Vertex AI TensorBoard custom training with prebuilt container: Notebook

In this tutorial, you learn how to create a custom training job using prebuilt containers, and monitor your training process on Vertex AI TensorBoard in near real time.

This tutorial uses the following Cloud de Confiance by S3NS ML services and resources:

  • Gemini Enterprise Agent Platform training
  • Vertex AI TensorBoard

The steps performed include:

  • Set up a service account and Cloud Storage buckets.
  • Write your customized training code.
  • Package and upload your training code to Cloud Storage.
  • Create and launch your custom training job with Vertex AI TensorBoard enabled for near real time monitoring.

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