Core
CI/CD for Models
Model CI/CD looks like code CI/CD but ships data, weights, and prompts together, and its merge gate is an eval suite against a golden set, not a passing unit test. The pipeline trains, evaluates, registers, soaks in shadow or canary, then promotes, with every input versioned so any release is reproducible.
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MLOps & ML EngineeringHow is CI/CD for ML models different from traditional DevOps CI/CD? →easy · FreeMLOps & ML EngineeringHow did you ensure quality and testing on top of your MLOps pipeline? →medium · FreeSystem Design & Production EngineeringHow do you version and roll out prompt changes like code, review, canary, rollback, audit? →medium · Free with sign-inMachine Learning & Data ScienceDesign the path from a notebook pilot to a production ML system at a customer, end to end. →hard · PremiumSystem Design & Production EngineeringIt's Friday evening at a customer site and they want a hotfix shipped now. How do you do it safely, and when do you refuse? →easy · FreeMLOps & ML EngineeringWhat's the difference between shadow deployment and A/B testing a model? →easy · Free