ENMGT 5405

ENMGT 5405

Course information provided by the 2026-2027 Catalog.

The efficient and effective use of artificial intelligence tools is becoming a requirement in business. This class introduces you to concepts and tools required to productively use AI, and manage teams of people who do. It introduces concepts, methods and tools required to be an effective AI user in a technical, data driven organization. There is a focus on process automation and AI as a team member / co-worker, skills which are applicable to any operating environment. In addition to presenting an overall picture of AI and teaching qualitative aspects of the role, the course emphasizes specific approaches and tools which can be safely, ethically and securely used in the workplace.


Prerequisites Students should have a working knowledge of Python, linear algebra, and basic (differential) calculus.

Last 4 Terms Offered (None)

Learning Outcomes

  • Leverage foundation and reasoning models effectively to achieve engineering and business outcomes
  • Recognize the key components of AI to achieve business outcomes and be able to work with AI systems as ‘co-team members.
  • Develop knowledge of workflows and AI solution engineering in order to be effective in the workplace.
  • Develop knowledge of workflows and AI solution engineering in order to be effective in the workplace.
  • Understand skills, model context protocol, parallelization, sub agents and other emerging approaches.
  • Develop an overall framework for developing and deploying AI solutions.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ENMGT 4405

  • 3 Credits Opt NoAud

  • 18397 ENMGT 5405   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Swart, D

  • Instruction Mode: In Person

    Students should have a working knowledge of Python, linear algebra, and basic (differential) calculus.

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  • 18629 ENMGT 5405   LEC 002

    • Aug 24 - Dec 7, 2026
    • Swart, D

  • Instruction Mode: Distance Learning-Asynchronous