1 - Course Introduction

1 - Course Introduction

With some of the videos in the chapter, particularly with those that explain concepts step-by-step by building up a diagram or through animations, a screen is helpful, and in some cases a computer screen rather than a mobile phone will really help too. Other videos are more for listening podcast-style (in the car or on your commute for instance), with visual aids that help, but are not essential.

We'll introduce videos here, but also give hints on where we think the screen is really helpful for understanding, and also say which videos are ok 'just to listen'. Feedback from many was that a listen-only for some lessons would be useful for the car or the commute, so we took that on board.

This is one of those videos you can just listen to.

Introduction To AI

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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