ENMGT 5406

Applications of Artificial Intelligence for Engineering Managers

Course Description

Course information provided by the 2026-2027 Catalog.

This course will investigate the practice of artificial intelligence to solve technical problems, increase efficiency and productivity, and improve systems. While theory is covered, emphasis is placed on the practical applications of these concepts and the use of existing AI tools by engineering managers. The course is a mix of theory and hands on practical work with a focus on assembling and using a modern AI toolchain to empower engineers and engineering managers. Throughout the course, students will engage in hands-on projects, working with industry-standard tools and frameworks. The goal is to equip engineers with the skills and knowledge needed to leverage AI effectively.

Prerequisites ENMGT 5405.

Enrollment Information Enrollment limited to: graduate and professional students; others by permission of department.

Last 4 Terms Offered 2026SP, 2025SP

Learning Outcomes

• Be able to describe the basics of neural networks and artificial intelligence.
• Describe key concepts related to all generative models.
• Be able to describe issues surrounding AI, such as ethics and alignment.
• Competently use modern AI libraries, tools and services.
• Develop a portfolio of hands-on tools and Colab notebooks for a variety of ML tasks.

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