Guide to Model Context Protocol (MCP): Building Smarter, Stateful AI

Welcome! 🚀 This course is your definitive guide to understanding and implementing the Model Context Protocol (MCP). In the age of powerful but stateless AI models, managing conversation history and user data—the “context”—is the key to creating intelligent, personalized, and coherent applications. You’ll move from fundamental theory to a hands-on implementation, building both a server and a client to manage AI context effectively. By the end, you’ll be equipped to design and deploy sophisticated, stateful AI systems.

Target Audience:
AI/ML Developers, Backend Engineers, and Software Architects interested in the practical application of Large Language Models (LLMs).
Prerequisites:
Basic understanding of Python programming.
Familiarity with REST APIs and the client-server model.

Course Instructor

Satheesh Satheesh Author

Free

FREE
MEMBER PRICING

Model Context Protocol – An Intro

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The “Why” and “What” of Context

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MCP Architecture Deep Dive

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Hands-On Lab: Building Your MCP System

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Course Wrap-up & The Path Forward

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