The University of Michigan's statistics department pioneered an accessible deep learning course for non-CS majors, overcoming foundational math hurdles through iterative teaching innovations. Its evolution now includes cutting-edge modules like machine olfaction, where students collect smell data, highlighting the challenges and potential of AI beyond traditional domains. This model offers a blueprint for expanding critical AI literacy across diverse academic disciplines.