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Skill level

Advanced courses

Advanced means you're already in production. RAG works, an agent works, you've hit the weird bugs. What you need now are the patterns that keep a system reliable at scale: evaluation harnesses that catch regressions, multi-agent architectures that actually converge, hybrid search that beats cosine similarity, and observability that points you at the failing step in a trace.

Curated by Param Harrison

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Courses at this level skip introductions. They open with a problem you'll recognize and close with a technique you'll use.

Showing 22 of 22 courses

Common questions

Advanced: quick answers

  • Who is the advanced track for?

    Engineers who’ve already shipped RAG, agents, or a production backend and want the next tier. You should be comfortable with Python’s advanced features, have strong API sense, and know what you’re looking to improve.

  • How technical does it get?

    Very. Expect references to specific algorithms (reciprocal rank fusion, LLM-as-judge eval), specific library internals (LangGraph checkpointing), and production war stories. Not a place to start.

  • Do advanced courses stack with each other?

    Yes. The Agentic RAG Masterclass pairs well with Hybrid Search Qdrant. LangGraph Multi-Agent Workflows pairs with AutoGen Multi-Agent Systems. Pick the pair that maps to your production use case.