This lab provides a hands-on introduction to vertex pipelines.

You’ll begin by using the Kubeflow Pipelines SDK to build scalable ML pipelines.

Next, you’ll create and run a 3-step intro pipeline that takes text input.

Then you’ll create and run a pipeline that trains, evaluates and deploys an AutoML classification model.

Next you’ll use prebuilt components for interacting with Vertex AI Services, provided through the google_cloud_pipeline_components library.

Finally you’ll schedule a pipeline job with Cloud Scheduler.