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Certification

Certification in Designing, Prototyping, and Testing AI Product UX/UI

Get certified in AI Product Design: prove you can turn ambiguity into product decisions, embed AI into workflows, design safeguards for uncertainty, and ship intuitive chat, canvas, and voice experiences that drive adoption and measurable impact.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate

The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Introduction1:52
  2. 02Background at Google2:27
  3. 03AI in Google Search2:00
  4. 04Designing image and video for AI3:25
  5. 05The AI image expander lesson6:21
  6. 06Safeguards and human-in-the-loop2:23
  7. 07A 3-step AI design process13:01
  8. 08Interlude: building AI product skills1:56
  9. 09Designing AI voice interfaces5:00
  10. 10Designing beyond chat3:27
  11. 11AI design tools2:57
  12. 12Live design: LinkedIn for AI12:15
  13. 13Google Maps redesign story7:10
  14. 14Google Maps India landmarks5:55
  15. 15Wrap-up2:39
About the course

The AI Product Design Course: UX/UI, Case Studies, Best Practices (Video Course) certification teaches you to design AI products that feel effortless, safe, and adopted at scale. You'll gain skills that drive Increased Productivity, Competitive Advantage, Improved Decision-Making, Higher Income Potential, and a Future-Proof Career through Adaptability and Growth. Enroll to turn ambiguity into clear decisions, bake AI into real workflows, manage uncertainty with safeguards, and build beyond chat with canvas and voice-based co-creation.

This certification covers the following topics:

  • Foundations: Timeless Product Design in the Age of AI
  • The Three-Step AI Product Design Process: Define, Design, Build
  • The Core Challenge of AI UX: Designing for Non-Determinism
  • Mapping the User Workflow: Where AI Actually Helps
  • Design Patterns for AI Uncertainty
  • Bias, Safety, and Unintended Consequences
  • Principles in Practice: Case Studies That Translate to Your Roadmap
  • Beyond Chat: Designing Non-Linear, Multimodal Experiences
  • Voice Design: From Literal Readers to Conversational Partners
  • Canvas Design: Co-Creation Without Losing the Plot
  • Metrics and Evaluation: What "Good" Looks Like in AI UX
  • Security, Privacy, and Governance

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.