A practical course on using generative AI (LLMs, AI agents, image- and code-generation tools) in everyday UX/UI research and design work. Participants learn to optimize their process and design Copilot-style intelligent assistants.
An overview of current large language models (LLMs) and image-generation tools, and how they support the design process.
Advanced prompting techniques. Using AI to speed up discovery, generate research hypotheses and analyze data.
Generating personas, user scenarios and variants of interfaces and information structures with diffusion models and LLMs.
Principles for designing Copilot-style assistants and chat/conversational interfaces (CUI). Building trust and transparency for end users.
Building your own AI agents in tools like Zapier and Make.com. Using AI to generate synthetic test data.
Copyright issues, model hallucinations, algorithmic bias and the future of the job market for designers.