Earn an Undergraduate AI Certificate in AI Fundamentals and Applications
Enroll in UF’s artificial intelligence certificate program where all undergraduate students, regardless of major, can learn how to apply artificial intelligence in their discipline. No background in computer programming, engineering or data science is needed. Pursuing courses in AI can put you ahead of the curve when applying for internships or jobs. Obtain the skills you need to join the AI-trained workforce of the future.
This university-wide certificate will prepare students to understand the fundamentals of artificial intelligence, its applications to real-world problems in various disciplines, and ethical and professional responsibilities of these technologies. The certificate consists of two required courses, a fundamental course and an AI ethics course. After completing those, students take a third elective course in the application of ethics in their discipline. Students learn how to use AI and apply them to maximize efficiency or solve problems within their discipline.
To obtain this certificate, you must apply through the link above and before you take the second course. To earn the certificate, you must apply to graduate with it.
Admission criteria: Junior level of any major, MAC 1147 or equivalent. Some of the elective courses require prerequisites, which are fulfilled by the majors indicated.
Required Courses: 6 Credits
EEL 3872: Artificial Intelligence Fundamentals (3)
Overview of Artificial Intelligence (AI), approaching the concept from its origins to expectations for the future; focuses on various AI technologies, how to build Machine Learning models, and how to apply AI tools to solve real world problems. Some concepts are types of AI and Machine Learning, Hacking and the IoT, AI today and its outlook for the future.
PHI 3681: Ethics, Data and Technology (3)
Addresses ethical issues related to data science, algorithmic decision-making, and artificial intelligence. Pairs theoretical discussions of ethics, economics, and policy making with concrete issues in emerging technologies.
College Specific Courses: 3 Credits
- Engineering
BME 4760 Biomedical Data Science (3)
EEE 4773 Fundamentals of Machine Learning (3)
CAP 3032 Interactive Modeling and Animation 1 (3)
ESI 4610 Introduction to Data Analytics (3)- Liberal Arts and Sciences
CAP 3032 Interactive Modeling and Animation 1 (3)
GIS 4123C GEOAI – Geographic Artificial Intelligence (3)- Agricultural and Life Sciences
ALS 3200c AI in Agricultural and Life Sciences (3)
- Business
QMB 3302 Foundations of Business Analytics and Artificial Intelligence (3)
- Design, Construction and Planning
DCP 4300 AI in the Built Environment (3)
- Journalism
JOU 3365 Artificial Intelligence in Media and Society (3)