Arizona State University Ira A. Fulton Schools of Engineering 3 courses 9 total credits
AI and machine learning are transforming industries by enabling systems to learn, adapt and make data-driven decisions. This graduate-level microcertificate program provides a rigorous foundation in the principles and applications of AI and machine learning, preparing you to design and implement intelligent solutions for complex problems. The curriculum emphasizes both theoretical understanding and practical skills, covering topics such as supervised and unsupervised learning, deep learning architectures, natural language processing, and predictive analytics. You gain experience applying algorithms to real-world datasets, optimizing models for performance, and leveraging AI techniques for emerging technologies. You learn how to: apply AI techniques to areas such as computer vision, language processing and decision systems develop and deploy machine learning models for diverse applications evaluate and improve model accuracy, scalability and ethical considerations in AI GI Bill® benefitsThis new program is not yet approved for use with GI Bill® benefits. GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/.
| Required Core | 9 credits |
| Total Credits | 9 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| CSE 571 | Artificial Intelligence | 3 |
| CSE 575 | Statistical Machine Learning | 3 |
| CSE 579 | Knowledge Representation and Reasoning | 3 |
| Total Required Core | 9 credits | |
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