Offered in fall and spring semesters. See LionPATH for scheduling details.
ETI 200 is the second course in the Enterprise AI sequence, focused on designing and planning AI-powered solutions within an enterprise environment.
Building on the foundational concepts from ETI 100, students work in teams to define enterprise problems, conduct user and stakeholder analysis, and design functional AI prototypes. The course emphasizes problem analysis, AI use case design, and enterprise architecture, introducing concepts like data pipelines and responsible AI. ETI 200 lays essential groundwork for ETI 400: Delivering AI for the Enterprise. Emphasis is placed on enterprise architecture alignment, ethical AI design, and building a compelling business case for prototype adoption.
