University of Florida
Undergraduate Certificate in AI Fundamentals and Applications
How this program compares
Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.
Admission Snapshot
Typical admitted student: High school diploma or equivalent with a minimum GPA; basic math and programming background recommended but not required for entry-level undergraduates.
About This Program
This 9-credit university-wide certificate is open to undergraduates of all majors, providing a foundation in AI fundamentals and its practical applications to real-world problems in diverse disciplines.
Career Outcomes
Build ai applications skills to advance as AI Engineer in Cross-Industry AI
- 1. AI Analyst
- 2. Machine Learning Engineer (entry-level)
- 3. Data Scientist
- 4. AI Applications Developer
What You'll Learn
- Core AI concepts and historical development
- Machine learning algorithms and model evaluation
- Data processing and visualization for AI applications
- Practical implementation of AI tools in Python
Curriculum Highlights
The program requires three courses: one in AI fundamentals, one in ethics, and a college-specific elective that focuses on AI applications in fields like biology, business, or movement sciences.
Top Employers
Top employers include tech companies like Google, Microsoft, Amazon, and consulting firms specializing in AI solutions.
Admissions
High school diploma or equivalent with a minimum GPA; basic math and programming background recommended but not required for entry-level undergraduates.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: None (undergraduate certificate)
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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