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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697 results

  1. Lab Featured

    BigQuery Soccer Data Analytical Insight

    Learn how to create deeper analytical insights from soccer event data using BigQuery.

  2. Lab Featured

    Arcade Hero: Enter the Artifact Registry Python

    Arcade Hero: Artifact Registry Level One

  3. Lab Featured

    BigQuery Soccer Data Ingestion

    Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.

  4. Lab Featured

    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.

  5. Lab Featured

    Arcade Hero: Enter the Artifact Registry NPM

    Arcade Hero: Artifact Registry Level One

  6. Lab Featured

    Create a role in Google Cloud IAM

    Create a custom role and grant access to a user.

  7. Lab Featured

    Use reports to remediate findings

    Remediate threats detailed in a management report

  8. Lab Featured

    Speech to Text Transcription with the Cloud Speech API

    The Cloud Speech API lets you do speech to text transcription from audio files in over 80 languages. In this hands-on lab you’ll record your own audio file and send it to the Speech API for transcription.

  9. Lab Featured

    App Engine: Qwik Start - Go

    This hands-on lab shows you how to create a small App Engine application that displays a short message. Watch the short video Build Apps at Scale with Google App Engine.

  10. Lab Featured

    BigQuery Machine Learning using Soccer Data

    Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.