AI

Artificial Intelligence — AI Foundations

Understand how artificial intelligence really works — from agents and search to machine learning, neural networks and the generative AI behind tools like ChatGPT — with small, hands-on Python examples.

27 lessons6 chaptersStart: What is AI? →

1AI Foundations

What is AI?25 min Types & Fields of AI25 min How AI Learns: Rules vs Data30 min AI vs Machine Learning vs Deep Learning25 min

2Agents & Search

Intelligent Agents30 min Problem Solving as Search35 min Search Algorithms: BFS & DFS40 min Smarter Search: Heuristics & A*35 min Game-Playing AI: Minimax40 min

3Knowledge & Reasoning

Knowledge & Reasoning (Expert Systems)35 min

4Machine Learning for AI

Machine Learning: The Engine of Modern AI30 min Reinforcement Learning: Learning by Reward35 min Build Your First AI Model45 min Neural Networks Explained Simply40 min Deep Learning in the Real World30 min Computer Vision: Teaching Machines to See40 min

5Language & Generative AI

Natural Language Processing: Turning Text into Numbers40 min How LLMs Really Work: Tokens, Context & Hallucinations40 min Practical Prompt Engineering40 min Retrieval-Augmented Generation (RAG): Grounding AI on Your Data35 min AI Agents: LLMs That Use Tools and Take Steps35 min Using Real AI Tools & Judging Their Output35 min

6Modern & Responsible AI

Generative AI & Large Language Models35 min Responsible AI: Bias, Privacy & Safety30 min AI for Work: Spotting Use Cases & Running a Project35 min Responsible AI Deep Dive: Explainability, Copyright & Deepfakes35 min Project: Build a Smart Assistant150 min