Welcome
What will you learn in this course?
Who is the course for and prerequisites
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Learn the fundamentals of MCP, the open standard for connecting AI assistants to external tools, data sources, and APIs.
Most developers are still glueing AI applications together with brittle prompt engineering and fragile workarounds. This course teaches you how to move beyond that by designing and shipping production-ready AI applications using the Model Context Protocol (MCP) in C#. You’ll build both an MCP Server and an MCP Client from scratch, connect them over StreamableHTTP, and integrate them into a working AI agent powered by OpenAI. Along the way, you’ll tackle real-world concerns like authentication with Microsoft Entra ID, secure tool design, trust boundaries, resource exposure, orchestration, and deployment to Azure. By the end, you won’t just understand the MCP spec. You’ll know how to use it to build secure, maintainable, distributed AI systems that are ready for production.
It was a very useful and timely training for me. This is already the third course from James, and I haven’t regretted a single dollar I paid.
1. deployment on an Azure Container registry 2. Authentication
I like it a lot. James also introduced flows in Azure and Docker, making this course more complete and ready to production.
MCP topics and functioning and some flows in Azure.
I understand what is the difference between the MCP Server and Client, how the communication occur and how to secure the communication, moreover some best practices to how to name and describe MCP Tools.
I think its good as strating point, to build on top of that.
I really liked how practical and hands‑on this course was. The explanations were clear, the examples were relevant, and the instructor made a complex topic feel approachable. It gave me a solid understanding of MCP and how to start using it in real projects.
One particularly useful thing I learned from this course was how MCP handles authentication and authorization. This isn’t widely explained elsewhere, so understanding how clients and servers securely identify and validate each other gave me a much clearer picture of how to build safe, real‑world MCP integrations.
James covers how to build both an MCP server and client. Including authentication and authorization. Plus, how to publish it to make it public.
How to containerize and deploy an MCP server to Azure leveraging Entra ID for auth!
I found the lessons clear, well organized, and informative, giving me the confidence that I could understand MCP and build an MCP server.
Model Context Protocol and how LLMs interface with MCP servers.
