Artificial intelligence, usually shortened to AI, is a broad name for computer systems that perform tasks such as recognizing speech, recommending a route, or producing content. Generative AI means the part that produces content such as text, images, audio, or video.

A generative-AI answer can look as if a person wrote it, a search engine found it, or a database stored it. None of those pictures is accurate enough on its own.

In this Course, you will follow one ordinary request from the earlier making of the AI to the answer shown on screen. Every technical term will be explained in familiar language before it is used to explain the next step.

You will not study equations, write code, or build an AI yourself. The Course focuses on common AI chat systems that generate text. Image, audio, and video generators are also generative AI, but they do not all work in the same way.

Across seven short Lessons, you will build an AI Response Map. It separates:

• language patterns learned before you sent the request;
• details supplied in your current request;
• current information brought in from outside the AI;
• wording and conclusions created for this answer;
• facts that remain unknown; and
• decisions or actions that still belong to a person.

By the end, you will be able to explain why an answer can be useful and fluent while still needing evidence and human judgment.