This session demonstrates how generative AI can support course design when embedded within a backwards‑design workflow. Rather than isolated prompting, faculty will learn to use AI iteratively to align objectives, assessments, and course activities. Participants will gain repeatable, model‑agnostic workflows for using Gen AI to augment design while preserving faculty voice and pedagogical intent.
UMBC's Faculty Development Center is co-sponsoring this workshop, facilitated by John Schumacher, Professor of Sociology, Anthropology and Public Health and a USM Generative AI Pedagogy Fellow for 2025-26. This workshop is a condensed version of The AI-Assisted Educator: A Course Design Sprint offered in January 2026.