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Intermediate
Artificial Intelligence & Machine Learning
en
MCP Fundamentals for Building AI Agents
Educative
Platform
· Washington, USA
About this course
Learn the fundamentals of the Model Context Protocol (MCP) to build reliable, context-aware AI agents. This hands-on course walks you through MCP’s architecture (Host, Server, Client), why agentic systems need a protocol like MCP, and how it solves integration challenges between AI models, tools, and data. You will build a functional MCP server and client, integrate external tools, and implement prompt and resource features so agents can dynamically discover and use capabilities. The course also covers designing modular, scalable agent ecosystems and applying security best practices to protect MCP deployments in real-world GenAI architectures.
Prerequisite Skills
Skills you should have before taking this course
Python
Large Language Models (LLMs) basics
REST APIs
Skills Gained
Skills you will develop by completing this course
Model Context Protocol
AI agents
Agentic systems architecture
MCP server development
MCP client development
Tool integration for AI agents
Prompt and resource management in MCP
Security best practices for MCP