Design Effective User Experiences for AI Products is a self-paced online course built from the Wiley title of the same name.

What this course covers

ACKNOWLEDGMENTS
ABOUT THE CONTRIBUTING EDITOR
INTRODUCTION
HOW TO USE THIS BOOK
PART 1: Framing the Problem
CHAPTER 1: Case Study: How to Completely F*ck Up Your AI Project
CHAPTER 2: The Importance of Picking the Right Use Case
CHAPTER 3: Storyboarding for AI Projects
CHAPTER 4: Digital Twin—Digital Representation of the Physical Components of Your System
CHAPTER 5: Value Matrix—AI Accuracy Is Bullshit. Here’s What UX Must Do About It
PART 2: AI Design Patterns
CHAPTER 6: Case Study: What Made Sumo Copilot Successful?
CHAPTER 7: UX Best Practices for SaaS Copilot Design
CHAPTER 8: Reporting—One of the Most Important Copilot Use Cases
CHAPTER 9: LLM Design Patterns
CHAPTER 10: Search UX Revolution: LLM AI in Search UIs
CHAPTER 11: AI-Search Part 2: “Eye Meat” and DOI Sort Algorithms
CHAPTER 12: Modern Information Architecture for AI-First Applications
CHAPTER 13: Forecasting with Line Graphs
CHAPTER 14: Designing for Anomaly Detection
CHAPTER 15: UX for Agentic AI
PART 3: Research for AI Projects
Chapter 16: Case Study: MUSE/Disciplined Brainstorming
CHAPTER 17: The New Normal: AI-Inclusive User-Centered Design Process
CHAPTER 18: AI and UX Research
CHAPTER 19: RITE, the Cornerstone of Your AI Research
PART 4: Bias and Ethics
CHAPTER 20: Case Study: Asking Tough Questions Through Vision Prototyping
CHAPTER 21: All AI Is Biased
CHAPTER 22: AI Ethics
CHAPTER 23: UX Is Dead. Long Live UX for AI!