Course Description
This course focuses on the engineering practices needed to deploy, monitor, and maintain machine learning systems in production environments. Students learn the complete MLOps pipeline from model development through deployment, monitoring, and continuous improvement. Topics include containerization, orchestration, A/B testing, model versioning, data drift detection, and automated retraining pipelines.
College/School
Willamette College
Locations
Salem
Offering Cycle, by Year
Even Years
Offering Cycle, by Semester
Spring Semester
Credit Hours Min
4
Prerequisites
Complete course, or have instructor consent.