Google's MLOps maturity levels (0-2) — what are they?
mediumAnswer
- Level 0: manual ML process — data scientist trains + hands off to eng for deploy.
- Slow, error-prone, no automation.
- Level 1: automated ML pipeline — orchestrator retrains automatically, monitors, but manual model deployment.
- Level 2: CI/CD for ML pipelines — code changes trigger pipeline builds + tests + deploys; new models continuously deployed to production.
- Most organizations: Level 0 or 1; Level 2 rare + hard.
Check yourself — multiple choice
- Random
- L0 manual (DS trains, hands off); L1 automated retrain pipeline + monitor + manual deploy; L2 CI/CD for pipelines + code changes trigger builds+tests+deploys; most orgs L0/L1, L2 rare
- Just levels
- Not real
Google MLOps: L0 manual, L1 auto pipeline, L2 CI/CD for pipelines.
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