Description

This course surveys recent groundbreaking techniques in generative AI (e.g., generative adversarial networks, variational autoencoders, transformer models, etc.) and strategies for utilizing natural language in prompt engineering to support data scientists.

Lecture Hours: 2.00 Lab Hours: 2.00Total Hours: 3.00

Semesters

Spring 2026 Semester
Course Title Instructor Campus Section Syllabus
Generative AI for Data Scient Md Shirajum Munir, Ph.D. Distance E01 external Syllabus via Concourse External Resource