Building AI Agents with LangGraph
Engineer stateful, production-grade LLM agents with LangGraph — memory, workflows and multi-agent systems.
Course Topics
This is a snapshot of what's covered. Contact us for the complete module-by-module curriculum, batch schedule, and pricing.
Skills covered
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Corporate / Group Training- Live + recorded sessions with lifetime access
- Hands-on labs & real projects
- Certificate of completion
- Mobile learning & downloadable resources
- Instructor Q&A & discussion forums
About this course
A build-first, 24-session program that takes you from a two-node "hello world" graph to a production-grade, self-correcting agent. Cover graph fundamentals, typed state and reducers, checkpointer memory, the four canonical workflow patterns, multi-agent orchestration, LangSmith observability, evaluation, agentic RAG and deep-agent planning — with three capstones and human-in-the-loop deployment on LangGraph Platform.
What you'll learn
- Model any control flow as a StateGraph
- Design typed state and reducers
- Build tool-calling ReAct agents
- Add checkpointer and long-term memory
- Implement workflow patterns and multi-agent orchestration
- Instrument with LangSmith and ship a deployed deep agent
