Multi-Agents with LangChain & LangGraph: Build 4 Projects

About this course

Welcome to the frontier of AI orchestration. Modern AI development is moving away from simple, single-agent systems toward Multi-Agent Systems (MAS)—complex networks of specialized agents that collaborate to solve sophisticated problems. This project-based course is designed to take you from a cool one-shot agent demos to building autonomous Agentic teams that solve real-world problems.

We begin by deconstructing the theory. You will gain a deep architectural understanding of Multi-Agent Systems, exploring how agents communicate, share state, and make decisions. We don't just show you code; we dive into the four essential Multi-Agent Design Patterns in LangChain, ensuring you understand the "why" behind every architecture.

The core of this course is hands-on. You will build four distinct, real-world projects that implement these patterns. From a Smart Travel Planner using the Sub-Agents Pattern to a Job Application Pipeline utilizing the Handoff Pattern, you will learn how to manage state, handle cycles, and implement human-in-the-loop interactions using LangChain & LangGraph.

By the end of this course, you won't just know how to use LangChain; you will have a portfolio of advanced Multi-Agent projects and the skills to architect bespoke AI solutions for any industry. Whether you are automating business processes or building the next generation of AI assistants, this course is a perfect fit for you.

See you in class.

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