3 units
- Other Elective Courses
- Areas of Study
Offered: Summer 2027 (not offered), Spring 2027 (offered), Fall 2026 (unknown)
Counts toward
- Artificial Intelligence and Technology, M.S. (2026-27) - Other Elective Courses
- Computer Science, M.S. (2026-27) - Areas of Study
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.
Prerequisites
Graduate standing and CS 450 or CS 549 or consent of the instructor
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See the full prerequisite chainFrom the catalog
- Who can take it
- Graduate standing and CS 450 or CS 549 or consent of the instructor
- Grading
- LTR: Letter Graded. The class will be offered for letter grade with no option to take it for Cr/NC
- Typically offered
- Fall