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Generative AI Tutorial

Understand Generative AI from the very first idea to building real applications. No coding or maths background needed: every concept is explained with simple words and animated visuals, using real examples and real model outputs.

📚 77 lessons▶ 2:45:28+ of video💻 12 code examples🖼 128 screenshots
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The complete Generative AI course, free on YouTubeWatch on YouTube ↗

What you will learn

  • What generative AI is, and how AI, machine learning and deep learning fit together
  • How machines learn: neural networks, loss, gradient descent and backpropagation
  • How language models work: tokens, embeddings, attention and the transformer
  • Pre-training, instruction tuning, RLHF, sampling, temperature, context windows
  • Prompt engineering: zero-shot, few-shot, chain of thought, structured output
  • Hallucinations, evaluation, and everyday and professional uses
  • Building with APIs: chatbots, structured outputs, cost and streaming
  • Embeddings, vector search and RAG, tool use, agents and MCP
  • Image, audio, video and multimodal AI: diffusion, GANs, VAEs
  • Fine-tuning with LoRA, quantization and running models locally
  • Responsible AI: bias, deepfakes, prompt injection, privacy, copyright, regulation
  • Real-world uses, hands-on workshops, quizzes and a full cheat sheet

Course contents

Every lesson has its own page with the explanation, code you can copy, the real output, screenshots from the video, and a link that jumps straight to that moment in the video.

3. Data, Generalisation and Foundation Models

  1. Data Is Everything19:34
  2. Overfitting and Generalisation22:10
  3. Foundation Models24:12

4. Tokens, Embeddings and Context

  1. Tokens26:21
  2. Embeddings28:32
  3. Position and Context30:38

5. Attention and the Transformer

  1. Attention32:46
  2. The Transformer35:32
  3. Pre-training at Scale38:05

7. Context, Models and Reasoning

  1. The Context Window46:44
  2. The Model Landscape48:47
  3. Reasoning Models50:58

8. The Art of Prompting

  1. Prompting Basics52:40
  2. Prompting Techniques55:31
  3. Prompt Patterns57:48
  4. Prompt Workshop1:00:22

9. Trust, Verify and Use AI Well

  1. Hallucinations1:02:55
  2. Evaluating Outputs1:04:56
  3. AI in Everyday Life1:07:00
  4. AI at Work1:09:20

13. How AI Creates Images

  1. How Diffusion Works1:36:47
  2. Text to Image1:39:19
  3. GANs and VAEs1:41:18
  4. Image Prompting and Control1:43:23

14. Voice, Music, Video and Multimodal AI

  1. Speech and Voice1:45:50
  2. Music and Sound1:47:58
  3. AI Video1:49:57
  4. Multimodal Models1:51:52

17. The Future and Your Path

  1. AI and the Future of Work2:10:18
  2. Where AI Is Heading2:12:17
  3. Your Roadmap2:14:22

18. Generative AI in the Real World

  1. Health and Education2:16:43
  2. Business Uses2:18:54
  3. Creative and Scientific Work2:21:21

20. Under the Hood

  1. Under the Hood2:30:02
  2. Mixture of Experts and Efficiency2:32:54

22. Myths, Glossary and Cheat Sheet

  1. Myths, Glossary and Cheat Sheet2:55:49

23. Evaluating and Running Real Models

  1. Evaluating Language Models2:34:46
  2. Running a Real Model in Code2:36:53
  3. The Open-Source Ecosystem2:39:17

24. A Sentence Through the Machine

  1. Follow One Sentence Through a Transformer2:40:59
  2. Choosing AI Tools2:43:32

25. Ten Mini Projects

  1. Ten Mini Projects2:45:28

Useful links