About this Program
- College: Herbert Wertheim College of Engineering
- Credits: 9 | Completed with minimum grades of C
- Student Learning Outcomes (SLOs)
Certificates must comply with the Certificate Policy.
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 students ahead of the curve when applying for internships or jobs. Students can obtain the skills needed to join the AI-trained workforce of the future.
This university-wide certificate prepares 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, students must apply before they take the second course.
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To earn the certificate, students must apply to graduate with it.
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ADMISSION CRITERIA
Junior level of any major, MAC 1147 or equivalent. Some elective courses require prerequisites which are fulfilled by the majors indicated.
REQUIRED COURSES
| Code | Title | Credits |
|---|---|---|
| EEL 3872 | Artificial Intelligence Fundamentals | 3 |
| PHI 3681 | Ethics, Data, and Technology | 3 |
| College-specific course (select one): | 3 | |
Education | ||
| Cognitive and Educational Science in AI | ||
Engineering | ||
| Biomedical Data Science | ||
| Fundamentals of Machine Learning | ||
| Interactive Modeling and Animation 1 | ||
| Introduction to Data Analytics | ||
Liberal Arts and Sciences | ||
| AI in Biology | ||
| Interactive Modeling and Animation 1 | ||
| AI in Antiquity and Today | ||
| GeoAI – Geographic Artificial Intelligence | ||
| Artificial Intelligence in the Social Sciences | ||
| Data Feminisms | ||
Agricultural and Life Sciences | ||
| AI in Agricultural and Life Sciences | ||
Business | ||
| Foundations of Business Analytics & Artificial Intelligence (AI) | ||
Design, Construction, & Planning | ||
| AI in the Built Environment | ||
Journalism and Communication | ||
| Artificial Intelligence in Media and Society | ||
Public Health and Health Professions | ||
| Higher Thinking for Healthy Humans: AI in Healthcare and Public Health | ||
| Artificial Intelligence in Psychological and Brain Sciences | ||
| Total Credits | 9 | |