The Complete MCP (Model Context Protocol) Bootcamp

Master Model Context Protocol (MCP): Build, Integrate & Deploy AI Tools with Hands-On MCP Server Projects

What you'll learn
Understand the Agentic Theory behind Model Context Protocol and what Problems MCP Solves
Master the architecture, concepts, and features of Model Context Protocol for production applications
Deploy MCP Servics to Production
Integrate MCP Services into LangGraph, LangChain and LangSmith
Secure MCP Services using OAuth
Learn how to find and use MCP for Virtually Every Use Case
Implement and integrate a functional MCP server with real-time data providing capabilities
Learn about what's coming up in the MCP world
MCP using OpenAI's Agents Framework and Responses API
Dockerizing MCP for Production
Interviews with Industry Experts

Requirements
Basic programming knowledge required. Familiarity with Python is required. No prior AI or MCP experience needed - we'll teach you everything from the ground up.
Access to a PC/Mac where you can install Software like Claude, Cursor and Visual Studio Code

Description
If you want to Understand, Integrate, Implement, Publish and Secure and Deploy Model Context Protocol (MCP) solutions to Production, this course is for you.It delivers what many others don't - genuine hands-on experience developing, integrating and deploying MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world Model Context Protocol challenges.Feedback from Students:"The course structure works brilliantly*, starting with essential MCP foundations and methodically building toward practical applications." - Daniel"Zoltan does a great job at breaking down the Model Context Protocol concepts so it's easy to learn and build up your knowledge as you go." - Jose"Although I had some exposure to AI agents before, I still learned a lot about MCPs that I can use in my daily work. - StefanWhy Model Context Protocol (MCP) matters: MCPs solve a critical problem in the multi-LLM world by creating standardized ways for AI models to interact with external systems. This MCP bootcamp takes you from fundamental Model Context Protocol concepts and third-party MCP integration to implementation of real-world projects at every step.Course Structure: This course follows a hands-on, practical approach to Model Context Protocol. We start with the theoretical foundations to understand MCPs in context, then quickly move to building real working MCP applications.THEORETICAL SECTION:How LLM interactions and tool calling work with MCPsThe problem Model Context Protocol solves in a multi-LLM worldCore MCP concepts and architectureModel Context Protocol features: Tools, Prompts, and moreWhere MCPs fit in the AI ecosystemPRACTICAL SECTION:Complete MCP development environment setup for Mac & WindowsWorking with MCP hubs and global providersIntegrating Model Context Protocol with Claude and CursorStep-by-step creation of your own Crypto Price MCPWorking with MCP Tools and ResourcesTesting and debugging MCPs with MCP InspectorIntegrating Model Context Protocol into LangChain, LangGraph and LangSmithBuilding Python and Javascript-based MCPsDeploying Model Context Protocol solutions to ProductionSecuring MCPs with OAuthDeploying Secure Model Context Protocol to OAuth WorkersHERO SECTIONIntegrating MCPs with OpenAI Agents and the Responses APIDockerizing MCPs and Docker-based Production DeploymentOUTLOOKA sneak peek into Anthropic's MCP Roadmap about the future of Model Context ProtocolJoin developers and AI enthusiasts already mastering MCP and transform your AI development skills with Model Context Protocol today!

Who this course is for:
AI Enthusiasts who want to get hands-on with MCPs, Software developers looking to enhance applications with AI capabilities, AI Engineers