As AI systems become more sophisticated, leveraging multiple agents to collaborate, reason, and solve complex tasks is emerging as a powerful paradigm. Microsoft’s AutoGen framework simplifies the development of multi-agent AI applications by providing an extensible environment where LLM-powered agents can communicate, adapt, and automate workflows. This session explores the key features of AutoGen, its architecture, and how it enables dynamic interactions between agents for tasks such as code generation, decision-making, and autonomous problem-solving. Through real-world examples, we’ll demonstrate how to integrate AutoGen with Azure AI services and orchestrate agents to build intelligent, scalable solutions for enterprise applications.