Mastering MCP: Building Advanced Agentic Applications

This course teaches you how to use the Model Context Protocol (MCP) to build real-world AI applications. You’ll explore the evolution of agentic AI, why LLMs need supporting systems, and how MCP works, from its architecture and life cycle to its communication protocols. You’ll build both single- and multi-server setups through hands-on projects like a weather assistant, learning to structure prompts and connect resources for context-aware systems. You’ll also extend the MCP application to integrate external frameworks like LlamaIndex and implement RAG for advanced agent behavior. The course covers observability essentials, including MCP authorization, authentication, logging, and debugging, to prepare your systems for production. It concludes with a capstone project where you’ll design and build a complete “Image Research Assistant,” a multimodal application that combines vision and research capabilities through a fully interactive web interface.