Master Generative AI: MCP Developer Bootcamp

Complete guide & hands on course from development and deployment of secure MCP apps. Extra app: MCP client workbench.

What you'll learn
- Master AI fundamentals and get the background to the Model Context Protocol (MCP), why do we need it?
- Learn about the MCP architecture to understand MCP Hosts, Clients, Servers, Protocol, Registry, and Gateway
- Learn the fundamental capabilities of MCP Servers: Tools (interact with your data), Resources (enhance LLM context with your data), Prompts (chat templates)
- Build your first local (StdIO) MCP Server in Python, start and access it from Claude Desktop
- Learn how to use the MCP Inspector to test your MCP Servers
- Build your first MCP Client and access your local MCP Server, connect your client to OpenAI GPT models
- Build a local (StdIO) MCP Server to test tool chaining, one tools result feed into another tool
- Build a remote (streamable HTTP) MCP Server in Python, access it from Claude Desktop and MCP Inspector
- Build a remote (streamable HTTP) MCP Server in Python that is a front-end for a ReST API server
- Secure your remote MCP Server with API Keys
- Secure your remote MCP Server, it acts as an OAuth Resource Server with Keycloak as an Authorization Server
- Build an HTML MCP Client supporting OAuth and access the remote MCP Server using OAuth Client Credentials grant flow
- Learn how to implement CORS in your remote MCP Server and why it is needed
- Get access to a React-based webapp that can be used to test MCP Servers that implement OAuth. Test OAuth Client Credentials flow, OAuth Authorization Code flow
- Connect to the commercial GitHub MCP Server from our React-based MCP client with GitHub Auth server integration
- Learn how to setup a regression test suite for your MCP Server using pytest
- Build Docker images for your MCP Server and run with Docker Compose
- Learn what is coming next in the MCP world - Gateways and Registries

Requirements
- Basic programming knowledge - Python or JavaScript helpful but not required.
- Docker knowledge is useful

Description
Model Context Protocol (MCP)represents thenext evolution in AI application developmentand is quickly becoming theindustry standardfor connecting generative AI models to real-life data.

Understanding this protocol iscrucial for any developerlooking to build the next generation of intelligent applications.

This course aims to bethe most comprehensive courseon the subject and takes you from acomplete beginner to advanced practitioner, teaching you all the skills you need to build secure, scalable AI-powered applications that can interact with real-world systems.

Whether you're building internal tools, customer-facing applications, or enterprise solutions, this course provides the complete foundation you need to succeed and meet the growing industry demand.

Course Highlights:

Progressive Learning Path

Start with fundamental concepts and gradually build complexity through hands-on projects that simulate real-world scenarios.

Multiple Technology Stacks

Python: Backend MCP server development with comprehensive security features

TypeScript/React: Modern web client development with MCP SDK integration

Docker: Production-ready containerization and deployment

Practical Projects You will Build

Weather Service: Learn MCP basics with a practical API integration

Flight Booking System: Learn about tool chaining

Todo Management Platform: Complete full-stack application with authentication, CORS, and OAuth

Todo MCP Client: Modern React-based webapp MCP client for testing MCP servers

GitHub Integration: Connect with real external services using OAuth

Use Industry-Standard Tools & Frameworks

Keycloak for enterprise identity management

Docker Compose for orchestration

Professional logging, error handling, and code organization

Python official MCP SDK - FastMCP

Typescript official MCP SDK

FastAPI for application/ReST implementation

Authlib for OAuth implementation

EXTRA APP:Gain access to MCP Workbench, a React-based web app I designed, which you can use during the course and in the future to test MCP Servers that implement OAuth.

By the end of this course, you'll be able to:

Build production-ready MCP servers that fully support OAuth, CORS, logging, and testing

Build production-ready MCP clients that fully support OAuth and integrate with OpenAI

Implement comprehensive security using API keys and OAuth 2.0

Deploy scalable, containerized AI applications

Create web clients that seamlessly interact with MCP servers

Integrate with popular AI platforms like Claude and OpenAI

Handle real-world scenarios, including authentication, CORS, and error handling

Test, refactor, and maintain professional-grade codebases

Discuss the future trends of Gen AI development

Jointhousands of developerswho are already leveraging MCP to create more powerful, flexible, and secure AI applications!

Enroll now and become an expert in the protocol that's shaping the future of AI development!

Who this course is for:
- IT professionals interested in latest developments in AI
- Solution Architects and Consultants designing robust and secure AI integration strategies
- Software Developers adding AI capabilities to existing applications
- DevOps Engineers deploying and scaling AI services
- Full-Stack Developers building modern AI-powered web applications
- IT Security Professionals responsible for safe AI adoption, data governance and compliance
- Product Managers planning AI features with real-world constraints
- Data Engineers and Analysts who need to connect models to live data sets
- IT Startup Founders building AI products beyond simple chatbots
- IT Graduates needing real-life skills to boost their career prospects
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