Introduction To AI
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Sep 17
1: Introduction
Chapter 1 - Course Introduction
1 - Course Introduction
2. What is AI?
Chapter 2 - What Is AI?
2 - Part 1 : What is AI?
2 - Part 2 : How To Test For AI
2 - Part 3 : Ok, So What is AI?
3. Why Now?
Chapter 3 - Why Now?
3 - Part 1 : Why Now? - Introduction
3 - Part 2 : Advances In AI
3 - Part 3 : Further Reasons
4. AI for playing Games
Chapter 4 - AI for Playing Games
4 - Part 1 : AI for Games - Introduction
4 - Part 2 : Introducing Game Trees
4 - Part 3 : Playing an Opponent
4 - Part 4 : Getting smarter with search
4 - Part 5 : Self-Play and MonteCarlo Search
5. Natural Language Processing
Chapter 5 - Natural Language Processing (NLP)
5 - Part 1 : NLP - Introduction
5 - Part 2 : Representing Words and your first Machine Learning algorithm
5 - Part 3 : What are Embeddings?
5 - Part 4 : Generating Text
6. Neural Networks
Chapter 6 - Neural Networks
6 - Part 1 : Introduction and Perceptrons
6 - Part 2 : Training a Perceptron
6 - Part 3 : Linking Neurons - Building Larger Networks
6 - Part 4: Long Short-Term Memory Networks
7. Reinforcement Learning
Chapter 7 - Reinforcement Learning
7 - Part 1 : Reinforcement Learning - Introduction
7 - Part 2 : Q-Learning - Escaping Mazes!
7 - Part 3 : Beyond Mazes
8. Large Language Models and ChatGPT
Chapter 8 - Large Language Models and ChatGPT
8 - Part 1 : Introduction and Transformer Model Encoders
8 - Part 2 : Decoders and Large Language Models
9. Getting more out of Large Language Models and AI applications
Chapter 9 - Getting more out of LLMs: Grounding, Tools, Agents, and Prompting strategies
9 - Part 1 : Getting more out of LLMs
9 - Part 2 : Demystifying LLM tooling, RAG, MCP, and Agents
10. Computer Vision and Image Generation
Chapter 10 - Computer Vision and Image Generation
10 - Part 1 : How AI understands images
10 - Part 2 : Learning Image Features
10 - Part 3 : How to generate images and videos
11. A World with AI - AI in Society and Business
Chapter 11 - A world with AI: AI in Society and Business
11 - Part 1 : A world with AI - Introduction
11- Part 2 : AI in business in context
11 - Part 3 : Role Evolution and Business Adoption
12. AI Risks and Regulation
Chapter 12 - Risks and Regulation.pdf
12 - Part 1 : Framing the risks
12- Part 2 : Red Teaming, Regulation and the AI opportunity
13. Course Summary
Course Summary
Course Summary
Products
Course
Section
Lesson
Course Summary
Course Summary
Introduction To AI
Buy now
Learn more
Discussions
Sep 17
1: Introduction
Chapter 1 - Course Introduction
1 - Course Introduction
2. What is AI?
Chapter 2 - What Is AI?
2 - Part 1 : What is AI?
2 - Part 2 : How To Test For AI
2 - Part 3 : Ok, So What is AI?
3. Why Now?
Chapter 3 - Why Now?
3 - Part 1 : Why Now? - Introduction
3 - Part 2 : Advances In AI
3 - Part 3 : Further Reasons
4. AI for playing Games
Chapter 4 - AI for Playing Games
4 - Part 1 : AI for Games - Introduction
4 - Part 2 : Introducing Game Trees
4 - Part 3 : Playing an Opponent
4 - Part 4 : Getting smarter with search
4 - Part 5 : Self-Play and MonteCarlo Search
5. Natural Language Processing
Chapter 5 - Natural Language Processing (NLP)
5 - Part 1 : NLP - Introduction
5 - Part 2 : Representing Words and your first Machine Learning algorithm
5 - Part 3 : What are Embeddings?
5 - Part 4 : Generating Text
6. Neural Networks
Chapter 6 - Neural Networks
6 - Part 1 : Introduction and Perceptrons
6 - Part 2 : Training a Perceptron
6 - Part 3 : Linking Neurons - Building Larger Networks
6 - Part 4: Long Short-Term Memory Networks
7. Reinforcement Learning
Chapter 7 - Reinforcement Learning
7 - Part 1 : Reinforcement Learning - Introduction
7 - Part 2 : Q-Learning - Escaping Mazes!
7 - Part 3 : Beyond Mazes
8. Large Language Models and ChatGPT
Chapter 8 - Large Language Models and ChatGPT
8 - Part 1 : Introduction and Transformer Model Encoders
8 - Part 2 : Decoders and Large Language Models
9. Getting more out of Large Language Models and AI applications
Chapter 9 - Getting more out of LLMs: Grounding, Tools, Agents, and Prompting strategies
9 - Part 1 : Getting more out of LLMs
9 - Part 2 : Demystifying LLM tooling, RAG, MCP, and Agents
10. Computer Vision and Image Generation
Chapter 10 - Computer Vision and Image Generation
10 - Part 1 : How AI understands images
10 - Part 2 : Learning Image Features
10 - Part 3 : How to generate images and videos
11. A World with AI - AI in Society and Business
Chapter 11 - A world with AI: AI in Society and Business
11 - Part 1 : A world with AI - Introduction
11- Part 2 : AI in business in context
11 - Part 3 : Role Evolution and Business Adoption
12. AI Risks and Regulation
Chapter 12 - Risks and Regulation.pdf
12 - Part 1 : Framing the risks
12- Part 2 : Red Teaming, Regulation and the AI opportunity
13. Course Summary
Course Summary
Course Summary
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