MIS 3480 Enterprise AI and Automation 3.0 Credits
This course prepares students to lead enterprise AI transformations for competitive advantage in MIS. Students gain skills to architect, deploy, and scale AI-based systems and intelligent automation solutions using various software tools. Key topics include LLMs, autonomous AI agents, the automation lifecycle, ROI for such systems, change management, ethical AI deployment, bias mitigation, and governance frameworks that balance efficiency with human-centered design. Through hands-on projects and case studies, students develop solutions while mastering technical implementation and strategic considerations, from workforce impact assessment to scaling initiatives across organizations. Students emerge as solution architects bridging AI innovation with enterprise value creation.
Repeat Status: Not repeatable for credit
Prerequisites: MIS 200 [Min Grade: C] or MIS 2200 [Min Grade: C]