01
Research synthesis
Use AI to organize notes and spot patterns while keeping evidence and judgment human-owned.
/ux
UI / UX Design
Use AI to sharpen research, copy, prototyping, and product judgment.
Overview
What this track proves.
UX
This track is for people who care about how products feel, explain themselves, and solve real problems. You will practice research synthesis, user journeys, interface critique, prototyping, and design rationale.
Pace
5-8 hrs/week
Capstone
Research-backed prototype, teardown, or redesigned flow.
Review
Async critique on research, prototype states, copy, and rationale.
Good fit
This is for you if...
Use this section as a practical gut check before you apply.
You notice friction in products and want to make it easier for users to act.
You like research, visual hierarchy, information architecture, and clear copy.
You want a design artifact you can defend with evidence.
Outcomes
What you can leave with.
The goal is proof of work, not passive course completion.
Produce a concise research synthesis with observations, evidence, and recommendations.
Map a user journey and identify the highest-impact friction points.
Create a high-fidelity prototype or screen set with clear states.
Explain the tradeoffs behind your decisions in a design review.
Curriculum
The work, in order.
02
Journey and flow design
Map what users are trying to do, where they hesitate, and what the interface should make obvious.
03
Prototype craft
Design screens with hierarchy, state coverage, copy, spacing, and accessible interaction patterns.
04
Design rationale
Present decisions clearly and connect them to user needs, constraints, and expected outcomes.
Capstone examples
The artifact can take a few shapes.
A redesigned onboarding or application flow with before/after rationale.
A research-backed prototype for an AI-native feature.
A product teardown with recommended improvements and high-fidelity screens.
Builder signal
What Builder-level work looks like.
Builder means you have shipped or presented a designed product where AI played a real role in research, copy, prototyping, or iteration and you can show exactly how.
FigmaClaude or ChatGPTMaze or lightweight research notesFigJamDesign QA checklists