Learning path

AI Engineer

Build with language models.

The conceptual foundations behind modern AI systems: tokenisation, embeddings, attention, transformers, training, scaling, prompting, and agents. Plus the Python and data structures that underpin them.

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0 / 62 levels
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Roadmap

  1. Foundations
    Everyday engineering basics.
    0 / 9
  2. Programming
    The shape of code — language-agnostic fundamentals.
    0 / 9
  3. Python
    From hello-world to comprehensions and decorators.
    0 / 9
  4. AI Systems
    How language models actually work.
    0 / 12
  5. Data Types
    Numbers, collections, nulls, strings — what the bits actually mean.
    0 / 9
  6. Algorithms
    Sorting, searching, traversing — watch them unfold.
    0 / 14