Master UX Design for AI

Learn to define AI use cases that bridge user needs, technical capabilities, and business goals using proven frameworks

Build strategic influence by articulating clear use cases that align stakeholders and establish your role beyond UI-only contributions.

Write system prompts and behavioral specifications that encode personality, boundaries, and decision patterns teams can implement.

Translate responsible AI principles into concrete design decisions and drive cross-functional alignment on AI behavior and ethics.

Master user mental models and psychological phenomena that shape AI interactions to design systems users understand and trust.

Apply the trust ladder framework to make strategic decisions about transparency, user control, and building trustworthy AI experiences.

Design flowcharts mapping conversation paths, error recovery, and adaptive behaviors that work with probabilistic AI systems.

Develop systems thinking to understand how training data, model behavior, and interface design shape user experience holistically.

Apply decision frameworks to choose AI patterns (conversational, copilot, agentic) based on user needs, not technical capabilities.

Select appropriate modalities (text, voice, vision, multimodal) using frameworks that consider context, tasks, and user mental models.

Use decision frameworks to select prototyping tools matched to interaction patterns and build functional AI demos without coding.

Adopt iterative prototyping mindset to test behavioral specifications, mental model alignment, and trust mechanisms early.