This portfolio includes AI Systems, Applied Deep Learning, Applied Machine Learning, Applied Machine Learning II, and Mathematical Foundations for Data Science II. Course designs combine transparent learning pathways, Jupyter laboratories, model evaluation, public poster sessions, guest experts, and reflection on responsible technical decisions.
Graduate AI and Data Science Education
