University of Iowa 3 credits BAIS
Introduction to basics of generative artificial intelligence (AI) models and their practical applications. Key concepts include modal representation and generative models, scalability aspects of these models, and implementation techniques such as pretraining, finetuning, and prompt engineering. Emphasizes hands-on skills, including how to work with pretrained models, evaluate performance, and ensure alignment with goals. Business case studies will help students apply AI responsibly and set realistic expectations for its use. Ethical issues, privacy concerns, and the regulatory landscape will be discussed to prepare students for challenges of using AI in real-world settings. Prerequisites: (MBA:8150 or BAIS:9100) and BAIS:6040 and BAIS:6070 and BAIS:6250. Requirements: Students in the full-time on-campus MS in business analytics program may complete BAIS:6250 as a co-requisite. Online professional students must complete BAIS:6250 as a prerequisite.
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