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

    BigQuery: Qwik Start - Command Line

    This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

  2. Atelier Sélection

    Improving Network Performance I

    In this lab, you'll work on practical elements of performance testing, with an eye to improving network bandwidth in your environment by using different core sizes and internal vs. external networks.

  3. Atelier Sélection

    Using Specialized Processors with Document AI (Python)

    In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.

  4. Atelier Sélection

    Analyze Images with the Cloud Vision API: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Analyze Images with the Cloud Vision API quest. You should be familiar with the content of labs before attempting this lab.

  5. Atelier Sélection

    Examining BigQuery Billing Data in Google Sheets

    Use Google Workspace Connected Sheets to harness the power of BigQuery. Connected Sheets lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.

  6. Atelier Sélection

    Exploring NCAA Data with BigQuery

    Use BigQuery to explore the NCAA dataset of basketball games, teams, and players. The data covers plays from 2009 and scores from 1996. Watch How the NCAA is using Google Cloud to tap into decades of sports data.

  7. Atelier Sélection

    Create and Test a Document AI Processor

    Learn how to to create and use document processors using the Document AI API.

  8. Atelier Sélection

    Merging Results from Different Explores in Looker

    In this lab, you will merge results from different explores in Looker.

  9. Atelier Sélection

    Analyze Sentiment with Natural Language API: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Analyze Sentiment with Natural Language API quest. You should be familiar with the content of labs before attempting this lab.

  10. Atelier Sélection

    Infrastructure as Code with Terraform

    In this lab, you will explore how terraform can be used to create, manage, and destroy Google Cloud resources.