March 2026
Intermediate
2h 53m
English
Closed Captioning available in English
Overview
In this 3-hour course, you will learn how to build, consume, and secure AI services using the Model Context Protocol (MCP), moving from core concepts to hands-on implementation across discovery, client tooling, server design, authentication, cloud deployment, observability, and governance.
What I will be able to do after this course
- Understand the essentials of MCP and when to use it for AI-driven applications
- Find, install, and safely work with MCP servers through trusted registries
- Use MCP tools inside AI assistants like Copilot and Claude with confidence
- Build clean, scalable MCP services that integrate smoothly with real systems
- Secure MCP workflows using OAuth 2.1 and modern authentication practices
Course Instructor(s)
Christoffer Noring and Maxim Salnikov are Microsoft experts in AI developer tooling, distributed systems, and modern web architecture. Together, they help engineering and platform teams adopt MCP and modernize developer workflows using tools such as GitHub Copilot, Visual Studio, and Azure. They also contribute to developer education and community leadership through technical conferences and hands-on training.
Who is it for?
This course is for software developers, architects, platform engineers, and technical leads who want to connect AI assistants to real systems using MCP. It is especially useful for teams integrating MCP servers with internal APIs, data sources, and workflows, with basic modern web development familiarity recommended.
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