Class Number: 1653
Description: Hours: Three hours lecture per week
Description: This course emphasizes practical applications and tools in the realm of Generative Artificial Intelligence (AI) and Large Language Models. Students will grasp foundational concepts, architectures for GAI and LLMs. Prompt engineering for both textual and visual content generation will be studied. Learn how to harness the power of Large Language Models for business analytics. Delve into the ethical landscape, exploring potential risks and safeguards associated with Generative AI in a business context. Critically analyzing real-world case studies to shed light on the practical challenges and benefits of generative AI in today's dynamic business environment.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| W | 06:30 PM - 09:30 PM | 01/24/2026 - 05/22/2026 | Online | Minder Chen |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 01/24/2026
End Date: 05/22/2026
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 19
Available Seats: 6
Wait List Capacity: 15
Wait List Total: 0
Enrollment Information
- Graduate Division
- Online Synchronous
Notes
- Prerequisite course required. Consult CSUCI Catalog