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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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