The rapid integration of artificial intelligence into higher education has created an urgent and widespread need for course redesign, yet most institutions lack the time, funding, and staffing to support faculty at scale. This presentation introduces a structured, AI-assisted course redesign protocol developed at the Yale School of Public Health to address this gap. Designed to be completed in a single two-hour sitting, the protocol guides faculty through a ten-step process that audits learning objectives, assesses AI substitution risk at the assessment level, redesigns for process visibility, authentic student thinking, optional AI integration, and generates ready-to-use syllabus language — all without altering the fundamental nature or intent of the course. Early piloting with YSPH faculty has yielded consistently positive responses, with participants reporting renewed confidence and inspiration around assessment redesign. Attendees will leave with a replicable framework they can adapt and deploy at their own institutions.
