GCP Ai Platform Custom Job
A GCP AI Platform Custom Job (now part of Vertex AI) represents an ad-hoc training workload that you configure yourself.
Instead of using a predefined training routine, you supply a Docker container or Python package, specify the required compute resources, and Vertex AI spins up the infrastructure, runs the job, streams logs to Cloud Logging and stores any model artefacts in Cloud Storage.
Custom Jobs are the building blocks behind higher-level training pipelines and are often created implicitly by Vertex AI Pipelines, but they can also be launched directly through the REST/JSON API, gcloud CLI or the Cloud Console.
Official documentation: https://cloud.google.com/vertex-ai/docs/training/custom-training
Supported Methods​
GET: Get a gcp-ai-platform-custom-job by its "name"LIST: List all gcp-ai-platform-custom-jobSEARCH