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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1186 results
  1. Lab Featured

    Get Started with Dataplex: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Get Started with Dataplex quest. You should be familiar with the content of labs before attempting this lab.

  2. Lab Featured

    Introduction to SQL for BigQuery and Cloud SQL

    In this lab, you learn fundamental SQL clauses and get hands-on practice running structured queries on BigQuery and Cloud SQL.

  3. Lab Featured

    Looker Functions and Operators

    In this lab, you will learn how to use Looker to pivot dimensions, reorder columns, remove fields, and use table calculations.

  4. Lab Featured

    TensorFlow: Qwik Start

    In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

  5. Lab Featured

    Secure BigLake Data: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Secure BigLake Data quest. You should be familiar with the content of labs before attempting this lab.

  6. Lab Featured

    Getting Started with the Vertex AI Gemini API with cURL

    In this lab, you will learn how to use the Vertex AI Gemini API with cURL commands to interact with the Gemini models.

  7. Lab Featured

    Modularizing LookML Code with Extends

    In this lab, you learn how to modularize LookML code with Extends.

  8. Lab Featured

    APIs Explorer: Create and Update a Cluster

    In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.

  9. Lab Featured

    Validating Policies for Terraform on Google Cloud

    In this lab, you will learn how to validate policies for Terraform.

  10. Lab Featured

    App Dev: Storing Application Data in Cloud Datastore - Python

    In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.