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Course Overview:
This project-based course shows you how to use Python to create a range of artificial intelligences from scratch. It is designed to be a comprehensive experience that takes you from novice to expert, emphasizing the development of your AI intuition above a barrage of complex mathematical theory. Deep learning, reinforcement learning and the most recent LLM techniques are just a few of the many contemporary and traditional AI principles that are covered in the program. Building many AI, such as one that can drive itself and one that can beat games will provide you with practical experience that can be applied to any setting.
Topics Covered:
- Core AI Concepts: Understanding the fundamentals of Artificial Intelligence, including the theory and intuition behind it.
- Reinforcement Learning: Mastering Q-Learning, Deep Q-Learning, Deep Convolutional Q-Learning and A3C to build AIs that can learn and optimize their behavior.
- Neural Networks: A deep dive into artificial neural networks, including convolutional and recurrent networks.
- Real-World Applications: Building tangible projects like a virtual self-driving car and an AI to beat games.
- Advanced Models: Learning about the state-of-the-art AI models, including LLMs, Transformers and fine-tuning techniques.
- Python Programming: Using Python as the primary language to code and implement all the AI models from scratch, with downloadable templates provided for convenience.
Who Would Benefit:
- Beginners: Individuals with some basic high school math and Python skills who want to learn how to build AI from the ground up.
- Aspiring AI Developers: Anyone looking for a project-oriented approach to building a strong portfolio of AI applications.
- Students: Those who want to gain a practical understanding of AI without being overwhelmed by theoretical mathematics.
- Hobbyists: Individuals interested in building fun and challenging AI projects like game-playing agents and autonomous systems.
Why Take This Course:
This practical approach guarantees that you develop a strong understanding for AI and comprehend not just what you are doing but also why it works. This course offers a comprehensive toolkit for creating a wide range of AI systems because it covers both fundamental and advanced concepts, from reinforcement learning to contemporary LLMs. This program is extremely accessible and focused on outcomes, as seen by the availability of downloadable code templates and committed instructor support. This is the course for you if you want to go from a passive learner to an active AI creator with a portfolio to support your portfolio.
