Getting Started: Model Context Protocol (MCP)
Source: https://dometrain.com/course/getting-started-model-context-protocol-mcp/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.
Download Links
Password: cms.ddpanda.org
Related Courses & Lessons
Keep learning from this topic
Skool – AI Native Engineers
Become a high-paid AI Engineer by mastering real AI skills. AI engineering courses, mentorship and more.
Zubair Trabzada – AI Workshop (FEB 2026)
Learn how to build your own AI Employee with Claude Code
Vibe Coding for Coders to Build Enterprise Solutions
Build real-world enterprise apps with AI-powered Vibe Coding techniques using tools like Copilot, RooCode, Docker, etc
Claude Code for Playwright
Use Claude Code to build, debug, and maintain Playwright tests through agentic workflows. Learn how to delegate test automation work...
Harness Engineering Masterclass: AI Coding Agents
Learn Claude Code, Codex CLI, Gemini CLI, MCP, Context Engineering, Multi-Agent AI & Production Harnesses
ML-DL Capstone Project
Apply your machine learning and deep learning knowledge to build real-world capstone projects with expert guidance.