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Unclaimed ProfileThis course teaches designers to fix common AI UX failures verbose, unreliable, generic AI responses and confusing "ping-pong" prompt loops through concrete design patterns rather than theory. It covers context engineering, agentic AI guardrails, building trust and confidence in AI outputs, prioritizing impactful AI features, and setting up AI-friendly design systems. It includes 12 live sessions, hundreds of real-life case study examples, hands-on tasks, video recordings, templates, and a certificate of completion.
About the creator
Vitaly Friedman
View full profileDesign & UX Education · Berlin, Germany
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Vitaly Friedman is a Senior UX Lead currently working with the European Parliament, and founder/editor-in-chief of Smashing Magazine since 2006. Based in Berlin, Germany, he's published around 600 UX articles, spoken at 500+ conferences worldwide, and taught 45,000+ designers practical UX skills for companies including Zalando, OTTO, Axel Springer, and REWE Digital.
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Prioritizing which AI features are worth building
- Increasing user trust and confidence in AI output
- Designing safe guardrails for agentic AI features
- Building context engineering into your product design
- Applying proven design patterns for AI interfaces
- Diagnosing why AI features have poor adoption rates
Best For
- Teams launching or scaling AI products
- Interface designers wanting AI-specific skills
- UX leads designing AI experiences
- Product designers building AI features
Not For
- People unable to attend live sessions
- Those wanting purely theoretical content
- Engineers wanting technical AI/ML training
- Complete beginners to product design
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