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Building Multi-Agent AI Systems with LangGraph - Lesson 18

Code With Aarohi via YouTube

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Overview

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Learn to build a Multi-Agent AI System using LangGraph in this 35-minute tutorial video that demonstrates how specialized agents collaborate and communicate effectively. Master the implementation of five distinct agents - Reception for task routing, Research for general inquiries, Math for calculations, Billing for payment queries, and Support for customer assistance. Discover the benefits of multi-agent systems, agent-to-agent communication protocols, system architecture for scalability, and dynamic decision-making implementation with LangGraph. Gain practical knowledge through a hands-on demonstration using provided GitHub code examples to create sophisticated AI applications including chatbots, automation tools, and decision-making systems. Develop the skills to design and deploy your own multi-agent workflows that leverage specialized AI capabilities for enhanced performance and efficiency.

Syllabus

L-18 How to Use Multiple Agents in LangGraph

Taught by

Code With Aarohi

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