The Graduate Certificate in Artificial Intelligence in Learning bridges the gap between learning theory and AI use in educational contexts. There is substantial demand for educators and learning professionals skilled in using AI to enhance learning opportunities, yet few programs focus on the theoretical foundations of learning with an intentional focus on AI. This certificate is designed to meet this need by equipping educators, instructional designers, learning experience designers, corporate trainers, educational technologists, and entrepreneurs with the theoretical foundations of learning and instructional theories needed to truly harness the power of AI. Students have an opportunity to apply learning principles using generative AI to create unique and innovative learning opportunities that can be applied across K-12, higher education, corporate training and development, educational technology, and entrepreneurial ventures.
The program's approach focuses on learning theories, memory, the development of expertise, and instructional theory with hands-on application of generative AI. This framework enables graduates to design, implement, and evaluate AI-driven learning solutions that are both effective, theoretically sound, and grounded in best practices from learning research.
Complete all courses and requirements listed below unless otherwise indicated.
Required Courses
Course List | Code | Title | Hours |
| EDU 6609 | How People Learn | 3 |
| EDU 7815 | Learning and AI: Theory, Ethics, Implementation | 3 |
| 6 |
| Data Literacy | |
| Experiential Learning Theory and Practice | |
| |
Program Credit/GPA Requirements
12 total semester hours required
Minimum 3.000 GPA required
