Artificial Intelligence and Machine Learning for Engineering Applications (Certificate)

Program Information

All courses must be passed with a “C-” (1.7) or better to be counted in the certificate.
Students must earn a minimum overall GPA of 2.0 to be awarded the certificate.
This program requires the completion of MATH 1210 - Calculus I . Students who are not prepared for this math course may need additional math credits/preparation, which may affect time to graduation. Please consult your Student Success Advisor for more information.

This certificate program may be completed independently and does not require enrollment in or completion of any degree program to be awarded.

Complete one of the following:

Proficiency in AI and ML Applications in Engineering: Upon completion of the program, students will demonstrate a proficient understanding of artificial intelligence and machine learning concepts, methodologies, and tools, enabling them to apply these skills effectively in engineering contexts such as machine learning algorithms, computer vision techniques, and predictive maintenance utilizing AI technologies.
Problem-Solving and Critical Thinking: Graduates will exhibit advanced problem-solving abilities and critical thinking skills within the realm of AI and ML in engineering. They will be capable of analyzing complex engineering challenges, formulating innovative AI-based solutions, and evaluating the efficacy of these solutions in real-world scenarios.
Collaboration and Interdisciplinary Competence: Students completing the program will showcase competence in interdisciplinary collaboration, being able to communicate and work effectively with professionals from diverse fields. This outcome will empower graduates to contribute meaningfully to multidisciplinary teams, driving innovation in engineering projects that incorporate AI and ML applications.