Master modern AI product design with real workflows, ethical principles, and practical tools.
Sub Category
- Design Tools
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Objectives
- 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.
Pre Requisites
- 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.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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