Undergraduate Certificate in Artificial Intelligence (AI): Language, Minds, and Machines In coming Fall, the UGA Institute for Artificial Intelligence will offer an Undergraduate Certificate in Artificial Intelligence - Language, Minds, and Machines - designed for students interested in the multidisciplinary development and the human context of AI. This certificate is open to students across all fields, including the arts, business, humanities, STEM disciplines, and engineering, and is particularly accessible to those with limited computing backgrounds. Unlike programs that focus solely on technical skills, this certificate emphasizes the human-centered underpinnings of AI. The program provides a solid foundation in the principles and techniques of AI, with a special focus on its connections to linguistics, philosophy, and psychology, disciplines that have played foundational roles in AI research and development. Students will learn responsible AI use, ethical implications of modern AI, and how to integrate AI into their academic and professional work. Undergraduate Certificate in Artificial Intelligence (AI): Pharmaceutical Sciences In coming Fall, the Department of Pharmaceutical and Biomedical Sciences in the College of Pharmacy, in close collaboration with the Institute for Artificial Intelligence will offer an Undergraduate Certificate in Artificial Intelligence - Pharmaceutical Sciences - designed for undergraduates interested in pharmaceutical sciences and related fields who may have limited computing background but want practical, responsible experience with AI that will strengthen their preparation for careers in pharmacy, the pharmaceutical industry, or biomedical research. This certificate will introduce undergraduates to the ways in which AI can support the discovery, testing, and safe use of medicines. It combines basic AI concepts with real examples from drug research and development. Students learn how data from laboratory studies, clinical trials, and patient care can be analyzed with AI tools to help identify promising drug candidates, understand side effects, and improve treatment decisions. Completion of each certificate requires at least 15 credit hours.
