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MCP Clients and Servers

For AI users and builders who want their assistant connected to their real tools and data, set up safely and properly.

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An AI assistant that can only see what you paste into it is working with one hand tied. MCP, the Model Context Protocol, is the open standard that lets assistants such as Claude connect directly to your files, apps and data, and it is now supported across many popular AI tools.

In live, hands-on sessions you learn how MCP fits together in plain terms, then connect your own assistant to the tools you use every day. Mentors walk you through the setup most people get wrong and the safety habits that keep your data protected, so your assistant becomes far more useful without becoming a risk.

What you will learn

  • Understand MCP clearly, in plain terms
  • Connect your assistant to the tools and data you use every day
  • Choose connections worth trusting and skip the rest
  • Keep your data protected while your assistant does more

Course outline

The full material opens once you are enrolled.

  1. Module 1

    MCP made clear

    • Why AI apps are adopting itSee the problem MCP solves and why it matters for anyone who works with AI.
    • How the pieces fitGet a clear mental model that makes every MCP setup make sense.
    • What your assistant can really doDiscover what changes when your assistant can reach your actual work.

  2. Module 2

    Connected, live

    • Finding connections worth trustingLearn how to tell a solid MCP server from one to avoid.
    • Your first connection, liveConnect your own assistant to a real tool during the session.
    • Seeing under the hoodWatch exactly what your assistant can see, so nothing happens behind your back.

  3. Module 3

    Safe by design

    • The setup most people get wrongAvoid the common mistakes that give an assistant far more access than it needs.
    • When content fights backUnderstand the hidden risks in connected AI and how to stay ahead of them.
    • A connected setup you can trustLeave with your assistant connected to your daily tools and reviewed by a mentor.

What's included

  • Taught live

    Hands-on sessions with your cohort, applied to your own work rather than textbook examples.

  • Certificate, with your portfolio on it

    Complete the course and you get a certificate that shows the portfolio you built: the projects you shipped, not the hours you sat through.

  • Pairs with your main course

    Take it alongside Builder, Innovator or Architect to go deeper in your own field.

  • Reviewed, not just watched

    Your work gets direct feedback, and one-to-one doubt sessions are there when you ask.

  • The community

    Learn alongside people putting the same skills to work.

Want this with your course?

For AI users and builders who want their assistant connected to their real tools and data, set up safely and properly.

Invite only

Ask about enrolling