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datarekha

AI Engineer

Build AI products from first principles — neural nets, transformers, LLMs, RAG and agents, all the way to shipping them in production.

16–22 weeks Intermediate → Advanced 349 lessons
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Curriculum

  1. 1

    Python

    41 lessons

    From syntax to production AI apps — the language for everything.

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  2. 2

    Machine Learning

    39 lessons

    Trees beat neural nets on most tabular problems — and other truths.

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  3. 3

    Deep Learning

    39 lessons

    Neural networks from scratch — the core, no fluff.

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  4. 4

    NLP & Transformers

    44 lessons

    From text features to the transformer — language modeling end to end.

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  5. 5

    Generative AI

    73 lessons

    LLMs in practice — RAG, evals, fine-tuning, self-hosting.

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  6. 6

    Agentic AI

    78 lessons

    Build agents on the LLM — patterns, tools, MCP, multi-agent, production.

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  7. 7

    MLOps & deployment

    35 lessons

    Ship models, not notebooks.

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