Generative AI Courses — How It Works

11 courses that explain how generative AI works — the technology behind tools that produce text, images, and other content from a simple prompt. They're conceptual and require no coding: the goal is to understand what's happening under the hood, what these systems do well, and why they sometimes get things confidently wrong.

Generative AI is the class of systems that create new content — writing, pictures, audio, code — rather than just sorting or labeling what already exists. These courses are about understanding how that works, not operating a particular tool or building one. They unpack the core ideas in plain language: what these models learn from, how they generate something new one piece at a time, and why the same technology that drafts a fluent email can also invent a convincing falsehood. If your aim is to actually use generative tools day to day, the Use AI track fits better; if you want to build applications with them in code, look to Develop AI. This page is for readers who want to understand how the technology works, with no math-heavy detail and no programming.

Generative AI courses

11 courses.

Frequently asked questions

What is generative AI?
Generative AI is a type of artificial intelligence that creates new content, such as text, images, audio, or code, in response to a prompt, by learning patterns from large amounts of existing data and using them to produce something original.
Do I need coding or math to understand generative AI?
No, these courses explain how generative AI works in plain language, with no programming and only minimal math, so they suit learners who want conceptual understanding rather than technical implementation.
How is this different from using or building generative AI tools?
These courses explain how generative AI works as a concept, whereas the Use AI track covers applying generative tools in your work and the Develop AI track covers building applications with them in code.

Key concepts

The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.