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A sequenced path · math included

Learn AI from the math
up to agents.

12 phases that build on each other, from vectors and probability to transformers, RAG and agentic systems. Every lesson pairs derivations with videos, practice and a quick self-test.

Start: 0.1 How to use this path (and how to actually learn) Plan my weeks
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The whole path
116 lessons · 25 live demos · 112 papers
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Your roadmap

Each phase builds on the previous ones · open a phase to see its lessons
  1. Start Here
    0/35 h
    How this path works, the map of the field, and your lab setup
  2. Mathematical Foundations
    0/1031 h
    Linear algebra, calculus, probability, information and optimization — the pillars every model stands on
  3. Programming & Tooling for ML
    0/515 h
    The minimum stack that lets you run every idea in this path
  4. Classical Machine Learning
    0/1444 h
    Learning from data, with the math that tells you when it works
  5. Deep Learning Foundations
    0/1235 h
    Stack dot products and nonlinearities, then learn every weight with the chain rule
  6. Computer Vision & CNNs
    0/1030 h
    Teaching machines to see — and the architecture ideas that shaped all of deep learning
  7. Sequences & NLP: the road to attention
    0/825 h
    From tokens and n-grams to recurrent networks and the first attention
  8. Transformers
    0/1236 h
    One architecture, derived line by line, from attention to frontier-scale inference
  9. LLMs & Generative AI
    0/1345 h
    How frontier models are built, aligned, prompted, sampled, evaluated and understood
  10. RAG & LLM Application Engineering
    0/1142 h
    Ground models in your data and ship LLM apps that hold up in production
  11. Agentic AI
    0/1239 h
    Models that act: tools, memory, planning, protocols, evaluation and safety
  12. Research, Projects & Career
    0/619 h
    Read the papers, ship the projects, steer the career
Three passes per lessonWatch for intuition, read for the math, practice in code.
An AI tutor on every lessonOne-click prompts that explain, derive, quiz or set exercises.
Remembers for youSpaced-repetition flashcards, quiz scores and notes.