What is MLOps?
Production
MLOps — The practice of deploying, monitoring, and maintaining machine learning models in production. Combines ML engineering, DevOps, and data engineering to create reliable, scalable AI systems.
FAQ
What is MLOps?
The practice of reliably deploying and maintaining ML models in production. It covers CI/CD for ML, monitoring, retraining, and infrastructure.
MLOps vs DevOps?
MLOps extends DevOps with ML-specific concerns: data versioning, experiment tracking, model registries, and drift detection.
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