Udemy: Figma AI Workflow — from vision to version

This Udemy course, updated in February 2026, covers Figma’s built-in AI toolset from initial concept through to design handoff. The instructor’s focus is not on external AI tools but specifically on the AI features Figma has shipped natively — Make Designs, Content Fill, Auto Layout Suggestions, and the newer generative capabilities in the sidebar.

The course opens with an orientation to where AI features live in the current Figma interface, since Figma has moved and renamed several tools across recent releases. This is a practical starting point that saves time for designers who have been using Figma for years but have not kept pace with the AI additions.

The core modules cover prompt writing for UI generation. Unlike general prompt engineering courses, this one is scoped specifically to design contexts: how to describe a component, how to specify constraints (spacing, color variables, component types) in a prompt, and how to iterate when the generated output is not quite right. There is a section on Content Fill that explains how to populate designs with realistic placeholder data rather than lorem ipsum, and another on how Auto Layout Suggestions can be used to structure generated frames into responsive layouts.

The handoff section covers how to clean up AI-generated designs before passing them to developers — removing unnecessary layers, naming frames correctly, and making sure generated components are connected to the design system rather than floating as detached instances.

Who it is for: working UI designers who already know Figma fundamentals and want to integrate its native AI features into their day-to-day workflow. Beginners who have not yet learned basic Figma will find the pace too fast. The course does not cover Figma Make or the collaborative AI features in FigJam, which are treated in separate Figma courses.

What it does not cover: third-party AI design tools, Midjourney or other image generation platforms, or AI-assisted user research.