Computer Science · Spring 2027
SDSU CS 651 — MLOps
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 |