Model Context Protocol (MCP) / AI Agent Security Fundamentals
Model Context Protocol (MCP) is changing how AI applications connect to external data and tools. Learn how this open standard works, explore its architecture and deployment models, and build hands-on experience securely connecting AI clients and MCP servers.

Course Content
As AI applications become more capable, connecting them to external data, tools, and systems has traditionally required a growing collection of custom integrations. Model Context Protocol (MCP) provides a standardized way for AI applications to communicate with external environments, creating a shared interface that can simplify how these connections are built and managed.
In this foundational course, you'll explore what MCP is, how the protocol works, and the different ways it can be deployed and executed. You'll learn how MCP clients and servers interact, explore real-world protocol deployments, and develop a practical understanding of MCP's role in modern AI applications and agent systems.
You'll also get hands-on experience connecting an MCP server to an AI client and building a basic server framework. By the end of the course, you'll be able to explain MCP mechanics to technical and enterprise audiences and recognize AI agent security risks, and understand how the protocol can be applied to AI-powered systems.
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