Certificate in Artificial Intelligence and Machine Learning Applications
The Certificate in Artificial Intelligence and Machine Learning Applications is an interdisciplinary program designed to provide students from all academic backgrounds with a solid foundation in the principles, techniques, and applications of Artificial Intelligence (AI). This program aims to equip students with the knowledge and skills necessary to understand, apply, and critically evaluate AI technologies in their respective fields. The key features of the program include:
- Foundational courses: Introduction to AI, Machine Learning basics, and Ethics in AI.
- Practical skills: Hands-on experience with AI tools, programming languages, and frameworks.
- Interdisciplinary approach: Exploration of AI applications across various domains such as business, healthcare, social sciences, and the arts.
- Cutting-edge topics: Coverage of emerging AI technologies like deep learning, natural language processing, and computer vision.
This certificate program is ideal for students who want to complement their major with AI expertise, enhancing their career prospects in an increasingly AI-driven world. Upon completion, students will be well-prepared to leverage AI technologies in their chosen professions or pursue advanced studies in AI-related fields.
Certificates may be earned by regularly matriculated or extended learning students and denote successful completion of a prescribed program of study designed to:
- impart specified professional/vocational/career competencies; or
- produce mastery of the content of a sub-field of an academic major (discipline); or
- provide exposure to the range of materials in a traditional or emerging interdisciplinary field.
Certain certificate programs contain 6000-level courses as requirements and/or electives. These 6000-level courses may not be taken by undergraduate students. Candidates must receive two-thirds of their certificate-applicable credit from the university. The transferring of credit or the substitution of courses may occur only after application to the appropriate campus authority.
Certificate Requirements (30)
| Required Courses (24) | ||
| CSE 2010 | Computer Science I | 4 |
| CSE 2020 | Computer Science II | 4 |
| MATH 2210 | Calculus I | 4 |
| MATH 2265 | Statistics with Applications | 3 |
| MATH 2372 | Discrete Mathematics | 3 |
| CSE 5120 | Introduction to Artificial Intelligence | 3 |
| CSE 5160 | Machine Learning | 3 |
| Electives (6) | ||
| Choose two specialized AI topics from the following list: | 6 | |
| Generative AI and Applications | ||
| Reinforcement Learning | ||
| Deep Learning | ||
| Natural Language Processing | ||
| Database Systems | ||
| Total Units | 30 | |