 out of 5.0
• Duration: 2 weeks at 10 hours/week; learn at your own pace
• Students Enrolled: 18,000+
• Certificate: Yes (Free to audit; paid certificate optional)

Quick Highlights:

• Covers the Deaf community, identity, and culture
• Accessible for non-signers and educators
• Taught by Deaf education experts

What You'll Learn:

• How Deaf students experience learning differently
• Classroom strategies for inclusive and accessible education
• The role of language-rich environments in Deaf child development

Requirements:

• Just curiosity and a willingness to rethink traditional education methods.

Why Take This Course:

While not focused on signing, this is one of the most valuable courses if you’re serious about understanding the Deaf community and creating inclusive educational spaces. A must-take for teachers and allies.

9. American Deaf Culture

Instructors: Terrell Brittain

This is not your typical ASL course. Instead of teaching hand signs or fingerspelling, it dives into the experiences, history, and identity of the American Deaf community. From audism and discrimination to Deaf education and civil rights, it gives a real understanding of what shapes Deaf culture in the U.S. Perfect if you want to go beyond vocabulary and connect with the people behind the language.

• Platform: Coursera
• Course Rating: 4.5 out of 5.0
• Duration: 5 hours (6 short modules)
• Students Enrolled: 16,000+
• Certificate: Yes (Optional)

Quick Highlights:

• No signing involved; this is a culture-focused course
• Learn about education laws, audism, and Deaf identity
• Based on real Deaf community experiences

What You'll Learn:

• Understand the foundations of American Deaf Culture
• Explore topics like audism, education, and legal frameworks
• Recognize the importance of language access for Deaf children

Requirements:

• Just your interest in cultural understanding and a device to stream lessons.

Why Take This Course:

If you want to work with, teach, or understand Deaf individuals beyond the language itself, this course will give you a solid social and cultural foundation.

How We Chose These Courses (And Why They Work)

We didn’t just pick the highest-rated or most-viewed ASL courses online. Instead, we focused on:

• Courses that teach you to actually sign, not just watch.
• Instructors who are native signers or deeply involved in the Deaf community.
• Clear learning outcomes: vocabulary + comprehension + cultural context.
• Proof of student success through reviews, updated material, and feedback loops.

We also tested a wide range of course types, from casual video-based lessons to structured university modules, and chose only those that:

• Were beginner-accessible
• Didn’t overload with theory
• Gave enough practice material to actually build signing confidence

Where You’ll Actually Find Good ASL Courses

Let’s be honest, not all learning platforms are equal when it comes to sign language.

Here’s what we found:

• Udemy: Best for bite-sized, beginner-friendly ASL courses. Low cost, lots of repetition, but quality varies; we handpicked only the ones that deliver clarity and structure.
• Coursera: Great for learners who want more than just signs. These courses often focus on Deaf education, culture, and pedagogy, ideal if you’re a teacher or aiming for certification.
• YouTube: Excellent for free vocab refreshers and daily practice, especially from creators who are native signers. But it lacks structure for absolute beginners.

Avoid relying solely on random “best of” lists, many recycle the same courses without checking quality or relevance. Our list is human-reviewed, culturally sensitive, and updated for 2025.

How to Pick the Right Course for You

Here’s how to choose the right ASL course, without wasting hours:

• Know your goal: Want to talk to a Deaf friend? Teach kids? Work in education? Your purpose decides your course.
• Match your pace: Some courses are 30 mins, others go up to 20+ hours. Choose what you can realistically finish.
• Watch the instructor demo: If they’re hard to follow visually, skip. Signing clarity > production quality.
• Culture matters: Some of the best ASL courses also teach about the Deaf community’s values and identity, which helps you connect, not just memorize signs.

FAQs

Can I learn ASL online for free?

Yes, many free resources are available on YouTube, and some platforms like Skillshare or Udemy offer free versions. But structured paid courses usually provide better progression and practice material.

How long does it take to learn ASL?

You can start having basic conversations in a few weeks if you practice regularly. Full fluency (especially with Deaf culture and expression) takes consistent effort over months.

What’s the best ASL course for absolute beginners?

Courses like ASL | First 120 Basic Signs or ASL Basics on Udemy are great places to start, they’re slow-paced, beginner-friendly, and focus on real signing.

Do I need to know ASL to talk to a Deaf person?

Not necessarily, but learning ASL shows respect and improves communication. Even fingerspelling or simple signs can make a big difference.

Is ASL the same as sign language in other countries?

No. ASL is unique to the U.S. and parts of Canada. Other countries have their own sign languages, like BSL (British), Auslan (Australia), etc.

Related Readings:

If you want to learn ASL to improve how you communicate, these guides can help you build related skills:

• Best Speed Reading Courses
• Best Communication Skills Courses
• Learn Body Language Online
• Best Leadership Courses

Whether you're inspired by The Queen’s Gambit or just tired of losing to your cousin in three moves, chess is one skill worth mastering.

Played by millions across the globe, chess isn’t just a game. It’s a brain workout, a memory booster, and a powerful tool to improve focus and strategy. Studies even show that regular chess playing can help sharpen IQ and reduce the risk of memory loss in older adults.

In this updated 2025 guide, we’ve handpicked the best chess courses and lessons for every level, whether you’re a complete beginner or looking to climb your next rating bracket.

Top Chess Courses List

1. The Complete Guide to Chess Tactics
2. Learn to Play Chess: From a Novice to a Fierce Competitor
3. The Complete Guide to Chess for Beginners (Rated 0 to 1500)
4. Chess Openings for White and Black Taught by a Grandmaster
5. Chess for Beginners - Learn Chess Strategy From Scratch
6. Understanding Chess Openings | How to play ANY opening well
7. Understanding Chess Tactics | How to Calculate Tactics Well
8. Building Chess Habits
9. Chess: From Beginner to Advanced at Warp Speed
10. Chess For Everyone!
11. Chess Openings for White and Black Taught by a Grandmaster

Disclosure: We're supported by the learners and may earn from course purchases.

1. The Complete Guide to Chess Tactics

Instructor: Tryfon Gavriel (FIDE Chess Candidate Master)

This course is all about tactical pattern recognition and calculation. If you know how the pieces move but struggle to convert positions into wins, this one’s for you. Tryfon Gavriel (also known as “Kingscrusher”) breaks down tactical ideas with clarity, giving you a strong mental framework to spot combinations and crush weak positions on the board.

• Platform: Udemy
• Course Rating: 4.4 out of 5.0
• Duration: 6.5 Hours
• Students Enrolled: 13,155+
• Certificate: Yes
• Best For: Beginner to intermediate players focused on tactical mastery.

Quick Highlights:

• Great for players who know the basics but want sharper combinations.
• Covers 70+ tactical patterns and common mating nets.
• Teaches both the "process" of calculation and the "content" (patterns).

What You'll Learn:

• Key tactical themes like fork, pin, decoy, and discovered check.
• Calculation skills to find and execute strong combinations.
• How to recognize the opponent’s weaknesses and convert them.
• A rich library of mating patterns and tactical traps.

Requirements:

• A basic understanding of how chess pieces move.
• Any board or digital platform for practice.

Why Take This Course:

This is one of the most exhaustive and pattern-focused tactical chess courses online. Best for improving players who want to sharpen their calculation and tactics. Certification included via Udemy.

Final Note:

If you’ve ever felt lost mid-game, unsure of what to play next, this course builds the intuition and pattern memory to help you find winning moves faster.

2. Learn to Play Chess: From a Novice to a Fierce Competitor

Instructor: Alex Davidovic

This beginner-friendly chess course helps you go from your first move to confident gameplay. Created by an International Chess Master, it blends expert video lessons with interactive software exercises to reinforce your learning.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Duration: 3.5 Hours
• Students Enrolled: 9,831+
• Certificate: Yes
• Best For: Absolute chess beginners who want a strong foundation and fast progress.

Quick Highlights:

• Learn to play chess in under an hour.
• Includes the Chess Mates Companion software for hands-on training.
• Focuses on early development, king safety, and tactical checkmates.

What You'll Learn:

• How to develop your pieces efficiently
• Opening principles for beginners
• How to protect your king and avoid blunders
• Checkmating strategies from common positions
• How to use interactive software for real practice

Requirements:

• No prior knowledge required
• A computer (Windows, Mac, or Linux) for Chess Mates Companion exercises

Why Take This Course:

Most beginner chess courses only explain rules, this one teaches you how to win. You’ll apply what you learn instantly using practical tools, making it perfect for learners who want rapid results and real improvement.

Final Note:

This course is best for complete beginners who want to build a strong, practical foundation in chess. Certification is included upon completion via Udemy.

3. The Complete Guide to Chess for Beginners (Rated 0 to 1500)

Instructor: Tryfon Gavriel (FIDE Chess Candidate Master)

This course is built for learners starting from zero. With structured sections on openings, middlegame, and endgame, each divided by skill level, you’ll gain a complete understanding of chess fundamentals, tactics, and common patterns.

• Platform: Udemy
• Course Rating: 4.4 out of 5.0
• Duration: 40.5 Hours
• Students Enrolled: 7,170+
• Certificate: Yes
• Best For: Absolute chess beginners and casual players looking to build a strong base

Quick Highlights:

• Fully beginner-friendly structure
• Covers all game phases (Opening, Middlegame, Endgame)
• Led by a FIDE Candidate Master
• Explains traps, tactics, and core strategies in-depth

What You'll Learn:

• Rules of chess and how each piece moves
• Opening strategies, traps, and gambits
• Tactical concepts like forks, pins, skewers
• Critical endgame principles like Opposition and Triangulation
• How to play with a plan from start to finish

Requirements:

• No prior chess experience needed
• Just a desire to learn the game from scratch

Why Take This Course:

The step-by-step format makes it easy to follow, even for complete newbies. If you're someone who’s seen a chessboard but never understood it, or you want to revisit fundamentals with clarity, this course is the perfect guide.

Final Note:

Whether you're inspired by The Queen’s Gambit or just tired of losing in three moves, this course breaks down everything into digestible lessons, making it one of the most complete beginner chess courses available on Udemy.

4. Tactic Ninja - Sharpen Your Chess Tactics with a Grandmaster

Instructor: GM Avetik Grigoryan (Grandmaster)

If you're stuck at the same rating despite solving puzzle after puzzle, this course shows you why. GM Avetik Grigoryan helps you fix the two most common tactical training mistakes: solving puzzles without understanding motifs, and "studying" without actually training. The course is fully interactive and built to train your tactical vision, not just test it.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Duration: 19.5 Hours
• Students Enrolled: 1,288+
• Certificate: Yes
• Best For: Chess beginners and intermediate players aiming to boost their tactical strength.

Quick Highlights:

• Learn 20 essential tactical motifs through active puzzle solving.
• Features the “3 Question Method” to spot hidden tactics.
• Grandmaster-led with real feedback from students who gained 100–200+ rating points.

What You'll Learn:

• Master pins, forks, skewers, and more through guided training.
• Practice while learning, not just watch and forget.
• Learn how Grandmasters think and find tactics in real games.
• Train your pattern recognition without knowing the theme in advance.

Requirements:

• Basic knowledge of chess rules.
• Motivation to interact, this is not a passive course.

Why Take This Course:

It focuses on building real tactical strength through Grandmaster-style training, not passive watching.

This course is the best for committed learners who want to cross the 2000 rating mark by mastering tactics properly. Certification included via Udemy.

Final Note:

If you've ever felt like puzzles aren't helping anymore, this course gives you a smarter, more structured way to finally see results.

5. Chess for Beginners - Learn Chess Strategy From Scratch

Instructor: Shervin House

This is a complete beginner’s roadmap to chess, from board setup to strategy, openings, tactics, and endgames. Shervin House simplifies every part of the game using real examples, visual breakdowns, and "solve with me" puzzles. The course has also been reviewed by two International Masters, making sure it doesn’t miss any critical fundamentals.

• Course Rating: 4.6 out of 5.0
• Duration: 5.5 Hours
• Students Enrolled: 12,666+
• Certificate: Yes
• Best For: Chess beginners and casual players looking for a full 3-phase chess strategy.

Quick Highlights:

• No prior chess experience needed.
• Covers opening, middlegame, and endgame in one go.
• Includes practical puzzles and common beginner mistakes.

What You'll Learn:

• How to develop your pieces and control the board.
• Core tactics like pins, forks, and skewers.
• Smart time management and trading principles.
• How to handle real game positions with confidence.

Requirements:

• No rating or background required.
• Just motivation to learn and play.

Why Take This Course:

This course offers a complete, beginner-friendly system built with expert feedback and hands-on puzzles.

This course is the best for total beginners or casual players ready to build a solid chess foundation. Certification included via Udemy.

Final Note:

If you’ve never understood the “why” behind chess strategy, not just how the pieces move, this course connects all the dots from start to finish.

6. Understanding Chess Openings | How to play ANY opening well

Instructor: Mykhaylo Oleksiyenko (Grandmaster, Champion of Ukraine, PhD in Math, FIDE Trainer)

This course is a practical, no-nonsense guide to handling the first 10 moves with clarity and purpose. Rather than memorizing endless lines, you’ll learn why certain principles work and how to punish opponents who ignore them. Backed by real GM games, examples, and homework, this course gives you a full opening framework for both white and black.

• Course Rating: 4.7 out of 5.0
• Duration: 4.5 Hours
• Students Enrolled: 9,191+
• Certificate: Yes
• Best For: Beginner and club-level players looking to master opening strategy.

Quick Highlights:

• Covers universal opening principles with deep reasoning.
• Includes a downloadable GM-approved repertoire.
• Analyzes famous games where openings went wrong.

What You'll Learn:

• Where to place all your pieces during the opening.
• Why early castling and development matter.
• How to recognize and exploit your opponent’s opening mistakes.
• A full white and black repertoire for club-level games.

Requirements:

• Basic knowledge of chess rules and piece movement.
• Interest in understanding strategy over memorization.

Why Take This Course:

This course doesn’t just teach openings, it teaches opening understanding like a Grandmaster.

This course is the best for beginners and club players who want to play strong openings without memorizing tons of lines. Certification included via Udemy.

Final Note:

If you've ever started a game unsure of what to do by move 3, this course teaches you the “why” behind every good opening decision and what to avoid.

Although this course was last updated in 2021, the foundational opening strategies and GM insights still hold strong relevance for today’s players.

7. Understanding Chess Tactics | How to Calculate Tactics Well

Instructor: Mykhaylo Oleksiyenko (Grandmaster, Champion of Ukraine, PhD in Math, FIDE Trainer)

This course complements GM Mykhaylo’s popular openings course, but here, the focus is pure tactical clarity. If you’ve ever looked at a tactical puzzle and thought, “How was I supposed to see that?” — this course answers it. Through his 4-question framework, you’ll learn exactly what to look for, how to approach calculations logically, and how to recognize the signs that a tactic might be hiding in plain sight.

• Course Rating: 4.8 out of 5.0
• Duration: 2.5 Hours
• Students Enrolled: 3,600+
• Certificate: Yes
• Best For: Beginners to intermediate players ready to sharpen tactical calculation.

Quick Highlights:

• Grandmaster-level thought process made beginner-friendly.
• The “4 Tactical Questions” that improve real-game calculation.
• Includes puzzles, patterns, and even an opening trick GMs miss.

What You'll Learn:

• How to calculate chess tactics efficiently and accurately.
• What triggers combinations, and how to recognize them.
• Tactical motifs explained with logic, not memorization.
• Why certain patterns appear and how to anticipate them.

Requirements:

• Basic knowledge of how the chess pieces move.
• Willingness to actively think, not passively watch.

Why Take This Course:

This course trains your brain to think like a GM during sharp positions without the fluff. Best for players who want to improve not by guessing tactics, but by understanding why they work. Certification included via Udemy.

Final Note:

Though the course was last updated in 2020, the core method and mindset are timeless. It still ranks and delivers because it teaches fundamentals that most courses skip.

8. Building Chess Habits

Instructor: GM Aman Hambleton (chessbrah)

In this highly praised YouTube series, Grandmaster Aman Hambleton starts from scratch, literally from 400 ELO, and climbs upward using only beginner-friendly rules and thinking patterns. The goal? Help you build solid chess habits by avoiding complex theory and focusing on simple, repeatable decision-making.

Each episode breaks down what to do (and what not to do) at specific rating levels. You’ll watch how Aman wins games using clean positional play, while explaining his thought process in a relatable, no-jargon way.

• Platform: YouTube (Chessbrah EXTRA)
• Playlist: 32 videos
• Best For: Absolute beginners to intermediate players (400–1500 ELO)

Quick Highlights:

• 32 full episodes from 400 ELO to 1500+.
• Zero advanced theory, perfect for true beginners.
• Real-time game analysis from a Grandmaster’s POV.
• Designed to fix the bad habits holding you back.

What You'll Learn:

• What habits separate a 400-rated player from a 1000-rated one
• Simple chess rules that actually work in real games.
• Why certain mistakes keep showing up, and how to break the cycle.
• Strategic and tactical awareness without any overwhelm.

Requirements:

• Basic knowledge of how the pieces move
• Willingness to play games and apply the advice

Why Take This Course:

Aman doesn't just teach, he climbs the ladder with you, applying the same rules he gives you. This playlist is the best free chess content online for players who want to stop losing to random blunders and finally start improving. 100% free and beginner-safe.

Final Note:

Viewers have consistently reported fast ELO gains after following this series. If you're tired of theory overload, this series will give you structure, clarity, and confidence.

9. Chess: From Beginner to Advanced at Warp Speed

Instructor: Greg Vanderford

If you’ve been learning chess through random games or YouTube but never had formal training, this course fills the gap. Greg Vanderford breaks down strategy, tactics, and openings into short, digestible lessons, designed to upgrade casual players into consistent, strategic thinkers. Ideal for those who already know how pieces move and want to improve without spending months figuring it out alone.

• Course Rating: 4.2 out of 5.0
• Duration: 3.5 Hours
• Students Enrolled: 5,000+
• Certificate: Yes
• Best For: Self-taught players who want structured, fast-paced training.

Quick Highlights:

• Fast-paced 16-lesson format for quick improvement.
• Covers tactics, strategy, and opening plans with clarity.
• Includes 8 downloadable resources and practical examples.

What You'll Learn:

• How to spot tactics during real games.
• How to make a game plan instead of reacting randomly.
• How strong players think during each phase.
• Key opening principles to start strong consistently.

Requirements:

• A chessboard (digital or physical).
• Some experience with piece movement and basic tactics.

Why Take This Course:

It’s built specifically for players stuck in the “I know how to play, but I don’t know what to do” phase. This course is the best for hobby players looking to get structured, real coaching in a short time. Certification included via Udemy.

Final Note:

While it’s best for players with a bit of chess knowledge, even intermediate players have praised it for its clarity and fast impact.

10. Chess For Everyone!

Instructor: Robert Gumerlock

This course complements GM Mykhaylo’s popular openings course, but here, the focus is pure tactical clarity. If you’ve ever looked at a tactical puzzle and thought, “How was I supposed to see that?” — this course answers it. Through his 4-question framework, you’ll learn exactly what to look for, how to approach calculations logically, and how to recognize the signs that a tactic might be hiding in plain sight.

• Course Rating: 4.7 out of 5.0
• Duration: 2.5 Hours
• Students Enrolled: 3,979+
• Certificate: Yes
• Best For: Beginners and casual players who want a full-game strategy refresher.

Quick Highlights:

• Covers all 3 phases: Opening, Middlegame, Endgame.
• Focuses on strategy + tactical basics with real applications.
• Built for absolute beginners and casual hobbyists.

What You'll Learn:

• Chess fundamentals: piece value, movement, and board control.
• How to start strong with smart opening ideas.
• Core tactical motifs to use in the middlegame.
• Simple checkmate patterns for practical finishes.

Requirements:

• A chess set or app.
• Interest in improving your game systematically.

Why Take This Course:

It’s one of the most approachable full-game strategy courses, ideal for players who want structure without complexity. This course is the best for casual players looking for an easy-to-follow strategy guide from opening to endgame. Certification included via Udemy.

Final Note:

While this course is older, the concepts and teaching are still relevant for anyone starting their chess journey today.

11. Chess Openings for White and Black Taught by a Grandmaster

Instructor: GM Mesgen Amanov

If you play 1.e4 or want to learn how to counter it, this course is a practical guide from a Grandmaster who’s taught chess for over 15 years. Without overwhelming you with theory, GM Amanov teaches strong, easy-to-follow opening lines for both White and Black. It’s ideal for learners rated between 0–1700 who want solid opening plans without memorizing dozens of variations.

• Course Rating: 4.3 out of 5.0
• Duration: 1.5 Hours
• Students Enrolled: 900+
• Certificate: Yes
• Best For: Beginners and intermediate players learning 1.e4 openings from both sides.

Quick Highlights:

• Covers 20 1.e4-based openings with PGN support.
• Teaches strategic goals, not just move orders.
• Helps you play strong openings without deep memorization.

What You'll Learn:

• How to play 1.e4 openings with confidence as White.
• How to respond to 1.e4 as Black using sound systems.
• Common traps, ideas, and how to gain middlegame advantages.
• What makes certain openings easier or harder to handle

Requirements:

• Knowledge of basic chess rules and piece movement.
• A Lichess or chessboard app to review PGN lines.

Why Take This Course:

It’s a beginner-safe GM course that helps you build real opening plans, not just memorize moves. This course is the best for beginner and club-level players looking to master 1.e4 openings from both sides. Certification included via Udemy.

Final Note:

The course is older, but the lines are timeless, and the structure makes it easy to implement without prior knowledge of theory.

Final Thoughts

Whether you're just getting started or aiming to level up your rating, these chess courses give you the structure, tactics, and mindset you need to improve. Pick the course that fits your current level and start building habits that win games.

Benefits of Learning Chess Online

Learning chess through online courses gives you structured, flexible, and expert-driven support, whether you're a beginner or trying to climb the rating ladder. Here’s why it works so well:

• Learn from top-level instructors: Courses often feature grandmasters and professional coaches who teach real-game strategies and habits.
• Focus on the areas you need: From openings and tactics to endgame mastery, online courses let you improve specific skills at your own pace.
• Boost brain power: Regular chess training sharpens memory, decision-making, and focus. It’s even been linked to better academic performance.
• Learn on your schedule: Most lessons are self-paced, making them perfect for students, professionals, or anyone with limited free time.
• More affordable than private coaching: Online courses cost a fraction of in-person classes and are available on any device, anytime.

How to Choose the Right Chess Course

With so many online chess courses available, it’s important to pick one that aligns with your current level and learning goals. Here's how to make the right choice:

Assess your skill level

Are you just starting out, or do you already know the basics?

• For chess lessons for beginners, choose courses that cover piece movement, board setup, and basic tactics.
• If you’re more experienced, look for intermediate chess strategy courses or ones that focus on specific areas like openings or endgames.

Pick a reliable platform

Leading platforms like Chess.com, Chessable, Udemy, and Lichess offer structured courses designed by experts and grandmasters. They often include puzzles, interactive boards, and downloadable resources.

Look for a course with focus areas

Some chess training programs dive deep into tactics, while others are built around endgame mastery, openings, or mating patterns. Choose based on your weak spots.

Read learner reviews

Look for student feedback, ratings, and testimonials to gauge how effective and beginner-friendly a course really is.

Free vs Paid

Many free online chess lessons offer excellent foundational knowledge. But if you’re serious about mastering the game, investing in a paid, structured course is often worth it.

FAQs About Learning Chess Online

1. Can I learn chess as an adult beginner?

Absolutely. Many online courses are built for adults who’ve never played before. You don’t need any prior experience.

2. How long does it take to get good at chess?

With consistent practice and the right guidance, you can reach 1000+ ELO in a few months, especially using structured beginner courses.

3. Do I need a paid course to learn chess?

No. There are great free resources like YouTube playlists, but paid courses often offer better structure, feedback, and progress tracking.

4. What's the best way to practice what I learn?

Use Chess.com or Lichess.org to play games, solve puzzles, and test openings from your course.

Final Thoughts

Whether you're just getting started or aiming to level up your rating, these chess courses give you the structure, tactics, and mindset you need to improve. Pick the course that fits your current level and start building habits that win games.

Few things in life are as touching as giving a friend or family member a hand-drawn card, something you put effort into, something personal. Drawing is a form of visual expression where you use various tools to mark paper or any two-dimensional surface.

It’s a lifelong skill, useful far beyond just sketching portraits. In fact, drawing plays a role in business illustrations, animation, architecture, engineering, and technical design. A quick, freehand sketch, not always intended as a finished work, is often called a “sketch,” while someone who works in technical drawing may be known as a drafter or designer.

The best part? You don’t have to be born with artistic talent.

Whether or not you believe it, everyone starts with a basic level of creative ability. What separates beginners from skillful artists usually comes down to just three things: Practice, Mentorship, and Passion.

And thanks to today’s online platforms, you can access all three from home.

Top Drawing Classes List

1. The Ultimate Drawing Course - Beginner to Advanced (Udemy)
2. Character Art School: The Complete Character Drawing Course (Udemy)
3. Drawing and Painting on the iPad with Procreate (Udemy)
4. The Ultimate Digital Painting Course - Beginner to Advanced (Udemy)
5. The Art & Science of Drawing/BASIC SKILLS (Udemy)
6. The Ultimate Character Design Course (Udemy)
7. Anatomy for Figure Drawing: Mastering the Human Figure (Udemy)
8. How to Draw Cute Cartoon Characters (Udemy)

Disclosure: We're supported by the learners and may earn from course purchases.

1. The Ultimate Drawing Course - Beginner to Advanced

Instructor: Jaysen Batchelor, Quinton Batchelor

This comprehensive course takes you from the very basics to advanced drawing techniques through structured lessons and hands-on projects. With over 50 guided exercises, students develop the core skills needed to create professional-level art across different styles.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Students Enrolled: 530,000+
• Duration: 11 hours
• Certification: Yes
• Best For: Beginners who want to build strong fundamentals and gradually level up their drawing skills.

This course is ideal for beginners looking to build confidence in drawing and develop practical art skills. It includes 50+ projects and offers certification on completion through Udemy.

2. Character Art School: The Complete Character Drawing Course

Instructor: Scott Harris, Art Director & Lead Instructor

This complete character drawing course focuses on helping students master professional character design across multiple styles, cartoons, manga, animation, comics, and more. With a step-by-step format and guided assignments, learners progress from fundamentals to advanced concepts like dynamic poses, facial expressions, and 3D character visualization.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Students Enrolled: 305,800+
• Duration: 28 hours
• Certification: Yes
• Best For: Aspiring illustrators, animators, or comic artists who want to build advanced character art skills in any drawing style

This course is perfect for those passionate about character art in games, comics, or animation. It helps you master core drawing techniques while developing your own style. Includes certification through Udemy.

3. Drawing and Painting on the iPad with Procreate

Instructor: Brad Colbow

This course covers everything you need to know about drawing digitally using Procreate on the iPad. From tool walkthroughs to creating full comic strips and final paintings, it’s packed with hands-on projects ideal for beginners. Whether you're new to iPads or transitioning from paper, this course helps you build digital art confidence step-by-step.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Students Enrolled: 82,000+
• Duration: 5.5 hours
• Certification: Yes
• Best For: Beginners learning to draw digitally using Procreate on the iPad

This course is best for new digital artists who want to master Procreate from scratch. It includes hands-on drawing projects and offers certification on completion through Udemy.

4. The Ultimate Digital Painting Course - Beginner to Advanced

Instructor: Jaysen Batchelor, Austin Batchelor

This course teaches everything from drawing foundations to advanced digital painting techniques. Learners start with brush handling and drawing basics before progressing to still life, human figures, landscapes, and even photorealistic painting. It includes 18 comprehensive sections and 60+ projects designed to sharpen your technical and creative skills.

• Platform: Udemy
• Course Rating: 4.6 out of 5.0
• Students Enrolled: 105,000+
• Duration: 27 hours
• Certification: Yes
• Best For: Aspiring digital artists who want to build strong painting skills across subjects and styles

This course is perfect for beginners ready to dive into digital painting with a professional mindset. It offers over 60 projects and full certification upon completion via Udemy.

5. The Art & Science of Drawing/BASIC SKILLS

Instructor: Brent Eviston

This course breaks down the drawing process into short, daily lessons designed to build your skills progressively. From holding a pencil to creating detailed drawings, it focuses on the core principles that form the foundation of all great artwork. The teaching style is direct and practical, ideal for learners who prefer clarity over fluff. Whether you're into painting, sketching, or graphic design, mastering these basics will level up your creative work.

• Platform: Udemy
• Course Rating: 4.7 out of 5.0
• Students Enrolled: 90,000+
• Duration: 4.5 hours
• Certification: Yes
• Best For: Beginners and aspiring painters who want to develop precise control and clear fundamentals in drawing

This course is ideal for beginners who want to learn proper drawing techniques from the ground up. It teaches drawing as a skill anyone can develop and offers certification through Udemy.

6. The Ultimate Character Design Course

Instructor: Jaysen Batchelor, Quinton Batchelor

This course teaches you how to create original characters from scratch with professional-level skills. It covers everything from anatomy and facial expressions to costume, style, and storytelling. With a focus on both drawing techniques and character development, the course helps you build a complete portfolio piece by piece. Whether your goal is to work in games, comics, or animation, this course gives you the structure and practice to get there.

• Platform: Udemy
• Course Rating: 4.7 out of 5.0
• Students Enrolled: 40,200+
• Duration: 24 hours
• Certification: Yes
• Best For: Beginners or intermediates who want to design original characters for comics, video games, or animation

This course is perfect for students who want to learn character design from the ground up. It covers genres like anime, Pixar, and comics, and offers certification on completion through Udemy.

7. Anatomy for Figure Drawing: Mastering the Human Figure

Instructor: Neil Fontaine

This course focuses on mastering human anatomy to help you draw realistic and proportionate figures from imagination. Covering muscles, skeletons, body types, and motion-based anatomy, it’s structured for artists aiming to pursue careers in comics, concept art, or animation. You'll also learn how body parts shift in different poses, with simplified guides and practice tools designed for beginners and intermediate learners alike.

• Platform: Udemy
• Course Rating: 4.1 out of 5.0
• Students Enrolled: 68,000+
• Duration: 58.5 hours
• Certification: Yes
• Best For: Artists who want to confidently sketch the human figure for comics, animation, or game art

This course is ideal for anyone looking to master the human figure through anatomy. It covers over 65 hours of instruction and offers certification on completion through Udemy.

8. How to Draw Cute Cartoon Characters

Instructor: Ben Colefax

This course is a beginner-friendly way to learn how to draw cute cartoon characters for kids, artists, coders, and hobbyists. You’ll learn simple and effective ways to draw kawaii eyes, hair, and body shapes and tips to develop your own style. It’s hands-on, straightforward, and perfect for anyone who wants to bring their characters to life on screen or paper.

• Platform: Udemy
• Course Rating: 4.5 out of 5.0
• Students Enrolled: 28,400+
• Duration: 2.5 hours
• Certification: Yes
• Best For: Beginners, parents, coders or hobbyists who want to learn the basics of cute cartoon illustration.

This course has practice resources, clear instructions, and certification on completion through Udemy for learners.

Wrapping Up

Drawing is one of those rare skills that blends creativity, patience, and technique. Whether you're starting from scratch or trying to improve your fundamentals, the right course can help you build real confidence and structure.

From cartoon sketches to figure anatomy to digital painting—there’s something here for every kind of learner. These 10 courses cover a range of styles and tools, so all you need to bring is consistency and a pencil (or tablet).

And if you're looking to explore related creative topics, check out:

• Best Procreate Courses
• Best Graphics Design Courses with Certificates
• Best Anime Drawing Courses Online

Choose one, stick with it, and start drawing better today.

Why learn Julia?

Julia is most recommended for use in data science, machine learning, parallel computing, data visualization due to its high performance.  Julia uses LLVM - a target-independent optimizer and code generator, to compile the code and run it on different OS and architectures.

Julia is open source and has a very good developer ecosystem around it. Julia provides built-in libraries and packages that make it faster to work with scientific computing and numerical computing.

Julia is easy to use with various IDEs using built-in packages and plugins:

• Julia vscode plugin - for the VSCode
• Julia package - to run in the Jupyter notebook
• Pluto. ji package - to run in Pluti notebooks

It also solves the two-language problem, i.e, you need not design the prototype of the system first in a static language and then implement it in a dynamic language. You can directly build the system using the dynamic functionalities Julia caters us, including logging, profiling, debugging, asynchronous I/O and a package manager.

Disclosure: We're supported by the learners and may earn from course purchases.

1. Parallel Computing in Julia

This course provides in-depth knowledge to achieve multi-threading and distributed computing using Julia.

This course teaches the fundamental commands in Julia to set up parallel computing using multi-threading. It also covers Julia packages and tools. This course will explain the practical applications of parallelism.  The course uses real-world examples to dive into JuliaHub infrastructure, Julia package ecosystem, and techniques to optimize the parallel programs performance.

• Course rating: 4.8 out of 5.0
• Duration: 2.5 Hours
• Course enrollments: 5700+

This course is the best for Julia developers to understand parallel programming and its implementation. The course provides certification on completion through Udemy.

2. Julia Scientific Programming

This course is offered by the University of Cape Town to learn Julia Scientific Programming. This four-module course introduces users to Julia as a first language.

In this course, you will understand the capacities of Julia programming and create programs in Jupyter notebooks. This course teaches you about logical structures and, use of different Julia packages to create predictive models and generate graphs using the data. You will learn to build dataframes, conduct statistical tests, and create data visualizations.

• Course rating: 4.5 out of 5.0
• Duration: 19 Hours
• Course enrollments: 38000+

This course has 15 assignments and a certification on the course completion that make it the most popular Julia course among students.

3. Data Manipulation in Julia

This course covers complex data manipulation using real-world data sets. In this course, you will learn the DataFrames package to transform and group the dataset. You will also use the plot packages to create data visualization. It also covers how to handle columns and how to calculate summary statistics for the group data.

• Course rating: 4.7 out of 5.0
• Duration: 4 Hours

This course is for data scientists with a basic understanding of Julia programming. It's highly recommended to learn Julia fundamentals with Introduction to Julia and intermediate Julia before starting this course.  The course provides certification on completion through Datacamp.

4. Julia Programming for Machine Learning

This is the best course to learn the Julia programming fundamentals along with machine learning and data analysis concepts in Julia.

This course starts with Julia syntax, data types, and data structures for beginners. It covers fundamentals of functions, constructors, macros, and methods. In the second part of the course, it teaches data manipulation using DataFrames and  TimeSeries, how to solve machine learning problems using in-built packages, and create data visualization using tools in Julia. This course also covers multiple projects to understand the core concepts.

• Course rating: 4.5 out of 5.0
• Duration: 14.5 Hours

This course is the best for beginners to start learning Julia from scratch. The certification will be provided on the course completion.

5. Introduction to Data Visualization with Julia

Learn the basics and advanced techniques of data visualization in Julia with this course. This course teaches about Plots.ji - the most popular Julia package to create histograms, line plots, scatter plots, box plots, and violin plots from the real-world data sets. The course also covers the concept of customization in data visualization using themes, color palettes, multiple plots with grid layouts, and series plots.

• Course rating: 4.7 out of 5.0
• Duration: 4 Hours

This is an intermediate course and requires basic knowledge of Julia. It provides a certificate.

6. Julia 1 Fundamentals

This course explains the fundamental concepts of Julia for beginners. The course starts with an introduction and how to set up Julia, and then goes into the basic concepts, including data types, functions, and operators. Later, it covers how to work with large external data sets such as databases and large JSON files, and CSV files. This course also teaches about how Julia works with external programs and how to run Julia code from Python.

• Course rating: 4.5 out of 5.0
• Duration: 4 Hours

This program is good for gaining Julia knowledge and skills. The course plan includes the certification.

7. Learning Julia

This course begins with the introduction of the Julia programming language, and covers its syntax, basic concepts, features,  data types, numbers and strings, data type casting and control, and data structures. The course also explains how Julia combines the performance of C programming with the flexibility of Python, which makes it the best candidate for data science.

• Duration: 2.2 Hours
• Course rating: 3,385 total enrollments

This is the basic Julia course that helps you get familiar with Julia and be ready with the Julia setup in no time.

8.  Optimization with Julia

This is the best Julia course to learn how to solve complex problems using Julia. The course explains how to solve and optimize complex computer science problems using various solvers.

It covers the real-world examples and a step-by-step guide on how to optimize them using solvers such as the linear programming using CBC, Gurobi, CPLEX solvers, Mixed-Integer Linear Programming using MILP solvers, Nonlinear Programming using NLP solvers, Mixed-Integer Nonlinear Programming using Bonmin and SCIP solvers in Julia.

This course also explains double summation and multiple constraints problems and how to solve them in Julia.

• Course rating: 4.6 out of 5.0
• Duration: 6 Hours

This course is the best for graduate and PhD students as well as for professionals who need to solve complex problems.

9.  Introduction to Julia

This is the best Julia course for beginners to start with. This course starts with Julia basics such as variables, data types, and  Julia scripts. It also teaches data structures concepts in Julia and how to use them to processa  large set of data faster. You will also learn how to use functions and packages in Julia to reuse the code. The course covers the use of the DataFrames package to process a large set of CSV data in Julia.

• Course rating: 4.9 out of 5.0
• Duration: 4 Hours

This is the Julia certification course highly recommended for beginners who want to learn Julia for the first time.

10. Julia Programming For Data Science & Machine Learning

This course begins with the introduction of Julia and the fundamental concepts. The main focus of this course is how to use Julia in data science.

During this course, you will learn to analyse Data using DataFrames package and draw plots with the plots module in Julia. This course explains how to perform prediction using Linear Regression with the GLM Package and using Multiple Linear Regression on the existing data.

This course covers the high-level concepts such as logistic regression on data with Julia GLM, cluster data using K-Means clustering algorithm,m and reduce dimension of the dataset with PCA ,a multivariateStats package.

• Course rating: 4.4 out of 5.0
• Duration: 4 Hours
• Course enrollments: 2100+

This certification course is best for beginners who want to learn Julia, as well as for developers who need to use Julia for data science.

Wrapping Up

In a nutshell, we can say that Julia is indeed a dynamic, high-performance, efficient, and good-to-go language for the developers of the new age. With several added advantages and difficult-to-ignore features, Julia is a good choice if you are looking forward to dynamic mathematical, scientific, or statistical calculations in data science. In case you want to explore more, you can take the free Julia courses.
and the best courses on related topics:

• Best data science certifications
• Top machine learning courses for beginners
• Best Elixir courses

For employers and employees, the tech industry is a fast-growing, ever-changing landscape. This field is booming for developers and programmers, with a plethora of career possibilities that require a constantly expanding set of skills and knowledge. An understanding of the latest trends and skills in the field, such as Go language, or Golang, is essential for those seeking jobs in computer programming.

The purpose of this article is to explain what Golang is, to provide sample answers to several common Golang interview questions, and to provide tips for excelling at your next computer programming interview. So, without further ado, let's start with the golang interview questions.

Learn or improve your Golang skills online with the best Golang tutorials for beginners.

Golang Interview Questions For Beginners and Experienced

1) What is Golang?

Golang, also known as Go Language, is a computer language developed by Google employees. It was designed to make it easier for programmers to create and adapt their work for various situations.

Hiring managers often ask this question to ensure that you possess the basic knowledge necessary for the position. Answer this question in a way that anyone can understand, even if they're not in a technical position. To elaborate on your response, you could explain why some programmers use Go specifically.

2) How do you perform testing in Golang?

For computer programmers, testing is a fundamental practice. However, testing protocols vary from computer programming language to computer programming language. If you want to perform a test in Golang, follow these steps:

1. Create a new file. End it with _test.go.
2. Ensure your file contains the required Testxxx functions specific to what you want to test in your package.
3. Add your test file to the package you intend to test.
4. Enter your "go test" command. Upon completing the command, the test you wrote and added to the package will run automatically.

To ensure you can implement a necessary feature within the software, the hiring manager might ask you how to do testing in Golang so they can see how clearly you can explain the process. Provide specific, step-by-step instructions on how to run a test in Golang in your response. To make your explanation more clear, try writing the steps out on paper or drawing a chart for the hiring manager.

3) What are the advantages of using an empty struct in Go?

Hiring managers look for applicants who can not only handle basic programming in Golang but also make effective decisions based on their understanding of how the program works. One such test involves asking about the advantages of empty structs. Consider using the STAR method in your answer. STAR stands for:

• Situation: Provide a situation for your example answer.
• Task: Explain what your role in the task is.
• Action: Describe the specific actions you would take.
• Result: Share the result of your actions.

4) What makes Golang work so fast?

Answering in layman's terms and explaining the benefits of using a speedy language like Golang are your best options.

Example: Golang is incredibly fast, thanks to its design and syntax. Unlike many other programming languages, it has a small syntax and concurrency model, so it is faster. It's also incredibly fast to compile, and it is capable of generating machine code.

5) Can you name the benefits of working in Go rather than another programming language?

Golang offers many advantages for users, especially when compared to other popular coding languages.

• For one, it is extremely easy to use and relatively concise, making it easier to learn than other languages.
• Second, it is easy to integrate within your system, as it has built-in support for other widely used programs.
• Third, it's very fast and it keeps its speed no matter what operating system you're using.
• Lastly, it automatically manages its memory, which saves space and programming time."

To remember: In your answer, give examples of how Golang could be beneficial to the company for which you are interviewing.

6) What is the static type declaration of a variable in Golang?

Static type variable declarations confirm to the compiler that there is one variable with the given kind and name, which allows the compiler to continue without needing full insight into the variable. Variable declarations are important only at the time of compilation, as the compiler requires an actual declaration at the moment of connecting to the program.

7) Who created Golang?

Golang or Go is an open-source programming language created at Google by Robert Griesemer, Rob Pike, and Ken Thompson. It went live on November 10. 2009.

8) What is the dynamic variable declaration in Golang?

A dynamic kind variable declaration requires an explanation from the compiler regarding the kind of variable based on how much has been transferred to it. To categorize statically as a mandatory condition, the compiler does not need a variable.

9) Is Go case sensitive?

Yes, GoLang is case-sensitive which intimates in Go. Both 'ab' and 'AB' are distinct from one another, so listing them in the same code does not reveal any errors.

10) Mention the packages in Golang?

Like many other programming languages, Go runs on packages as well. A Go program starts with the "main" package; other packages, such as "fmt" and "math/rand", are imported using the word "import".

11) Explain pointers in Go?

Pointers are variables that hold the addresses of variables. In Golang, pointers are also called special variables. The two operators in a pointer are

• The * operator, also called a dereferencing operator, is used to access the value in the address
• The & operator, which is also called the address operator, returns the address of a variable

12) What is a constant variable in Go?

As the name implies, constants are fixed in a programming language and their meaning doesn't change. The value of a constant variable must remain the same throughout the program; we cannot change the value of a variable during the program.

13) Declare a constant variable in Golang?

Answer:

package main

import “fmt”

const a=5

Func main{

const AM=” app coursesity”

fmt.println(“hello”, AM)

fmt.println(“hi”, a)

}

14) Name the operators in Golang?

There are six operators in Golang:

• Relational operators
• Arithmetic operators
• Misc operators
• Bitwise operators
• Logical operators
• Assignment operators

15) Explain Methods in Golang?

The only difference between Go methods and Go functions is that the methods of Golang contain receiver arguments. With the cooperation of the receiver argument, the method can determine the characteristics of the receiver.

Syntax:

func(name type) method_name(param_list)(return_type)

{

     //code

}

16) List data types on Golang?

There are four types of data included in the Go language.

• Interface type
• Basic type numbers, strings, and booleans
• Aggregate type structures and arrays
• Reference type slices, pointers, maps, channels, and functions

17) What is the scope of a variable?

A variable's scope refers to the part of a program in which the variable can be accessed. Go's variables are statistically scoped, which means that the scope of a variable is declared at compile time. There are two types of variables in the Go language:

• Local variables are variables declared within a function or a block.
• Global variables are variables declared outside of a function or a block.

18) What is Golang workspace?

Golang workspace includes three directories as its root, the three root directories are:

• “Bin” contains executable commands
• "Src" the source file regulated into packages
• “Pkg” package objects are stored in the directory

19) How to return multiple values from a function?

Golang allows us to return multiple values from a function. The code below shows how to do this.

package main

import “fmt”

func reverse(a,b string)(string, string)

{

return b,a

}

func main()

{

x,y:= reverse(“app”,”coursesity”)

fmt.println(x, y)

}

20) Mention the advantages of Golang?

Advantages:

• It includes a garbage collector.
• Compilation is extremely fast.
• Strings and maps are built into the language
• Functions in this language are first-class objects

21) Can we declare the multiple types of variables in a single code line in Golang?

We can declare multiple types of variables in a single code declaration as shown below:

var x,y,a= 8, 10.1, “coursesity”

22) What are built-in supports in Golang?

There are five built-in supports in Golang:

• Database: SQL/database
• Web server: HTTP/net
• Compression: gzip/compress
• Container: heap/container list/ container
• Cryptography: crypto MD5/ crypto

23) Why was Golang developed?

For app developers, Golang is a great alternative to C++ and Java, particularly in its context as it relates to what Google needs for its network servers and distributed systems. It was designed to eliminate the sluggish pace of large server and software development processes and to make it easier to program for scalability and large systems.

24) Print HelloWorld in Golang?

Answer:

package main

import “fmt”

func main()

{

fmt.println(“Hello World”)

}

25) What is a “slice” in Golang?

Slices are lightweight data structures that are more convenient than arrays. They store homogeneous data in variable-length sequences.

26) What are the decision-making statements in Golang?

In Golang there are four decision-making statements:

• if Statement: determines whether certain statements are executed.
• if-else Statement: It will execute a block of code only if a specific condition is true, otherwise, it will not execute the block.
• Nested if Statement: A nested if is an if statement that is the target of another if or else.
• if-else-if Ladder: Multiple options are available to a user here. If statements are executed in a top-down manner. When one of the conditions controlling an if is true, the statement associated with that if is executed, and the rest of the ladder is bypassed. When none of the conditions are true, the final else statement is executed.

27) What is the GoPATH variable in Golang?

GoPATH variable is used to denote directories contained in $GoROOT which include all the sources for Go projects, including their binaries.

28) What is the GoROOT variable in Golang?

GoROOT indicates where your Go SDK is located. It is not necessary to modify this variable unless you plan to use multiple versions of Go. Workspace roots are determined by the variable GoPATH.

29) Why do we use the break statement in Golang?

For loops or switches, the break statement is used to permanently stop the loop or switch and write the next statement in rapid succession.

30) Explain structures in Golang?

In Golang, a struct or structure is a user-defined variety that helps a group or combines items of various types into a single type. Each real-world entity that possesses some characteristics can be represented by a structure.

For example, an entity “student” has a name, roll no, and address. The three attributes are better grouped into a single structure, "students", as shown below:

type address struct
{

name string

Rollno int

address string

}

31) Why do we use the continue statements in Golang?

The continue statement in Golang is somewhat similar to the break statement. Upon repeating the loop, it binds the remains of its body and quickly tests its state before repeating.

32) Which kind of conversion is supported by Golang?

Go takes explicit typing very seriously. It is not possible to automate type conversion. When converting a variable from one type to another, explicit type conversion is required.

33) Why do we use a Goto statement in Golang?

The goto statement in the Go programming language jumps unconditionally to a labeled statement within the same function.

Goto statements are discouraged in any programming language because they make it difficult to trace the control flow of a program, making it hard to understand and modify. You can rewrite any program that utilizes gotos using another construct.

34) How can we swap variables in Golang?

Answer:

func swap(sw []int) {

        for a, b := 0, len(sw)-1; a < b; a, b = a+1, b-1 {

                sw[a], sw[b] = sw[b], sw[a]

        }

}
func main() {

    x := []int{3, 2, 1}

    swap(x)

    fmt.Println(x)

    // Output: [1 2 3]

}

35) What is CGo in Golang?

Cgo allows the creation of Go packages that call C code. CGo produces Go and C files that can be merged into a unique Go package from a Go source file that is written with some unique features. Because C represents a "pseudo-package", a name that is unique in cGo and refers to C's namespace

36) What is the channel in Golang?

Channels are communication mediums through which a Goroutine communicates with another Goroutine, and these communications are lock-free. Essentially, a channel is a mechanism by which an individual Goroutine can send data to another Goroutine.

37) Does Golang support inheritance?

Golang does not support inheritance. Nonetheless, on top of the composition, embedding, and interface capabilities it provides code reuse and polymorphism.

38) What are the benefits of learning the Golang programming language?

There are numerous reasons why one should learn Golang. Let's look at them one by one:

• Easy to learn: The syntax of Golang is similar to C, so Java and C programmers can pick it up quickly. Golang's syntax is smaller and easier to read and write than that of other programming languages.
• Concurrency: Multithreading applications can be easily written in Golang.
• Networking: Go is an excellent choice for writing production-level networking applications like TCP or HTTP servers. Go features parsing libraries that can be easily plugged into other services.
• Tools: Since Golang is open-source, there are already many development tools available.
• Speedy execution: Go's language execution is very fast compared to other programming languages.

39) Is Go functional or object-oriented?

Go is a Post-OOP programming language that draws its structure (functions, packages, types) from the Pascal/Algol/Modula language family. Go still uses object-oriented patterns for constructing a program that is comprehensible and logical.

40) Explain Goroutines?

In a Goroutine, one function or method runs on another function or method concurrently. The threads are lightweight. As compared to threads, Goroutines are relatively cheap to create. Using goroutines requires you to pass a signal channel to the goroutine, and that signal pushes a value into when you want the goroutine to stop.

41) How to check the variable type at runtime in Golang?

To check the variable type at runtime in Golang, a special switch is used known as a Type Switch. Additionally, you can switch on the type of interface value with Type Switch.

42) How to compare two structs?

The "==" operator can be used to compare two structs, as with any other type. Make sure they do not contain any functions, maps, or slices in which the code cannot be compiled.

43) What's the difference between Unbuffered and Buffered channels?

• For Buffered channels, the sender will block when a slot is empty on the channel, while the receiver will block when it's empty.
• Unbuffered channels differ from buffered channels in that the sender blocks the channel until the receiver receives its data. Likewise, the receiver will block the channel until data is sent into it by the sender.

44) Can Go have optional parameters?

Go doesn't support optional parameters, nor does it support method overloading.

45) Does Go have exceptions?

Go does not have exceptions. Multi-value returns in Golang make it easy to report errors without overloading the return value for plain error handling. Go uses error values to indicate abnormalities.

46) What is Rune in Golang?

Rune is a built-in type in Golang, and it's an alias for int32. This value represents a Unicode CodePoint. Runes can represent any code point regardless of how many times it appears. For instance, the rule literal a is number 97 in reality.

47) Explain how to use custom packages in GO language?

You can code like this if you're creating a separate go get -table project for your library and if it's for internal use only:

• Put the library files under the directory of your project
• Refer to the path of the library relative to the root of your workspace

For example-

src/
myproject/
mylib/
mylib.go
. . .
main.go

Now, in main.go you could import myprojec/mylib.

48) Explain GO Interfaces?

GO interfaces specify the behavior of objects. Interfaces are created by using the "type" word, followed by a name, and the keyword interface. Interfaces consist of two things.

• A collection of methods
• Also, it is referred to as type.

49) Explain how arrays in GO works differently than C?

Array works differently in GO than it does in C

• In GO, arrays are values and assigning one array to another copies all the elements.
• Passing an array to a function will result in receiving a copy of the array, not a pointer.
• An array's size is part of its type. There is a difference between [10] int and [20] int.

50) Explain what Type Assertion is used for and how it does it.

In GO, type conversion is used to convert dissimilar types. Type assertions take an interface property and retrieve a value of the specified explicit type from it.