Design AI Products

Designing for artificial intelligence introduces unique challenges that traditional static UI/UX methodologies cannot solve. Created by Anton Voroniuk, the "Design AI Products" course addresses the shifting paradigm from deterministic interfaces to probabilistic, dynamic systems. This comprehensive program is tailored for intermediate UX/UI designers, product managers, and systems architects who want to master the complexities of designing with unpredictable model behaviors, generative outputs, and adaptive user interfaces. Throughout the course, learners will dive into practical workflows for mapping user intent, crafting behavioral diagrams, and establishing trust curves that prevent both user overtrust and undertrust. Rather than treating AI hallucinations and model drift as backend technical bugs, you will learn to design frontend guardrails, clarity mechanisms, and elegant fallback patterns. The curriculum also emphasizes crucial collaboration techniques between designers and machine learning engineers, ensuring you can speak the language of confidence scores, training constraints, and system rules. By the end of this training, you will be equipped to run AI-in-the-loop usability tests, prototype complex generative components, and build transparent, highly ethical AI products that users can confidently rely on.