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

Course Overview

This course teaches how to build AI applications using MCP, LangChain, LangGraph, and Ollama. You will learn how to create MCP servers, integrate AI workflows, and develop production-ready AI applications with Python and modern AI frameworks.

Course Details

• Rating: 4.7 / 5
• Students Enrolled: 2,437
• Duration: 9.5 Hours
• Language: English
• Certificate: Included
• Access: Full Lifetime Access

What You Will Learn

• Build and deploy MCP servers with real-world APIs and tools
• Integrate MCP with LangChain and LangGraph workflows
• Create AI applications using Ollama and Python
• Build RAG systems with vector databases for document retrieval
• Test, secure, and deploy MCP applications to cloud platforms
• Develop AI agents and intelligent workflows using modern AI tools

Complete MCP Developer Guide: Agents, Servers & Tools

Start Course

Main Topics Covered

• MCP Development
• LangChain & LangGraph
• RAG Applications
• AI Agents
• Ollama Integration
• Cloud Deployment

Who Should Learn This Course

• Developers interested in AI applications
• Students learning MCP and RAG systems
• AI engineers exploring LangChain workflows
• Anyone building AI agents and automation tools

Final Review

A practical course for learning MCP-based AI application development with modern frameworks and tools. It is suitable for learners who want hands-on experience building AI agents, RAG systems, and production-ready AI workflows.