Model Context Protocol (MCP): Fundamentals to Production

About this course

Model Context Protocol (MCP) is emerging as a core standard for building context-aware, tool-enabled, and production-grade AI systems. This course is a complete, hands-on journey that takes you from MCP fundamentals all the way to Designing, Dockerizing, and deploying real-world MCP systems.

You’ll start by understanding what MCP is, why it exists, and the real problems it solves in modern AI ecosystems. From there, you’ll progressively build MCP servers and clients, explore real MCP ecosystems, implement advanced server capabilities, and finally deploy a production-ready MCP system using Docker.

This course is designed for developers and AI builders who want practical, real-world MCP skills, not just conceptual knowledge.

Course Structure & What You’ll Learn1. MCP Introduction

Introduction to Model Context Protocol (MCP)What MCP is and how it works

Problems MCP solves in the AI ecosystemMCP adoption trends and ecosystem overview

Understanding the complete course structure2. MCP Architecture & Core ConceptsMCP client–server architectureMCP primitives and core building blocksMCP transport layers: STDIO & Streamable HTTP

How MCP enables scalable, tool-based AI systems3. Development Environment Setup & ToolingSetting up the MCP development environmentMCP client setup using Claude DesktopUnderstanding MCP resources and tooling4. MCP Quick Start – Building Your First MCP ServerProject setup and initialization

Creating your first MCP server

Testing and debugging using MCP Inspector

Integrating your MCP

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