AI-Powered UX: Design the Future, Human-First
The Complete AI Integration Course for UX Designers and Researchers
Limited to 10 seats per cohort
Trusted by professionals at leading organizations
Who This Course Is For
UX Designers & Researchers
2+ years of professional experience
Looking to integrate AI into UX workflows
Want to future-proof their career
Design Team Leaders
Managers and directors of design teams
Seeking to implement AI across design processes
Want to drive innovation in their organization
Prerequisites:2+ years of professional UX experience or demonstrated solid understanding of UX design process
The AI Revolution in UX Is Here
UX designers already use AI to accelerate workUX Magazine, 2024
Of organizations now use generative AI for designMcKinsey & Company, 2024
Of UX skills will change by 2030 due to AIWorld Economic Forum, 2024
Expected growth in AI service revenue by 2030Fortune Business Insights, 2023
Career Impact of AI Skills for UX Designers
Salary increase for workers with AI skillsUniversity of Oxford
More job opportunities with AI UX skillsIndustry Analysis
Complete Program: Four Key Outcomes
Most AI-UX courses teach skills without deliverables. This program gives you practical skills, strategic positioning, AND a portfolio project—interview-ready at graduation.
1. Master UX Workflow Optimization (Weeks 1-3)
Integrate AI into your daily UX workflows:
- •Research synthesis: Hours → Minutes
- •Design variations: Days → Hours
- •AI-powered ideation & prototyping
Result: 3-10X productivity gains you can apply Monday morning
2. Design AI-Native Products (Week 4)
Design AI products strategically, not just use AI tools:
- •Conversation flows & voice interfaces
- •Probabilistic systems (not just deterministic)
- •User mental models for AI experiences
Result: Qualify for AI-UX specialist roles (40% salary premium)
3. Workflow Automation & Agentic Systems (Week 5)
Build intelligent systems that work for you:
- •Automate repetitive UX tasks with AI workflows
- •Build systems for research synthesis & testing
- •Balance automation with human judgment
Result: Eliminate hours of manual work weekly
4. Ship Portfolio-Ready Work (Throughout + Week 6)
Complete a production-quality portfolio project:
- •Work on your project weekly with expert guidance
- •Present and polish in Week 6 based on feedback
- •Complete case study from ideation to delivery
Result: Interview-ready portfolio project at graduation
Curriculum
Week 1
AI Fundamentals for UX
- Understanding AI capabilities and limitations in UX contexts
- Ethical considerations for AI-enhanced design
- Setting up your AI toolkit for UX workflows
Week 2
Research & Discovery with AI
- AI-powered user research methods
- Pattern recognition in qualitative data
- Automating competitive analysis
Practical focus: Cut research time by 75%
Week 3
Ideation & Prototyping with AI
- AI collaboration for concept generation
- Rapid prototyping with AI assistance
- Testing AI-generated design solutions
Practical focus: Generate design variations 10X faster
Week 4
Designing AI-Native Products
- Designing conversations and voice interfaces
- Visual systems for AI interactions
- User expectations and mental models for AI
Strategic focus: Design AI products, not just use AI tools
Week 5
Workflow Automation & Agentic Systems
- Automate repetitive UX tasks with AI workflows
- Build systems for research synthesis, content generation, testing
- Balance automation with human judgment
Practical focus: Eliminate hours of manual work weekly
Week 6
Portfolio Project Showcase & Next Steps
- Present your complete portfolio project for critique
- Polish based on feedback for job applications
- Receive personalized AI-UX roadmap
Format & Time Commitment
Our program is designed to fit into your busy schedule while providing maximum learning value.
100% Live Sessions—Not Pre-Recorded
Real-time demos, live Q&A, and collaborative problem-solving. Get immediate answers and learn alongside your cohort—no watching alone at 2x speed.
120-Min Weekly Live Sessions
Live instruction, real-time demos, and hands-on exercises with immediate feedback
Peer-to-Peer Learning
60-90 minute collaborative sessions to build meaningful connections
AI-Native Portfolio Project
Build interview-ready AI-native project with weekly live feedback. Complete at graduation—not months later.
Personalized Coaching
30-minute weekly check-ins for personalized feedback
Total Weekly Commitment: 5-7 hours
Your Instructor
Danny Setiawan
Design Executive & AI-UX Integration Instructor
Danny Setiawan is a design executive with over 20 years of experience in UX/Product Design. His diverse experience includes leadership roles at The Economist, where he transformed their mobile strategy, and Yahoo! Finance, where he helped shape the user experience for millions of users. Danny has been at the forefront of integrating AI tools into UX workflows, pioneering the use of various GenAI tools to improve efficiency in research, prototyping, and content creation processes.
Have questions?Book a 15-minute chat with Danny to discuss your goals and see if you're a good fit.Book a 15-Minute Chat
Graduates Share Their Experience
" I feel like I have a superpower" - Chloe C, Cohort Spring 25
"AI really can't do everything. It's great for certain scenarios, but it just reinforces what you were telling us that we are the drivers. AI is not going to replace us." - Suyen S, Cohort Spring '25
"I felt like even after the 1st class, I learned things that I was able to apply on the job immediately." - Caitlyn B, Cohort Spring '25
"Now that I know how much time I can save using AI, I know that we could start testing this in half the amount of time" - Lisa D., Cohort Spring '25
"[After] taking this class… you'll feel much more confident about yourself, about what you'll be able to do, about staying relevant in your field." - Jason G., Cohort Spring '25
"What used to take me a few weeks now takes a couple of hours." - Sara S., Cohort Summer '25
Portfolio Project Showcase
Investment
$1990
Early bird price: $1490
Next cohort starts on Tuesday, 6 January, 2026
Max 10 people per cohort
As part of the application process, your UX Experience will be verified through LinkedIn or brief conversation
Money-Back GuaranteeFull refund available within 7 days of your first class if the course doesn't meet your expectations.
Full refund available within 7 days of your first class if the course doesn't meet your expectations.
Get Your Company to Pay
Get a ready-to-use email template to request company reimbursement.
Certificate of Completion
Earn a LinkedIn-shareable certificate that showcases your AI-UX expertise.
How This Course Compares
See how our focused, hands-on approach compares to other AI in UX courses
Course Feature | This Course | Stanford | MIT | NN Group | IxDF | Elvtr |
|---|---|---|---|---|---|---|
| Format | Live cohort-based Weekly live sessions | Self-paced with optional webinars | Self-paced with scheduled cohorts | Self-paced pre-recorded | Self-paced pre-recorded | Mixed |
| Class Size | Limited to 10 | 100+ | 100+ | Unlimited | Unlimited | 30-50 |
| Personalization | 1:1 feedback & small group work | Limited to forum feedback | Limited to forum feedback | None | None | Limited |
| Focus | Practical workflow integration | Theoretical & academic | Theoretical with case studies | Guidelines & principles | General UX principles | Mixed |
| Project Work | Weekly applied projects | Case studies only | Final project only | Optional exercises | Optional quizzes | Limited |
| Time Investment | 5-7 hours weekly | 10-15 hours weekly | 8-12 hours weekly | Self-paced (10+ hours total) | Self-paced (15+ hours total) | Varies |
| Investment | $1990 | $1,500+ | $2,000+ | $1,200+ | $150/year | $1,800+ |
| Specific AI Tools | Current industry tools with hands-on practice | Conceptual overview | Limited coverage | General principles | Not covered | Basic tools |
| Curriculum Updates | Every cohort (2025 tools & trends) | Annually or less | Annually or less | Infrequent | Rarely | Varies |
Frequently Asked Questions
Ready to Level Up?
Join 20 fellow UX professionals in this immersive 6-week journey to master practical AI integration.