Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU CS 651 — MLOps

3.00 units 1 enrollment option

MLOps life cycle, data versioning, reproducibility, continuous integration and delivery for ML pipelines, monitoring and model drift detection, scalability, ethical considerations, model retraining, model evaluation, automation, hands-on experience with modern MLOps tools and frameworks.

Course requirements

Prerequisites: Graduate standing and CS 450 or CS 549 or consent of the instructor

Graduate standing and CS 450 or CS 549 or consent of the instructor

Spring 2027 enrollment options

Seat status can change

Class #	Format	Status	Seats	Time	Location	Professor	RateMyProfessors
11524 Lrg Lect	In person	Open	0 / 65	Tue/Thu 7:00 PM–8:15 PM	AL 105	Ben Shen	4.3/5 · 55 reviews Difficulty 3.9 · 84% take again

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