01How do AI, machine learning, deep learning and generative AI relate to each other?
02What is the single most useful mental model for what these tools actually do?
03Which two model families will a designer use most day-to-day, and what does each make?
04Which task sits firmly on AI's 'green list' — where it genuinely earns its keep?
05Why is a confidently-stated but wrong AI answer (a 'hallucination') so dangerous in design?
06The course's core rule for trusting AI safely is to treat it as:
07Across a project's six stages, where does AI add the MOST value?
08What does being truly 'AI-first' as a practice actually mean?
