What You'll Learn
- How AI systems behave in real-world conditions and why unpredictability is a core design constraint, not a flaw.
- How to map user intent, system states, and model behaviors using behavioral diagrams and trust curves.
- How to prototype adaptive, generative, and variable outputs in a way that accurately reflects real AI behavior.
- How to run AI-in-the-loop usability tests to observe trust signals, confusion patterns, confidence levels, and retry behavior.
- How to evaluate and guide AI responses with UX-driven guardrails, constraints, and clarity requirements.
- How to collaborate effectively with engineers around model limitations, confidence scores, system rules, and safe outputs.
- How to design for overtrust, hallucinations, ambiguity, and long-term model drift.
- How to build AI interfaces that feel transparent, predictable enough, and genuinely helpful for users.
Requirements
- A foundational understanding of UX or product design.
- Basic familiarity with prototyping tools (Figma is recommended, but not mandatory).
- Curiosity about generative AI — you don’t need a technical background or coding knowledge.
Who This Course is For
- Product designers who want to confidently design AI features.
- UX/UI designers transitioning into AI work or modernizing their skill set.
- Design leads who need frameworks for responsible AI decision-making.
- Product managers working with AI-driven roadmaps.
- Anyone curious about designing interfaces for unpredictable, dynamic systems.
Your Instructor
Anton Voroniuk
GenAI Expert, trusted by 1,000,000+ Students
4.4 Instructor Rating
52,610 Reviews
1,084,547 Students
167 Courses
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