MCP Fundamentals for Building AI Agents

Master the essentials of MCP, build servers and clients, and deploy scalable, context-aware AI agents through hands-on development.

Beginner

10 Lessons

Updated yesterday

Master the essentials of MCP, build servers and clients, and deploy scalable, context-aware AI agents through hands-on development.

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Explanations

AI-POWERED

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Explanations

Course Overview

Step into the future of AI development with this hands-on course on the Model Context Protocol (MCP), a powerful architecture for designing intelligent, context-aware agents. You'll unpack the limitations of traditional LLMs and unlock the potential of modular, scalable AI systems. Learn how MCP defines clear roles, structures agent behavior, and streamlines real-world deployment. By the end, you'll be equipped to engineer AI agents that that can reason, adapt, and scale. The hands-on portion walks you thr...Show More

What You'll Learn

An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in

Familiarity with the core concepts, roles (host, client, server), and architecture behind MCP

Hands-on experience building your own MCP server and client, and integrating features like prompts and resource management

An understanding of how MCP enables modular, reusable, and scalable AI solutions

What You'll Learn

An understanding of the concepts from standalone LLMs to agentic AI applications, and where MCP fits in

Course Content

Getting Started

Get an overview of Model Context Protocol for integrating AI and automating workflows.

Course Overview

MCP: Why Agentic Systems Fail Before They Scale

Introduction to MCP

Explore the core understanding and architecture of Model Context Protocol.

From LLMs to AI Agents

What Is MCP?Understanding MCP Roles and Architecture

Building an Application with MCP

Explore the development of an MCP server and client for enhanced AI interactions.

Creating the MCP Server Creating the MCP Client Adding Prompt Feature to the MCP Application Adding Resource Feature to the MCP Application

What’s Next?

Advance from AI fundamentals to building complex, modular agent ecosystems.

From a Single Server to an Agentic Ecosystem

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