INFS 6375 Applied Generative Artificial Intelligence for Business Analytics

This course covers the fundamentals of generative AI theory and applications, such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), while emphasizing hands-on experience in deploying these models in real-world business scenarios. Students will gain expertise in using state-of-the-art frameworks and tools to generate text, images, and other media, while also learning how to fine-tune and optimize these models for specific business tasks such as content generation, personalization, automation, and creative augmentation.

Credits

3

Prerequisite

INFS 6351 or INFS 6359 or INFS 6370 or QUMT 6350.

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

Department of Information Systems

Offered

Spring