LangGraph for Agentic Workflows
Master LangGraph, the leading framework for building stateful, multi-step agent workflows. Create production-ready agentic applications with cycles, branching, and persistence.
Prerequisites
- Experience with LangChain basics
- Python proficiency including async programming
- Understanding of graph-based workflows
Who Should Attend
- AI/ML Engineers
- Software Developers building AI products
- Technical Leads evaluating agent frameworks
- Mid-level engineers expanding their skill set
Course Outline
- 1LangGraph fundamentals: nodes, edges, and state
- 2Building stateful agent graphs with checkpoints
- 3Conditional branching and dynamic routing
- 4Human-in-the-loop patterns with LangGraph
- 5Persistence and state recovery strategies
- 6Streaming outputs and real-time agent feedback
- 7Subgraphs and modular agent composition
- 8Production deployment with LangGraph Platform
Learning Outcomes
- Build complex agent workflows using LangGraph
- Implement stateful agents with persistence
- Design conditional logic and branching in agent flows
- Add human oversight to critical agent decisions
- Deploy LangGraph applications to production
- Debug and optimize graph-based agent systems
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Ready to Get Started?
Contact us to schedule training for your team or inquire about upcoming sessions.