AI Agents & LLMs 2026: MCP Explained

About this course

This course contains the use of artificial intelligence.

That is not a disclaimer — it is part of the point. The slides and the voice narrating the lectures were produced with AI tools, but every script was written and fact-checked by a human instructor with real hands-on experience. Think of the AI as the production crew; the teaching is human.

Every AI app rebuilds the same tool integrations, from scratch. GitHub. Slack. A database. Over and over, by every team.

It is an enormous, quiet waste. And in late 2024, a standard arrived to end it: the Model Context Protocol.

One universal way to connect AI to your tools and data.

What you will learn:

• MCP Explained is the clear, concept-first guide to the standard everyone is adopting.

You'll understand the architecture — host, client, and server. The three primitives — tools, resources, and prompts. How the protocol actually works. How to build and use servers. And the security you cannot skip.

No spec-reading, no fluff. Just the mental model that makes MCP click.

What this course covers, module by module:

Why MCP?; What Is MCP?; The Architecture; Tools; Resources; Prompts; The Protocol & Transports; Discovery; Building a Server; Clients & Ecosystem; Security & Trust; Where MCP Fits.

Who this is for:

• This is for builders — anyone connecting AI to real tools and data who wants to understand the standard properly.
• Let's plug AI into the world.
• By the end, you'll be able to explain MCP, use existing servers, design your own, and connect things safely.
• Enroll now.
• Please read — what this course is (and isn't): This is a theoretical, concept-first course.

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