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This course is all about learning AI-powered software development to run Claude Code like a tech lead. This course starts by explaining in detail the architecture for AI-first development. It briefs you about designing codebases and workflows and helps you maximise AI productivity. This course covers all topics from building production systems with AI labour economics to ways to understand how to leverage Claude Code’s speed.
Topics Covered:
- Software Engineering: See how software engineering is scaled up with Claude Code and learn how big prompts help in improving the productivity of software engineering.
- Leveraging Advantages: Learn how to leverage the advantages of software engineering and see how you can build multiple versions of a feature in Claude Code.
- Generative AI: Understand in detail what Generative AI is and come to know if AI can recognise the code quality in Claude Code.
- Context And Process: Learn how to build process and context in Claude Code and come across a few necessary Claude Code commands.
- Version Control: Understand what version control is and how you can obtain parallel development with Claude Code and GitHub.
Who Will Benefit?
- Software Engineers And Developers: Individuals who want to improve their productivity by learning all necessary versions of Claude Code features.
- AI Learning Practitioners: All those who want to learn in detail about AI prompts and AI prompt engineering and quality assessment within the Claude Code.
- Computer Science Students: All those who want to gain basic knowledge about AI-driven software and learn in detail about its tools and multiple versions of its features.
Why Choose This Course?
As you choose this course, you will learn how to design codebases and efficiently integrate the workflows. This course benefits you by teaching you several processes that maximise AI productivity and help you understand the role of Claude Code in the field of web development. You will also learn how to leverage Claude Code’s speed and cost advantages for the purpose of prototyping. By the end of this course, you will have hands-on experience in test automation, artificial intelligence, software architecture, software design and prompt engineering.
