Pick a track

The map shows the whole terrain and topics group it by subject. A track is the third view: a curated route to a specific goal, built on the same dependency graph so nothing lands before what it needs.

  1. AI Literacy 16 articles · ~17.5h

    PMs, managers, and the curious — no coding

    Understand what AI is, how it works, and where it fails — without writing a line of code.

  2. How AI Works 36 articles · ~46.3h

    Students and the theoretically minded

    Build a real mental model of a transformer, from a single neuron up to attention.

  3. LLM App Developer 24 articles · ~29.8h

    Full-stack and product developers

    Ship a product on top of the LLM API — prompting, evaluation, cost, and reliability.

  4. RAG Engineer 15 articles · ~22h

    Engineers building retrieval-augmented systems

    Master retrieval augmentation end to end, from a basic pipeline to graph and agentic RAG.

  5. Agent Engineer 16 articles · ~24h

    Engineers building tool-using agents

    Build agents that reason, call tools, and stay reliable across many steps.

  6. Applied ML 20 articles · ~27.8h

    ML engineers training and adapting models

    Fine-tune, align, compress, and understand the architectures behind modern models.

  7. AI Safety & Security 8 articles · ~10.8h

    Security and compliance engineers

    Defend AI systems: injection, jailbreaks, red-teaming, data handling, and governance.

  8. Production & Ops 10 articles · ~13.3h

    MLOps and platform engineers

    Run AI at scale: serving, observability, cost control, and safe iteration.