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Phase 7: Advanced AI

Explore the absolute cutting edge of artificial intelligence. You will build state-of-the-art Natural Language Processing (NLP) pipelines, computer vision systems, and autonomous generative AI engines that interact seamlessly with human input.

The curriculum is public. Reading these lessons requires access to the corresponding paid track. Compare access and pricing.

What will you learn?

Lessons and practice

  1. Lesson 1: LLMs — How Do They Work?
  2. Lesson 2: The Attention Mechanism — Why Transformers Are Different
  3. Lesson 3: Tokenisation & Embeddings — How LLMs See Text
  4. Natural Language Processing & Text Analysis Practice Questions
  5. Natural Language Processing - Interview Questions & Answers
  6. Natural Language Processing (NLP) Cheat Sheet
  7. PYTHON + AI TOOLS INTEGRATION: COMPLETE GUIDE
  8. Lesson 1: Computer Vision — Seeing the World
  9. Lesson 2: Advanced Computer Vision — YOLO, ViT & CLIP
  10. Computer Vision & Image Processing Practice
  11. Computer Vision & Image Processing Interview Preparation
  12. Computer Vision & Image Processing Cheatsheet
  13. Lesson 1: Transformers & Vision — Attention Is All You Need
  14. Vision Transformers and Modern Computer Vision - Practice Exercises
  15. Vision Transformers and Modern Computer Vision - Interview Preparation
  16. Vision Transformers and Modern Computer Vision - Quick Reference Cheatsheet
  17. Lesson 1: Reinforcement Learning — Learning by Trial and Error
  18. Reinforcement Learning & Decision Making Practice Questions
  19. Reinforcement Learning - Interview Questions & Answers
  20. Reinforcement Learning Cheat Sheet
  21. Lesson 1: Generative AI — Creating From Learned Patterns
  22. Generative AI & Creative Models: Practice Questions & Exercises
  23. Generative AI & Creative Models - Interview Questions & Answers
  24. Generative AI Cheat Sheet
  25. Lesson 1: RAG — Retrieval-Augmented Generation
  26. Lesson 2: Advanced RAG Architecture — Chunking, Vector DBs, Hybrid Search & Reranking
  27. RAG Practice Exercises
  28. RAG Interview Preparation
  29. RAG Cheatsheet
  30. Lesson 1: LLM Fine-Tuning — Teaching a Model New Tricks
  31. LLM Fine-tuning Practice Exercises
  32. LLM Fine-tuning Interview Preparation
  33. LLM Fine-tuning Cheatsheet
  34. Lesson 1: AI Agents — Autonomous Reasoning and Action
  35. Lesson 2: Multi-Agent Systems with LangGraph
  36. AI Agents Practice
  37. AI Agents Interview Preparation
  38. AI Agents Cheatsheet
  39. Lesson 1: Knowledge Graphs — Structured Intelligence
  40. Knowledge Graphs Practice
  41. Knowledge Graphs Interview Prep
  42. Knowledge Graphs Cheatsheet
  43. Lesson 1: Graph Machine Learning — Learning on Relational Data
  44. Graph Neural Networks Practice Exercises
  45. Graph Neural Networks Interview Preparation Guide
  46. Graph Neural Networks Quick Reference Cheatsheet
  47. Lesson 1: Advanced AI — Federated Learning, Edge AI, and AutoML
  48. Step 9: Advanced AI Topics & Specialized Areas - Practice Questions
  49. Advanced AI Specialized Interview Questions
  50. Advanced AI Specialized Topics - Complete Cheat Sheet
  51. Lesson 1: AI Ethics and Governance — Building Responsible AI
  52. AI Ethics & Governance - Practice
  53. AI Ethics & Governance - Interview Preparation
  54. AI Ethics & Governance - Cheatsheet

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