Model Context Protocol (MCP) Masterclass The Complete Guide

About this course

This course contains the use of artificial intelligence.

Course Updates: Includes New Release (2026-07-28) - MCP Has Now Become Stateless

Modern AI systems are no longer just chatbots. They are intelligent agents that can interact with tools, access enterprise systems, retrieve real-time data, and perform real-world actions.

The technology that makes this possible is Model Context Protocol (MCP).

Model Context Protocol (MCP) is rapidly becoming the foundation of modern AI systems—enabling AI agents to interact with tools, APIs, and enterprise systems in a structured and secure way.

In this comprehensive course, you will go from beginner to advanced by learning how MCP works under the hood and how to build real-world, production-ready MCP systems.

You will start with core concepts like MCP architecture and JSON-RPC, then progressively move into building MCP servers, developing MCP clients, and implementing true bidirectional communication using client and server primitives.

This course goes beyond basics. You will learn how to design enterprise-grade MCP architectures, test systems using MCP Inspector, integrate with Copilot Studio, and implement critical security patterns including authentication, authorization, and Azure API Management.

Through hands-on labs and a complete capstone project, you will build a full end-to-end MCP system used in real enterprise scenarios.

Whether you're a developer, AI engineer, or architect, this course will give you the skills to design, build, and deploy modern AI integrations using MCP—one of the most in-demand skills in the evolving AI ecosystem.

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