49 concepts · 10 modules
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LangGraph Agents
Build production AI agents with LangGraph — tools, memory, human-in-the-loop, streaming, multi-agent systems, and deployment.
Start Module 01Curriculum
A structured path through the course content.
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Module 01 6 concepts
Start here
LangGraph Foundations
Core concepts — graphs, nodes, edges, and state management.
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Module 02 8 concepts
Tools & Models
Integrating LLMs and tools into LangGraph agents.
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Module 03 4 concepts
Building Your First Agent
Step-by-step guide to creating a functional agent.
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Module 04 5 concepts
Memory & Persistence
State persistence, checkpointing, and memory patterns.
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Module 05 4 concepts
Human-in-the-Loop
Approval flows, interrupts, and human oversight.
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Module 06 4 concepts
Streaming
Token streaming, event streaming, and real-time output.
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Module 07 4 concepts
Multi-Agent Systems
Supervisor patterns, agent teams, and coordination.
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Module 08 4 concepts
Observability
Tracing, debugging, and monitoring agent execution.
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Module 09 7 concepts
Deployment
LangGraph Cloud, Docker, and production deployment.
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Module 10 3 concepts
Practical Projects
End-to-end projects and real-world examples.