Vertex AI Pipelines and ML Artifacts Guide
Vertex AI Pipelines help turn machine learning steps into repeatable workflows. Instead of manually running data preparation, training, evaluation, and deployment, a pipeline defines the steps and orchestrates them. This guide explains the basics of pipelines and ML artifacts for beginners. Quick Answer Use Vertex AI Pipelines when your ML workflow needs to be repeatable, trackable, and easier to productionize. A pipeline is made of components, and each component can produce artifacts such as datasets, metrics, models, containers, and metadata. ...