# AI for UX & UI Design

Canonical URL: <https://training-nyc.com/courses/ai-ux-ui-design>

## Overview

AI can enter the UX design process without any loss of design judgment, accessibility, or user control, and this course shows you how. Across three days at an advanced level, you construct a reusable AI-powered UX workflow that carries research, product thinking, design, prototyping, and evaluation.

A focused sample project anchors the work, and you set up an AI workspace that expands as the project does, apply AI to the organization and analysis of research, settle on an appropriate AI-powered experience, lay out an inclusive user flow, and convert your designs into a working prototype. Testing against realistic scenarios follows, along with judging AI-generated output and tightening both the design and your AI instructions according to what the results show.

No single AI model or tool sits at the center of the course. The attention goes instead to transferable workflows and responsible AI use, which hold up in Claude Code, OpenAI Codex, Figma Make, and other AI development environments.

## What you'll learn

- Establish a reusable AI workspace that backs your UX process at every point from research to prototyping and testing; apply AI to sort research, spot patterns, and shape product opportunities grounded in evidence
- Convert what the research shows into problem statements, user journeys, user stories, and feature priorities
- Decide the moments when AI should act, assist, recommend, ask for approval, or hand control back to the user
- Create inclusive AI-powered experiences with accessibility, uncertainty, errors, correction, and recovery all taken into account
- Take structured Figma designs and produce interactive prototypes from them using AI-assisted development tools
- Put AI-powered experiences through realistic situations, among them incomplete information and output that is wrong or uncertain
- Review and improve AI-generated work against design quality, accessibility, consistency, trust, and user control
- Produce a repeatable Agentic AI workflow that transfers to your later UX projects

## Prerequisites

This advanced course is intended for UX designers and graduates of the UX & UI certificate program who understand the UX process and are comfortable working independently in Figma.

## Curriculum

#### Day 1: Build Your AI Brain

- Capture your UX process, methods, standards, project goals, audience, constraints, measures of success, and expectations for how AI should support your work in one shared workspace.
- Teach an AI agent how you approach research, design, testing, and decision-making, and create a system that improves as new project information is added.
- Plug your Skills.MD into real research tasks and guide AI to generate research plans, questions, and hypotheses.
- Use prepared competitive research, behavioral research, survey results, and interview notes to organize information, identify patterns, and suggest findings and opportunities.
- Compare AI outputs with the original research, remove exaggerated, unsupported, or overly general findings, and refine instructions when the agent makes assumptions.
- Develop a clear project brief, working AI Brain guidelines, and research findings to guide the next phase of the project.

#### Day 2: Design the Product and How AI Should Help

- Use your AI Brain to generate problem statements and opportunity areas, map user journeys, and turn research findings into user stories and feature priorities.
- Choose one focused product opportunity and define where AI should act, assist, recommend, ask for approval, or leave control with the user.
- Plan human review, approval, correction, and intervention, including smooth handoffs between AI support and human support.
- Design an experience that helps users understand what AI is doing and accounts for consent, correction, undo, uncertainty, errors, and recovery.
- Develop a mid-fidelity user flow that is inclusive, accessible, understandable, and grounded in the research findings.
- Review the flow for accessibility, inclusive design, trust, and user control, then add the resulting product direction, AI responsibilities, interaction patterns, and accessibility guidelines to your AI Brain.

#### Day 3: Turn Your Design into a Working Prototype

- Prepare clean, structured Figma files with reusable components and consistent styles for AI-assisted development.
- Use tools such as Figma Make, Claude Code, or Codex to turn designs into an interactive prototype using project goals, research findings, user needs, accessibility requirements, design guidelines, and expected AI behavior.
- Review the AI agent’s proposed approach before building, then compare the generated prototype with the intended experience for design quality, accessibility, and consistency.
- Define success criteria and create realistic testing situations involving successful tasks, incomplete information, uncertain AI responses, incorrect results, human approval, correction, and recovery.
- Evaluate clarity, accessibility, trust, and user control, and determine whether issues should be corrected in the interface, user journey, AI instructions, accessibility guidance, project information, or testing criteria.
- Update the appropriate parts of your AI Brain and prototype based on testing results, then test the experience again.

#### Independent Student Project

- Define a product challenge and audience, build and customize your own AI Brain, and create a focused research plan.
- Gather and organize supporting evidence, analyze the research, and identify product opportunities.
- Develop problem statements, a user journey, and user stories, and define how AI should support the experience and where human controls are needed.
- Create a working prototype and vibe-code a React or Next.js prototype using design-system context.
- Test realistic situations and AI responses, including variable AI outputs, and document improvements and design decisions.
- Turn the completed work into a portfolio-ready case study.

## Schedule
- Nov 6, 2026 – Nov 20, 2026 — NYC
- Mar 29, 2027 – Mar 31, 2027 — NYC
- Jul 13, 2027 – Jul 15, 2027 — NYC
- Sep 27, 2027 – Sep 29, 2027 — NYC

## FAQ

### Is this course open to beginners?

This advanced course is intended for UX designers and graduates of the UX & UI certificate program who understand the UX process and are comfortable working independently in Figma.

### Do you offer payment plans or student financing for this course?

This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify.

### Can I take this course online (remote learning)?

No upcoming live online dates are currently available. Please contact us about future availability.

### What happens if I need to miss a session?

You have some options: You can watch a recording of the session. We will provide any course materials. Contact us to confirm whether remote attendance is available for your session. You can use your free retake to make up any missed class time.

### What’s included with my tuition?

A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement Expert instructors who are industry professionals and experienced educators that are driven to help you succeed Top-notch curricula that have been tried and tested over many cohorts and are consistently improved for an optimal learning experience A 1-year free retake policy which allows students to retake any part of the course or program for free to refresh the materials and gain additional practice 30-day access to class recordings to review material at your own pace A certificate of completion to verify your accomplishment

### Are there any additional fees or expenses?

There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us. However, if you plan to take the course live online , you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.

### Do you offer any discounts for this course?

Take this course as part of a certificate program and save: AI UX & UI Design Bootcamp Price: $4,995 | Hours: 282 Hours

## Pricing

**Tuition:** $975
