You do not need to understand AI to start

We will take this one step at a time: where you type, which names matter, what you can connect, and what should always stay under your control.

You do not need a computer-science degree. You do not need to pick a winner. You need a comfortable door, one small task, and a habit of reviewing before anything irreversible happens.

1. 01

   Find a comfortable interface

   A graphical chat is the easiest first door. Desktop apps, terminals, and APIs come later.

2. 02

   Choose one small task

   Summarize notes. Draft a reply. Outline a plan. Leave high-stakes work until the workflow is boring.

3. 03

   Try a free plan first

   A week of real tasks teaches more than a feature list. Upgrade when a real limit stops you.

4. 04

   Review before anything happens

   The model can prepare. A person sends, pays, deletes, publishes, and grants access.

What you will learn

The course moves from the basics into the practical middle of modern AI: how assistants reach your work through built-in tools, signed-in connectors, the Model Context Protocol (MCP), permissions, and reusable setups such as skills, GPTs, and projects.

• Twenty short lessons. Most are five to ten minutes.
• Interactive labs that run entirely in your browser.
• A glossary for names you will keep seeing.
• Progress saved on this device, with optional email sign-in for cross-device sync.