LangGraph — Build Multi-Agent Workflows
Taught by Satheesh Challa
+₹270 GST (18%) · Total ₹1,770
Self-paced · Full lifetime access
Prefer unlimited access?All-Access Pass from ₹15,000/ all-access passView planWhat you'll learn
- Understand how LangGraph's graph-based orchestration fits into the broader GenAI ecosystem
- Build a LangGraph workflow using state machines, nodes, and edges
- Structure and validate workflow state with Pydantic models
- Implement conditional routing, tool calling, and streaming responses
- Add short-term and long-term memory using checkpointers (in-memory, SQLite, Redis)
- Build agentic RAG workflows combining tools and retrievers
- Design human-in-the-loop workflows using interrupt/resume patterns
- Architect multi-agent, cyclic graph systems for production workloads
- Package and deploy LangGraph agents with FastAPI, Docker, and LangSmith observability
Course Content
6 topics · 21 lessons · 4h 42 min total
- Where LangGraph Fits in the GenAI EcosystemPreview10 min
- Core Mechanics: State, Nodes, and Edges15 min
- Building Your First LangGraph Workflow16 min
- Structuring State with Pydantic12 min
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