Graduate Prerequisites: MSDT Students Only - Most organizations today -- of all sizes and stages of maturity -- are undertaking internally and externally focused digital initiatives. The success of these programs varies widely and depends on numerous strategic, tactical and technical factors; that is, active management of not only the technology but also the organizational and product development lifecycle. Accordingly, this course will delve into the mechanics of Large Language Models, including their structure and functionality. Through practical exercises students will learn to deploy these models effectively in various business contexts, from enhancing decision-making processes to optimizing operational efficiencies. We will cover integration of Language Models with cloud-based platforms such as Azure and OpenAI's APIs. A focused exploration of query optimization and prompt engineering will equip students with the skills to fine-tune AI outputs for strategic use. Ethical and social implications of the technology will also be considered. Students will apply concepts -- including agile methodologies, design thinking, user experience, and financial modeling -- to architect and execute an AI-driven business project.

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