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Strayer University 4.5 credits Information Systems
The course challenges students to design and implement a comprehensive enterprise agentic system with a strong focus on observability and measurable business impact. Students will deploy AI Agents with observability, Key Performance Indicators (KPI) benchmarking, and Return on Investment (ROI) dashboards. The capstone emphasizes real-world application, demonstrating operational performance and ROI in an enterprise scenario. This course is available only to students enrolled in the Master of Science in Information Systems: Agentic AI Systems Engineering concentration. Corequisites: CIS 549. Course Residency Requirement: This course must be taken as last or next-to-last class; it is not eligible for transfer credit and must be taken at Strayer University.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
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