Temple University 3 credits MIS
This management-centric course focuses on the strategic design, operational governance, and risk management of autonomous AI agents utilizing modern LLM-based architectures (e.g., ReAct, AutoGen). Students will move beyond simple coding to understand and manage the logic (Reasoning), actions (Acting), and memory of agents. Through low-code/no-code practical exercises and case studies, the course prepares non-technical leaders to evaluate an agent's business case, determine optimal Human-in-the-Loop (HITL) strategies, establish robust ModelOps processes, and effectively communicate the strategic risks and value of agent systems to executive leadership.
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