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mlopspl πŸ› οΈπŸ”„πŸš€ : E2E MLOps Vertex AI Pipelines # ML workflow # Kubeflow Pipelines SDK # Cloud Scheduler

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mlopspl πŸ› οΈπŸ”„πŸš€

mlopspl : E2E MLOps Vertex AI Pipelines # ML workflow # Kubeflow Pipelines SDK # Cloud Scheduler

Objective

Use the Kubeflow Pipelines SDK to build scalable ML pipelines
Create & run a 3-step intro pipeline that takes text input
  - Create & run emoji pipeline
Create & run pipeline that trains, evaluates & deploys an AutoML classification model
  - Build, run & get metadata for an end-to-end ML pipeline on Vertex AI Pipelines
Use pre-built components for interacting with Vertex AI services, provided through the google_cloud_pipeline_components library
Schedule pipeline job with Cloud Scheduler

End-to-End MLOPS Vertex AI Pipelines

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mlopspl πŸ› οΈπŸ”„πŸš€ : E2E MLOps Vertex AI Pipelines # ML workflow # Kubeflow Pipelines SDK # Cloud Scheduler

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