Opleiding: Multi Agents with LangChain and LangGraph
The course Multi Agents with LangGraph from SpiralTrain teaches you how to design and build sophisticated multi-agent AI systems using LangGraph.
Introduction LangGraph
The course Multi Agents with LangGraph begins with a comprehensive introduction to LangGraph, exploring how it differs from traditional agent frameworks. Graph-based architectures, StateGraph concepts, nodes, edges, and conditional routing are discussed.
Graph Fundamentals
This module covers essential graph theory concepts including directed graphs, state machines, and different node and edge types. Participants learn about entry points, conditional edges, cyclic graphs, and techniques for graph compilation and visualization.
State Management
State management in LangGraph is explored in depth, covering state schema definition using TypedDict, state updates, reducers, and immutability. The module addresses checkpointing, state persistence, restoration, and debugging techniques.
Building Agents
Here participants learn to build agent nodes with tool-calling capabilities using the ReAct pattern. Topics include custom agent logic, agent state management, error handling, monitoring, testing, and established best practices for robust agent development.
