Vertex AI Pipelines is Google Cloud's managed orchestrator for ML workflows. You define a directed acyclic graph (DAG) of containerized components — data ingestion, preprocessing, training, evaluation, deployment — using the Kubeflow Pipelines (KFP) SDK or TFX, then submit it to Vertex AI which runs each step on managed infrastructure with full metadata tracking. It bridges the gap between notebook experiments and production ML systems: every run is versioned, every artifact is lineage-tracked, and outputs cache so iterating on a single step doesn't re-run the whole pipeline.