Explore how organizations can use AI chatbots and agents to address business needs. In this introductory, hands-on course, students follow a practical decision process: Should we build it? How should it work? Can we trust it? Students assess a business opportunity and its data requirements; assign appropriate roles to generative AI, APIs, business rules, existing systems, and people, and develop a small chatbot prototype using sample organizational information. Through structured testing, students evaluate whether the prototype accomplishes its intended business purpose and assess reliability, risk, cost, and complexity. The course culminates in an evidence-based recommendation identifying whether and how the solution should move forward. Emphasis is on informed business participation and prototype evaluation; enterprise production deployment is beyond the course scope.
Number of Units: 1.0 graduate-level extension credit(s) in semester hours
Who Should Attend: Business professionals, managers, product and project leads, business analysts, consultants, and customer service or operations leaders who want to evaluate or contribute to organizational AI chatbot and agent initiatives.
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