BeginnerDesigners

AI UX Design Foundations

For designers working on AI-powered products. Learn the unique UX challenges of AI, study design patterns that work, understand conversational and agentic UX, and build the skills to audit AI experiences.

4 modules19 steps~3.5 hours
0% complete0/19 steps
Path Progress: 0% (0/19 steps)
Module 1: AI UX Vocabulary0/8
Module 2: Designing for AI Trust0/6
Module 3: AI Design Tools and Workflow0/5
Module 4: Auditing AI Experiences0/5

After completing this path, you will be able to:

  • Apply AI-specific UX design patterns to your work
  • Design for trust, transparency, and appropriate user expectations
  • Evaluate AI UX quality using a structured audit framework
  • Understand conversational and agentic interaction patterns

Learning Objectives

  • Define core AI UX concepts: AI UX design, conversational UX, agentic UX
  • Understand the spectrum from copilot UX to fully autonomous agents
  • Know what makes AI interactions different from traditional UI
📖
AI UX Design
5m
📖
Conversational UX
5m
📖
AI Copilot UX
5m
📖
Agentic UX
5m
📖
AI Design Patterns
5m
📖
Human-AI Interaction
5m
✏️
15m
🏁
5m

Learning Objectives

  • Apply trust-building design patterns from successful AI products
  • Understand why designers distrust AI output and how to address it
  • Design transparency and explainability into AI features
📖
Designing for AI Trust
10m
📖
The Designer AI Trust Gap
10m
📖
Explainability (XAI)
5m
📖
Case Study: ChatGPT Conversational Design
10m
✏️
15m
🏁
5m

Learning Objectives

  • Navigate the AI design tool landscape
  • Choose the right AI tools for your design workflow
  • Understand design systems for AI products
📖
The AI Design Tool Landscape
10m
🧮
AI Design Tool Picker
8m
📖
Design Systems for AI
5m
📖
Multimodal UX
5m
🏁
5m

Learning Objectives

  • Run a structured AI UX audit
  • Score AI experiences across multiple quality dimensions
  • Identify and prioritize AI UX improvements
📖
Case Study: Figma AI
10m
🧮
AI UX Audit Scorer
10m
🧮
AI Design Readiness
8m
✏️
20m
🏁
5m