Course Overview
LangGraph is a framework for building stateful, multi-agent applications with large language models. This course teaches you how to use LangGraph with Claude to build robust, controllable agent workflows.
In this course, you will learn how to model AI workflows as graphs, manage state across multi-step processes, and orchestrate multiple Claude-powered agents working together.
Through hands-on labs, participants will build LangGraph applications featuring conditional branching, human-in-the-loop checkpoints, and multi-agent collaboration using Claude.
By the end of this course, learners will be able to design and deploy production-ready, stateful multi-agent systems using LangGraph and Claude.
Course Distinction
What makes our course unique?
Unlock the Future of Multi-Agent AI Systems
Master LangGraph to build stateful, controllable multi-agent workflows powered by Claude.
Expert-Led LangGraph Training
Learn from AI engineers with hands-on experience building LangGraph applications using Claude.
Hands-On Graph-Based Workflow Building
Build real LangGraph applications and multi-agent systems through guided labs.
Practical Enterprise Use Cases
Learn how LangGraph and Claude are used for complex workflow automation, research agents, and orchestration.
Course Content
- What is LangGraph and why use it with Claude
- Graph-based vs linear chain architectures
- Setting up LangGraph with the Claude API
- Core concepts: nodes, edges, and state
- Designing state schemas
- Managing state transitions
- Conditional edges and branching logic
- Looping and iterative workflows
- Designing multi-agent architectures
- Agent-to-agent communication
- Coordinating multiple Claude agents
- Supervisor and worker agent patterns
- Adding human approval checkpoints
- Interrupts and resumable workflows
- Error handling and recovery
- Debugging LangGraph applications
- Persistence and checkpointing
- Streaming intermediate agent outputs
- Tool use within LangGraph nodes
- Long-running and asynchronous workflows
- Deployment strategies for LangGraph apps
- Monitoring multi-agent systems
- Performance and cost optimization
- Production best practices
Capstone Project
Design, build, and deploy a stateful multi-agent system using LangGraph and Claude that solves a real, multi-step business workflow.
Key Features
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Instructor-led interactive LangGraph sessions -
Real-world multi-agent case studies -
Hands-on graph-based workflow labs -
Industry-recognized certification -
Access to LangGraph development resources -
Capstone multi-agent project
Skills Covered
- LangGraph Framework Fundamentals
- Multi-Agent System Design
- Stateful Workflow Orchestration
- Claude API Integration
- Human-in-the-Loop Design
- Conditional Logic & Branching
- Agent Debugging & Monitoring
- Production Deployment
Advancements
Business Impact
FAQ?
Customized Corporate LangGraph Training
We also provide corporate training programs tailored for teams building multi-agent systems with LangGraph and Claude.
✔ Custom curriculum for your workflows
✔ Team onboarding to LangGraph development
✔ Flexible training delivery
✔ Enterprise consulting support
Who Should Attend
AI/ML Engineers
Software Developers
AI Automation Engineers
Solutions Architects
Data Scientists
Technical Product Teams
Master Claude with LangGraph
Become a specialist in building stateful, multi-agent AI systems using Claude and LangGraph.
✔ Learn from industry experts
✔ Work on real multi-agent projects
✔ Earn certification
Testimonial
What people are say?

















