On-demand activities

Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.

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1187 résultats
  1. Atelier Sélection

    Configure Device Settings for Users on ChromeOS

    In this lab, you'll configure device settings for Users on ChromeOS.

  2. Atelier Sélection

    Secure Software Supply Chain: Create and Use Cloud Workstations

    In this lab, you will use Cloud Workstations to create a workstation configuration and launch a new workstation instance from that configuration.

  3. Atelier Sélection

    Building Batch Pipelines in Cloud Data Fusion

    This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…

  4. Atelier Sélection

    Online Data Migration to Cloud Spanner using Striim

    In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

  5. Atelier Sélection

    Build and Configure an Integration using Application Integration

    Learn the core concepts, functionalities, and best practices of Application Integration

  6. Atelier Sélection

    Create a report in Looker Studio

    Use Looker Studio to build a report.

  7. Atelier Sélection

    Manage a partitioned table in BigQuery

    Manage a partitioned table and use filters to reduce data examined in BigQuery

  8. Atelier Sélection

    Collect, process, and store data in BigQuery

    Create and import data in BigQuery

  9. Atelier Sélection

    Machine Learning with Spark on Google Cloud Dataproc

    In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

  10. Atelier Sélection

    Modernizing Applications with Apigee X

    In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…