Provider-agnostic by design Change one string to move your agent between OpenAI, Anthropic, Google, and the rest. Build it once. Ship it anywhere

Primitives, not glue RAG, memory, and tools come as first-class primitives in a single Python module — not three libraries glued together at midnight.

Production-shaped from day one Streaming, structured outputs, file handling, and error states are there from lesson one — not appendix material you'll discover the hard way.

About the course

Lyzr is the agent infrastructure layer behind production AI products at companies you've heard of and several you haven't yet. Lyzr Academy exists because the people using Lyzr in production asked us to teach the next batch of builders the same way we teach our own engineering team. What you learn here is exactly what we use to ship.

Built on Lyzr

Lyzr is the agent infrastructure layer behind production AI products at companies you've heard of and several you haven't yet. Lyzr Academy exists because the people using Lyzr in production asked us to teach the next batch of builders the same way we teach our own engineering team. What you learn here is exactly what we use to ship.

Curriculum

1 Chapter · 4 Lessons

  1. 1

    Knowledge and Memory

    1. (Included in full purchase)

      What is RAG

    2. (Included in full purchase)

      What is RAG Notes

    3. (Included in full purchase)

      Document ingestion

    4. (Included in full purchase)

      Document ingestion Notes

What people are saying

Discover the transformative impact of lyzr agents on your daily tasks. Embrace an AI-driven future with confidence.

”
I went from CrewAI plus LangChain plus a custom retriever to one import. Same agent. Half the code. Actually understandable when something broke.
Jessica L.

Las Vegas, NV

I stopped thinking about which library does what. Started thinking about what the agent should actually do.
Ashley T.

Working mom

”
Three weeks from 'we should look at agents' to a workflow agent in production. Streaming and structured outputs just working saved us an entire sprint."
Anna W.

Junior Software Engineer @ GoML

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