Self Paced - Master UX Design for AI
What You'll Learn
- Choosing text, voice, or multimodal interfaces
- Mapping conversation paths and error recovery
- Applying a trust ladder for AI transparency
- Understanding how users build AI mental models
- Defining AI use cases for stakeholder influence
- Vibe coding an AI tool from scratch
Best For
- Designers wanting on-brand, trusted AI UI
- Those repositioning into strategic AI design
- Design leaders building AI-ready teams
- Experienced designers shipping AI features
Not For
- Junior designers with no UX background
- People wanting coding-heavy technical training
- Those wanting only live cohort format
- Complete beginners to design fundamentals
FAQ
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About the creator
Rupa Chaturvedi
View full profileDesign Education · San Diego Metropolitan Area, California
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Rupa Chaturvedi is a product design leader with over 20 years of experience, including 12 years building AI products at Amazon (Alexa), Google, and Uber. Based in the San Diego Metropolitan Area, she holds an MS in Product Design from Stanford University, where she's also an Adjunct Lecturer, and founded the Human Centered AI Institute after earning 20+ patents in AI, AR, and computer vision technologies.
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Reviews, Scores & Student Outcomes
Unclaimed ProfileMXDAI is built for experienced designers feeling AI shift the ground under their work, those who can generate a UI quickly with tools like Claude or Lovable but struggle to make it on-brand, trustworthy, and strategically defensible. It covers technical AI foundations, framing AI use cases for stakeholder influence, understanding user mental models and trust, system-level AI interaction design, and prototyping working AI without code, culminating in a portfolio-ready capstone project.
Ratings & reviews
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