The article provides a comprehensive guide to implementing an automated MLOps pipeline using Kubeflow, covering all stages from data gathering to model deployment on GCP Vertex AI. It includes detaile
d code implementations for each pipeline component with proper error handling and evaluation mechanisms.
Reasons to Read -- Learn:
how to build a production-grade MLOps pipeline using Kubeflow, with complete code examples for each component from data processing to model deployment
how to implement automated model evaluation and conditional deployment logic, ensuring only models meeting specific performance thresholds are deployed
how to integrate ML models with Google Cloud Platform's Vertex AI, including proper model registration, versioning, and deployment practices
publisher: @buskey14
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