MCP Mastery: Build AI Apps with Claude, LangChain and Ollama

About this course

Master the Model Context Protocol (MCP) and build production-ready AI applications that connect Claude with real-world data, APIs, and workflows.

As AI adoption accelerates across industries, the Model Context Protocol (MCP) has emerged as the standard for connecting AI models with external systems. Companies are actively seeking developers who can build secure, scalable MCP integrations. This course positions you at the forefront of this rapidly growing field.

What Makes This Course Different

Unlike theoretical courses, you'll build real projects from day one. Each section combines practical coding with essential concepts, ensuring you develop both understanding and hands-on skills. By completion, you'll have a portfolio of working MCP applications ready for production use.

Complete Learning Path: From Basics to Advanced

Foundation & Setup

Master MCP architecture (client, server, transport layers)Set up a professional development environment with Python, Node.js, and Claude Desktop

Build your first MCP server with live weather API integration

Debug and test MCP connections using Inspector tools

Real-World Integrations

Connect MCP servers directly to Claude Desktop for immediate AI enhancement

Build data analysis servers for Excel, PowerPoint, and SQLite databases

Create file system management tools for automated workflows

Implement web automation using Microsoft Playwright

Advanced AI Workflows

Develop RAG (Retrieval-Augmented Generation) systems with LangChain and vector databases

Build personalized job search applications with MCP tools, resources, and prompt

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