Vertex Pipelines: Qwik Start(Lab)
Overview
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Pipelines help you automate and reproduce your ML workflow. Vertex AI integrates the ML offerings across Google Cloud into a seamless development experience. Previously, models trained with AutoML and custom models were accessible via separate services. Vertex AI combines both into a single API, along with other new products. Vertex AI also includes a variety of MLOps products, like Vertex Pipelines. In this lab, you will learn how to create and run ML pipelines with Vertex Pipelines.
What you'll learn
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Use the Kubeflow Pipelines SDK to build scalable ML pipelines
Create and run a 3-step intro pipeline that takes text input
Create and run a pipeline that trains, evaluates, and deploys an AutoML classification model
Use pre-built components for interacting with Vertex AI services, provided through the google_cloud_pipeline_components library
Schedule a pipeline job with Cloud Scheduler