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 the next evolution in AI application development and is quickly becoming the industry standard for connecting generative AI models to real-life data.Understanding this protocol is crucial for any developer looking to build the next generation of intelligent applications.This course aims to be the most comprehensive course on the subject and takes you from a complete 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 PathStart with fundamental concepts and gradually build complexity through hands-on projects that simulate real-world scenarios.Multiple Technology StacksPython: Backend MCP server development with comprehensive security featuresTypeScript/React: Modern web client development with MCP SDK integrationDocker: Production-ready containerization and deploymentPractical Projects You will BuildWeather Service: Learn MCP basics with a practical API integrationFlight Booking System: Learn about tool chainingTodo Management Platform: Complete full-stack application with authentication, CORS, and OAuthTodo MCP Client: Modern React-based webapp MCP client for testing MCP serversGitHub Integration: Connect with real external services using OAuthUse Industry-Standard Tools & FrameworksKeycloak for enterprise identity managementDocker Compose for orchestrationProfessional logging, error handling, and code organizationPython official MCP SDK - FastMCPTypescript official MCP SDKFastAPI for application/ReST implementationAuthlib for OAuth implementationEXTRA 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 OpenAIImplement comprehensive security using API keys and OAuth 2.0Deploy scalable, containerized AI applicationsCreate web clients that seamlessly interact with MCP serversIntegrate with popular AI platforms like Claude and OpenAIHandle real-world scenarios, including authentication, CORS, and error handlingTest, refactor, and maintain professional-grade codebasesDiscuss the future trends of Gen AI development Join thousands of developers who 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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