Foundations of Multi-Agent Systems and A2A Protocol

As artificial intelligence evolves, single-agent solutions are quickly being replaced by collaborative multi-agent systems. Understanding how these distinct models communicate and coordinate is essential for modern AI engineering. This course teaches you the fundamentals of designing, configuring, and connecting fleets of autonomous agents. You will explore the Agent2Agent (A2A) protocol and learn how to structure collaborative workflows where multiple AI entities share context, delegate tasks, and solve complex problems together through written, step-by-step guidance. What you'll learn: • Understand the core concepts of multi-agent architectures and autonomous AI behavior • Apply the Agent2Agent (A2A) protocol to establish reliable communication between agents • Design collaborative workflows where agents delegate tasks and exchange data efficiently • Implement basic Retrieval-Augmented Generation (RAG) patterns to manage shared knowledge across agent fleets • Practice modern prompt engineering techniques tailored specifically for inter-agent communication. The curriculum begins with foundational AI terminology and basic agent concepts before moving into practical, text-based exercises on A2A protocol implementation and fleet management. Designed specifically for beginners, this program requires no prior experience with multi-agent systems or advanced machine learning, making it accessible to anyone interested in the future of AI architectures. Start reading today to build your understanding of collaborative AI agent networks.