Vertex AI TensorBoard integration with Gemini Enterprise Agent Platform Pipelines: Notebook
Stay organized with collections
Save and categorize content based on your preferences.
In this tutorial, you'll learn how to create a training pipeline using the KFP
SDK, execute the pipeline in Gemini Enterprise Agent Platform Pipelines, and monitor your
training process on Vertex AI TensorBoard in near real time.
This tutorial uses the following Google Cloud ML services and resources:
Gemini Enterprise Agent Platform training
Vertex AI TensorBoard
Gemini Enterprise Agent Platform Pipelines
The steps performed include:
Setup a service account and Cloud Storage buckets.
Construct a Kubeflow Pipelines (KPT) with your custom training code.
Compile and execute the KFP pipeline in Gemini Enterprise Agent Platform Pipelines with
Vertex AI TensorBoard enabled for near real time monitoring.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-27 UTC."],[],[]]