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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750 résultats
  1. Atelier Sélection

    Using BigQuery Omni with AWS

    In this lab, you will run BigQuery analytics on data stored in AWS S3 using BigQuery Omni.

  2. Atelier Sélection

    BigLake: Qwik Start

    In this lab, you will learn how to implement BigLake tables.

  3. Atelier Sélection

    A Tour of Google Cloud Sustainability

    In this hands-on lab, you will learn why Google Cloud is the cleanest cloud in the industry by exploring and utilizing sustainability tools..

  4. Atelier Sélection

    Develop No-Code Chat Apps with AppSheet

    In this lab, you'll use AppSheet to create a no-code app for Google Chat.

  5. Atelier Sélection

    Enhancing Google Cloud Network Security

    Advancing your Google Cloud network security with VM-Series, Cloud IDS, and XSOAR.

  6. Atelier Sélection

    Accelerating Analytical Queries using the AlloyDB Columnar Engine

    In this lab, you explore features of the AlloyDB Columnar Engine.

  7. Atelier Sélection

    Migrating to AlloyDB from PostgreSQL Using PostgreSQL Tools

    In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to AlloyDB for PostgreSQL using native PostgreSQL tools.

  8. Atelier Sélection

    Interacting with Vault Policies

    In this hands-on lab, you will learn to write and use Vault Policies.

  9. Atelier Sélection

    Understand, Explore, and Visualize a Time Series Dataset

    In this lab you will learn how to load, explore, visualize, and pre-process a time-series dataset.

  10. Atelier Sélection

    Introduction to Convolutions with TensorFlow

    A convolution is a filter that passes over an image, processes it, and extracts features that show a commonality in the image. In this lab you'll see how they work, and try processing an image to extract features from it!