OneRange

AI for Design & UX

Designers and UX researchers learn to apply AI across ideation, research synthesis, copy, and asset generation. The course covers concepting, synthesizing UX research, UX writing, image and mockup generation, and AI features in design tools. Participants finish able to move from idea to artifact faster.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

  • Introduction to AI in the UX Lifecycle — Understand how AI integrates into the modern design workflow, ethical considerations, and how to set up your workspace for hands-on practice.
  • AI-Powered Ideation and Concept Generation — Learn to use LLMs to brainstorm design concepts, generate user personas, and map out initial user flows based on project prompts.
  • Synthesizing UX Research with AI — Analyze qualitative user feedback, extract key themes, and generate actionable insights from raw research transcripts using AI analysis tools.
  • UX Writing and Microcopy Generation — Apply AI to draft, refine, and localize UI copy, error messages, and onboarding flows while maintaining a consistent brand voice.
  • AI Image and Mockup Generation — Master prompt engineering for image generators to create custom UI assets, placeholders, and mood board illustrations directly within your workflow.
  • Co-Designing with Native Design Tool AI Features — Leverage built-in AI features in modern design tools (like Figma or Adobe XD) to automate layout generation, component creation, and wireframing.
  • Prototyping and Refining AI-Generated Assets — Assemble your AI-generated copy, images, and wireframes into a cohesive, interactive prototype, refining elements for accessibility and usability.
  • Evaluating AI Outputs and Design QA — Develop a critical eye for AI-generated design work, identifying bias, formatting errors, and usability issues before handoff.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to AI-Powered Creative Ideation, Image Generation, Synthesizing Research Findings, UX Writing.

  • AI-Powered Creative Ideation
  • Image Generation
  • Synthesizing Research Findings
  • UX Writing

Who it is for

Designers, UX researchers. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Function: Design & UX track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including guided lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Related

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code FUN-DES.