In this module, you will explore how generative AI can streamline and enhance UX research—from data collection to insight generation. You'll use AI tools to create targeted surveys and structured interview guides aligned with research goals. Through hands-on practice, you'll analyze qualitative data, identify patterns, and organize insights using AI-powered clustering techniques such as affinity mapping. You'll also generate empathy maps, personas, and customer journey maps from user feedback, learning how AI turns raw interview inputs into meaningful visual artifacts that capture user needs, behaviors, and pain points.

In this module, you will learn to transform ideas into high-impact wireframes, prototypes, and conversational interfaces using generative AI. You'll use text-to-design tools and prompt libraries to turn user stories and functional requirements into precise, interactive screen layouts. Through hands-on labs, you'll apply AI-generated suggestions to improve responsiveness and maintain visual consistency across devices. You will also learn how to quickly transform text prompts into interactive UI prototypes using AI tools, streamlining design iteration and cross-functional collaboration. You'll also design chatbot flows and simulate conversations by structuring prompts with empathy, intent, and context—essential elements for creating human-centered conversational UX.

In this final module, you will apply your learning through a final project on an AI-powered e-commerce checkout process. The module includes a course glossary to reinforce key terminology and concepts. You will also attempt a final exam to assess your overall mastery of the concepts learned in this course. The course concludes with a wrap-up that summarizes key takeaways and guides you on how to apply your learning in professional design workflows and future AI-enhanced projects.