Post-Baccalaureate Certificate in Artificial Intelligence and Machine Learning Foundations
Certificate Level: Graduate
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 9.0
Classification of Instructional Program (CIP) Code: 11.0701
Standard Occupational Classification (SOC) Code: 15-0000
About the Program
The Artificial Intelligence and Machine Learning Foundations certificate explores the fundamentals and application of artificial intelligence and machine learning. It provides a strong foundation in these fields, with a focus on mathematical foundations, algorithms, tools, and applications as they pertain to artificial intelligence and machine learning. Students gain competency in fundamental methods and techniques in artificial intelligence and machine learning. Their fundamental understanding is applied to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools, and platforms.
Admissions Requirements
Same as Drexel admission requirements.
Program Requirements
| Required Courses | ||
| CS 5510 | Principles of Artificial Intelligence | 3.0 |
| CS 5520 | Fundamental Machine Learning | 3.0 |
| Select one of the following courses: | 3.0 | |
| Reinforcement Learning | ||
| Equity and Explainability in Machine Learning | ||
| Foundations of Deep Learning | ||
| Natural Language Processing | ||
| Modern AI Application Development | ||
| Applications of Artificial Intelligence | ||
| Total Credits | 9.0 | |
Additional Information
For more information about this program, please contact the School of Computer and Information Sciences