Applied Artificial Intelligence for Technical Teams
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.
Topics
- 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.
- Understand skills, model context protocol, parallelization, sub agents and other emerging approaches.
- Develop an overall framework for developing and deploying AI solutions.
Official roster learning outcomes
Prerequisites & course information
MATH 2940; AEM 2840 or ENMGT 3101 or ENMGT 3102 or ENMGT 5102 or CEE3101 or CEE 3102 or CS 1110 or CS1133 or HADM 3710 or NBA 6215 or STSCI 4060.
Sources
- Course catalogue ↗2026-2027