Learn MCP (Model Context Protocol)

Learn how to work with the MCP (Model Context Protocol) to optimize connecting AI to external sources, improve model capabilities, and land AI Engineering roles.

What you'll learn

• Understand the opportunities that MCP creates
• Apply MCP to real‑world AI use cases
• Learn to use MCP with the most popular models from OpenAI
• Work with MCP servers from Deepwiki and Stripe

If you're into AI that actually does stuff - not just talks about it - this byte-sized course is for you.

Get ready to dive into the Model Context Protocol!

MCP is an open‑standard framework, originally introduced by Anthropic, designed to seamlessly link Large Language Models (LLMs) with external data sources, tools, and systems. Like USB‑C standardizes hardware ports, MCP provides a standardized protocol for AI to connect to content repositories, APIs, databases, business software, code tools, and more!

That means it's your secret weapon for making your AI do everything you've ever wanted it to do.

We mix theory with real examples. You’ll see MCP in action - how it solves problems posed by AI, and the opportunities it creates. Plus, we break down best practices, common pitfalls, and show how to build real-world AI tools using the MCP. By the end, you'll confidently use MCP in your own AI projects.

No vague theory here. Just practical, modern AI Engineering skills you can use right away.