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    Generative AI engineering from notebooks to production.

    Course · Generative AI Engineering with PythonDuration · 12 weeksLevel · Intermediate — Advanced

    Twelve weeks building production-grade generative AI systems in Python: LLM orchestration, RAG pipelines, agent frameworks, evaluation, and deployment at scale.

    What you'll walk away with

    Outcomes by program end.

    • 01Build and deploy LLM-powered applications end-to-end
    • 02Production RAG pipelines with vector stores and evaluation
    • 03Multi-agent systems using LangGraph and custom frameworks
    • 04Cost optimisation, safety guardrails, and observability

    Week-by-week

    Syllabus in order.

    1. Week 1–2
      LLM foundations

      Transformer intuition, API patterns, prompt engineering.

    2. Week 3–4
      RAG pipelines

      Embeddings, vector stores, chunking, retrieval quality.

    3. Week 5–6
      Tool use & agents

      Function calling, agent loops, memory, multi-step reasoning.

    4. Week 7–8
      Evaluation & safety

      Eval harnesses, red-teaming, guardrails, PII handling.

    5. Week 9–10
      Production systems

      Streaming, caching, cost control, observability, deployment.

    6. Week 11–12
      Capstone

      Design, build, evaluate, and ship a production AI application.

    Next course

    Flutter →