Course Schedule and Catalog
Course Schedule - Spring Semester 2027
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
MGMT 675 002 (CRN: 26795)
AGENTIC AI: PERS & ENTERPRISE
Long Title: AGENTIC AI: PERSONAL AND ENTERPRISE
Department: Management
Instructor: Back, Kerry
Meeting: 6:15PM - 9:30PM W (18-JAN-2027 - 14-MAR-2027)
Part of Term: MBA H
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 1.5
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Program(s):
MBA Hybrid
MBA for Professional Extended
MBA for Professionals
MBA for Professional Weekend
MBA - Executive Program
MBA
Must be enrolled in one of the following Level(s):
Graduate
Graduate Quadmester
Section Max Enrollment: 65
Section Enrolled: 0
Enrollment data as of: 2-NOV-2026 1:38AM
Final Exam: GR Course-Dept Schedules Exam
Description: This course is about working with agentic AI on your own tasks and putting it to work inside an organization. It opens with what a large language model actually does, how the current models differ, and how to get dependable results from them on data and documents. It then turns to the machinery underneath — the tools and harnesses an agent runs on, what a sandbox does and does not contain, and the instructions that persist from one session to the next — and to customizing that machinery with skills and plugins you write and distribute. The later weeks build and evaluate AI-enabled software, ground it in your own documents through retrieval and fine-tuning, and end with the work that has to stay in-house: running models on your own hardware and de-identifying data before it goes anywhere else.