Artificial Intelligence took a major leap with the rise of Large Language Models like ChatGPT. However, building truly intelligent AI systems goes far beyond having a conversation with an AI assistant such as ChatGPT. Modern AI applications rely on multiple autonomous AI agents that require shared context, coordination, and collaboration.
This is where Model Context Protocol (MCP) and Agent to Agent Protocol (A2A) become essential. Model Context Protocol enables AI agents to access structured, real-time context from external tools, services, and data sources, ensuring decisions are made with accurate and relevant information. Agent to Agent Protocol focuses on how multiple AI agents communicate, delegate tasks, and work together as a coordinated system rather than operating in isolation.
In this course, you will learn how MCP and A2A are used together to design smarter, interoperable AI systems. You will explore how these protocols fit into modern AI architectures and how they enable scalable multi-agent workflows built on top of Large Language Models.
