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Agentic AI with LangChain & LangGraph

Agentic AI with LangChain & LangGraph

Build stateful, multi-step AI agents with LangChain and LangGraph state machines.

For: Python developers ready to move beyond chatbots into full agent systems

4.9 · 820 learners · Intermediate ·Starting 12 Jul 2026

Batch Schedule

Available Batches
Batch Type Schedule Duration Next Start Date Availability
Weekend Sat & Sun, 10am–1pm 9 weeks 12 Jul 2026 Available

Course Curriculum

4 modules · 80 hours · 32 live sessions

LangChain Core 8 sessions
  • Chains
  • Tool use
  • RAG pipelines
  • Memory
  • LangSmith tracing
Building AI Agents 8 sessions
  • ReAct agents
  • Function calling
  • Error handling
  • Agent memory
LangGraph State Machines 10 sessions
  • Graph nodes & edges
  • Conditional routing
  • Parallel execution
  • Checkpointing
Multi-Agent Systems 6 sessions
  • Supervisor agents
  • Agent-to-agent comms
  • FastAPI serving
  • Production monitoring

Tools You'll Learn

Python LangChain LangGraph OpenAI Anthropic Claude ChromaDB Tavily

Frequently Asked Questions

Does this cover LangChain v0.3?

Yes — we use LangChain v0.3+ and LangGraph throughout.

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