MLOps
/em el ɒps/
Definition
Machine Learning Operations — combining ML development with DevOps practices for reliable model deployment and monitoring.
Example in context
"MLOps pipeline: train → evaluate → register → deploy → monitor for drift — automated end to end in Kubeflow."
Related terms
Practice this term
Master MLOps in context by working through exercises in the Data Science & ML module. You'll see the term used in real engineering scenarios with multiple-choice, fill-in-the-blank, and matching drills.