Learn / AI Engineer
🤖AI Engineer Track

From foundations to LLM systems in production. RAG, agents, evaluation, cost, and safety.

  • Anthropic
  • OpenAI
  • Cohere
  • Google DeepMind

The five stages

  1. 1

    Foundation

    In progress

    Plain-English mental models — what an LLM is, how embeddings work, why RAG exists. Five concept pages, no code.

    8 items1.5 hrs
    0 of 8 completed
  2. 🔒

    Core Skills

    Submit boss to unlock

    Chunking, retrieval, RAG fundamentals, token efficiency. Concept pages plus medium-difficulty problems.

    8 items2.5 hrs
    Submit the Stage 1 boss to unlock
  3. 🔒

    Applied Practice

    Submit boss to unlock

    RAG eval, agent architecture, cost optimisation, caching. Medium problems plus a blurred Pro concept tease.

    6 items3.5 hrs
    Submit the Stage 2 boss to unlock
  4. 🔒

    Interview Ready

    Submit boss to unlock

    Fine-tuning vs RAG, multi-modal, monitoring, guardrails. Hard problems with golden-answer comparison.

    5 items4.5 hrs
    Submit the Stage 3 boss to unlock
  5. 🔒

    Final Prep + Certificate

    Pro

    Company-tagged problems only. Required 15-minute simulator capstone. Completion generates a shareable certificate.

    4 items3.5 hrs
    Unlock with Pro