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ML Lifecycle, Deployment, And Operations
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Modules
3 total
Pipeline-Oriented Model Lifecycle
Build a training pipeline from reusable components with data flow and caching.
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2Online And Batch Inference
Deploy a model to a managed online endpoint with autoscaling and traffic routing.
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3Progressive Rollout And Troubleshooting
Implement a progressive rollout using traffic splitting across deployments.
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