Vertex AI: Qwik Start

In this Project, you will:

Train a TensorFlow model locally in a hosted Vertex Notebook and create a managed Tabular dataset artifact for experiment tracking

Containerize your training code with Cloud Build and push it to Google Cloud Artifact Registry

Run a Vertex AI custom training job with your custom model container and use Vertex TensorBoard to visualize model performance

Deploy trained model to a Vertex Online Prediction Endpoint for serving predictions, request an online prediction & explanation and see the response

1.5 hours
Intermediate
No download needed
Shareable certificate
English
Desktop only

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.

Skills you will develop

  • Tensorflow

  • Bigquery

  • Data Analysis

  • Google Cloud Platform

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Learn a new tool or skill in an interactive, hands-on environment

You'll gain access to software and tools in a cloud workspace - no download required

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Google Cloud

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