Learn AI design principles to create user-centered, trustworthy, and effective AI experiences.
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UX Researcher
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4.4
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Advanced
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Course certificate
Shareable & industry-recognized
AI is transforming digital products, but the real challenge is not the technology. It is still about solving the puzzle of human behavior and needs.
This course teaches you how to design AI experiences that meet real user needs. Whether you are a designer, product manager, developer, or researcher, you will learn what makes AI valuable instead of just impressive.
AI learns, adapts, and makes probabilistic decisions. AI sometimes makes mistakes, and this forces us to rethink how we design. You will explore methods for building trust, handling uncertainty, and making AI behavior clear to users.
Through practical frameworks and examples, you will learn when AI creates value and when simpler solutions are more effective. You will design feedback systems, create mental models that help users, and build products that keep humans in control.
The curriculum covers key areas such as assessing user needs, defining success metrics, designing transparent interactions, and managing errors in a graceful way. You will also discover how to guide AI so it develops responsibly and continues to serve users.
From chatbots and assistants to recommendations and predictions, the principles you will gain apply across AI products. By understanding both the strengths and the limits of AI, you will design experiences that support human abilities and earn user trust.
Certificate of completion
English language
Learn on iOS or Android
Online at your own pace
Last updated
February 25, 2026
Understand AI capabilities
Learn when AI adds unique value versus when simpler solutions work better for users.
Design trustworthy AI systems
Master techniques for building appropriate user trust through transparency and explanations.
Create adaptive experiences
Design for systems that learn and change over time while maintaining user understanding.
Handle AI uncertainty gracefully
Develop strategies for managing errors, low confidence, and edge cases in AI products.
Product Designers
Learn to design AI experiences that are transparent and trustworthy so users feel in control, not confused.
Product Managers
Identify where AI adds genuine value in your product and where simpler solutions would serve users better.
UX Researchers
Understand how users build mental models of AI so you can research and test AI experiences more effectively.
12
lessons
4
tests
Certificate of completion
Level 1.
User Needs and AI Value
Level Test
progress through course
Level 2.
Mental Models and Explanations
Level Test
progress through course
Level 3.
Feedback and Adaptation
Level Test
progress through course
Level 4.
Errors and Trust Calibration
Level Test
progress through course
or
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Human-Centered AI
UX Researcher
at
How does AI think—and how can we design for it? And what does “good UX” mean in an AI-first world?
I help people bridge the gap between human intuition and machine intelligence. Whether you're a UX designer curious about AI, or an AI builder who wants to get UX right, my work is all about making that intersection more human, more intentional, and more impactful.
Over the past 7 years at Google, I led user research for Flights and Hotels, diving deep into how people make decisions in complex, high-stakes moments. Along the way, I also contributed chapters and case studies to the People + AI Guidebook that Google launched in 2019.
I’ve taught these principles to UX designers at Spotify in New York, to fellow Googlers in Zurich, and at design conferences like IxDA in Milan. My goal is always the same: to help teams move beyond buzzwords and build AI products that actually work for people.
Stay tuned for my new UXcel courses and workshops where design meets deep tech.
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