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Google Cloud

Google Cloud is Google's public cloud computing platform, providing infrastructure, platform, and managed services for building and operating applications.

How 2 Manning books explain it

Learn Docker in a Month of Lunches, Second Edition

Google Cloud is a public cloud platform providing hosted computing, storage, networking, and application services.

How it is used
Deploys containerized jobs and web applications through Cloud Run and Artifact Registry.
How deep it goes
Walks through project setup, image publishing, deployment, execution, logging, and service verification.
Examples
Uses hello-cloud and pi-web containers as Cloud Run jobs and web services.
What you can do after
Operate Google Cloud with gcloud, publish Docker images, deploy Cloud Run workloads, and inspect their results.

Read how Learn Docker in a Month of Lunches, Second Edition explains Google Cloud →

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Google Cloud is a cloud-computing platform providing infrastructure and managed services for applications, data, and machine learning.

How it is used
Deploys trained models and applications while addressing storage, endpoints, monitoring, retraining, uptime, and access management.
How deep it goes
Works through project setup, billing, storage, interfaces, and Vertex AI deployment, while deferring advanced retraining features.
Examples
Uses a Kuala Lumpur real-estate predictor, a local web application, a storage bucket, and a Vertex AI endpoint.
What you can do after
Operate/configure a Google Cloud project, storage bucket, console, and Vertex AI endpoint for model deployment.

Read how Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI explains Google Cloud →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.