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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716 results

  1. Lab Featured

    Using BigQuery Omni with AWS

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

  2. Lab Featured

    BigLake: Qwik Start

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

  3. Lab Featured

    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. Lab Featured

    Develop No-Code Chat Apps with AppSheet

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

  5. Lab Featured

    Integrate Private Service Connect with Service Directory

    This lab demonstrates how to integrate PSC and Service Directory.

  6. Lab Featured

    Monitoring GKE with Datadog

    In this lab, you will learn how to Monitor GKE with Datadog.

  7. Lab Featured

    Deploying a Multi-Cluster Gateway Across GKE Clusters

    Learn how to enable, use, and deploy the multi-cluster Google Kubernetes Engine (GKE) Gateway controller

  8. Lab Featured

    Analyzing Movie Posters in BigQuery with Remote Models

    In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini AI models) to Analyze Movie Posters. BigQuery Machine Learning for inference lets you create and run machine learning (ML) models by using GoogleSQL queries.

  9. Lab Featured

    Dialogflow CX: Bot Building Basics

    Build a conversational agent using Dialogflow CX

  10. Lab Featured

    Safeguarding with Vertex AI Gemini API

    In this lab, you learn how to inspect the safety ratings returned from the Vertex AI Gemini API and how to set a safety threshold to filter responses.