Easiest Programming Languages to Learn for Front-End Development
November 29, 2023
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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
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Only available on desktop
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.
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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In Projects, you'll complete an activity or scenario by following a set of instructions in an interactive hands-on environment. Projects are completed in a real cloud environment and within real instances of various products as opposed to a simulation or demo environment.
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