GCP Vertex AI ML Pipeline
End-to-end machine learning pipeline with Cloud Storage and BigQuery for training data, Data Labeling Service for annotation, Vertex AI Training and AutoML for model development, Model Registry for versioning, Vertex AI Endpoints for serving, and Cloud Functions for the inference API.
gcp · architecture diagram.
End-to-end machine learning pipeline with Cloud Storage and BigQuery for training data, Data Labeling Service for annotation, Vertex AI Training and AutoML for model development, Model Registry for versioning, Vertex AI Endpoints for serving, and Cloud Functions for the inference API.
Created by
February 8, 2026
Updated
March 28, 2026 at 4:44 PM
Type
architecture
Describe your architecture in plain English and get a production-ready Draw.io diagram in seconds. Works for AWS, Azure, GCP, Kubernetes, and more.
