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Building with Claude

Go from prompting fundamentals to a measured, production-ready Claude application.

Prompting first, because every API feature is a prompt with more structure around it. Then the Claude API itself, and finally LLMOps, so what you build can be evaluated, monitored and shipped safely.

3 courses · 16 lessons · 2h 15m

  1. Generative AI & Prompt Engineering Masterclass

    Master LLM prompting techniques, In-Context Learning, Chain-of-Thought, and RAG architectures.

    6 lessons · Beginner

    Open

  2. Building with Claude: The Claude API from First Call to Production

    Build reliable applications on the Claude API: content blocks and stop reasons, structured output, tool use, effort, caching, batches and production hardening.

    6 lessons · Intermediate

    Open

  3. LLM Evaluation & Production LLMOps

    Measure, monitor and safely ship language-model features with evaluation sets, calibrated graders, tracing and release gates.

    4 lessons · Intermediate

    Open

Nothing here is locked. If you already know the earlier material, start wherever you like — browse everything.