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
12- Part 2 : Red Teaming, Regulation and the AI opportunity
12- Part 2 : Red Teaming, Regulation and the AI opportunity
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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