AutoGen Studio Foundations: Building Multi-Agent AI Systems

Modern artificial intelligence is shifting from single prompts to collaborative multi-agent systems capable of solving complex tasks autonomously. This written course introduces you to the core principles of multi-agent frameworks and guides you through building functional AI workflows with AutoGen Studio. You will start by mastering foundational concepts and key terminology, including agent roles, system messages, and message-passing mechanisms. Through clear written explanations and text-based code examples, you will learn how to configure custom agents, orchestrate dynamic conversations, and incorporate modern agentic patterns such as tool integration and data retrieval. What you will learn: Understand essential terminology and architectural patterns behind multi-agent frameworks; Navigate and setup AutoGen Studio for multi-agent workflow automation; Define custom agent roles, instructions, and capability parameters; Orchestrate multi-agent conversations to break down and solve multi-step problems; Integrate custom execution tools and retrieval-augmented generation patterns into agent workflows; Apply optimization and agent safety best practices through structured written exercises. The course begins with basic definitions and conceptual models before progressing to step-by-step configuration guides, tool integration, and advanced agent orchestration strategies. This course is ideal for beginners, developers, and technology enthusiasts who want to explore autonomous AI systems without needing prior experience in multi-agent programming. Start reading today to build your understanding of autonomous AI agents.