MKTG570
Download as PDF
MKTG570 - Generative AI for Market Insight and Strategies
Course Description
The course is divided into three modules. In the Algorithms module, we cover the principles of Generative AI and Large Language Models (LLMs). We discuss the concepts associated with transformers, including the basic building blocks. We also cover the popular transformers (BERT, GPT, and T5). In the Prompt Engineering module, we cover various prompting techniques for optimal content generation such as Chain of Thought, RGC, and Reverse prompting, among others. In the Applications and Strategic considerations of Generative AI module, we apply prompting to a real-world business scenario. Moreover, we cover topics such as Generative AI and innovation, customer support, and review mining.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed)
Enrollment Requirements
019498
Cross Listed Courses
Name
Lecture
Workload Hours
3
Optional Component
No
Typically Offered Main Campus
Fall, Spring
Typically Offered Distance Campus
Not Offered
Typically Offered UA Online Campus
Not Offered
Typically Offered Phoenix Campus
Not Offered
Typically Offered South Campus
Not Offered
Typically Offered Community Campus
Not Offered