This course will teach you how to create multi-agent AI-powered systems using AutoGen, a framework to build AI Agents and applications, and automate the management of LLM processes combined with other tools
As AI applications grow more complex, many developers struggle to move beyond simple, single-agent prompts into building scalable, interactive, multi-agent systems. In this course, Building Multi-agent Systems with AutoGen, you'll learn to design and implement intelligent multi-agent systems using AutoGen, an open-source framework that makes it easy for developers to set up and orchestrate multi-agent LLM processes. First, you'll explore fundamentals of an AI agent with AutoGen's AutoChat interface. Next, you'll discover how to implement multi-agent conversational workflows using AutoGen's GraphFlow protocol. Finally, you'll learn to build a fully autonomous, real-time weather forecasting system, where multiple agents collaborate to process user queries, access external APIs, and return well-structured weather information. When you're finished with this course, you'll have the skills and knowledge of multi-agent AI orchestration with AutoGen needed to build real-world automated AI systems that use LLMs, tools, and APIs to deliver smart end-to-end workflows.

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