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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1214 results
  1. Lab Featured

    Configuring IAM Permissions with gCloud - Azure

    In this lab introduces you will use the gcloud CLI tool to set up and configure command features of Cloud Identity and Access Management.

  2. Lab Featured

    HTTPS Content-Based Load Balancer with Terraform

    This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.

  3. Lab Featured

    Explore and Create Reports with Looker Studio

    In this lab, you learn how to connect Looker Studio to Google BigQuery data tables, create charts, and explore the relationships between dimensions and measures.

  4. Lab Featured

    Responding to Cloud Logging Messages with Cloud Functions

    In this lab you will learn how to use Cloud Functions to do lightweight processing of Cloud Logging messages

  5. Lab Featured

    Process Documents with Python Using the Document AI API

    Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.

  6. Lab Featured

    Identify Application Vulnerabilities with Security Command Center

    In this lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.

  7. Lab Featured

    Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictio…

  8. Lab Featured

    Hosting a Web App on Google Cloud Using Compute Engine - Azure

    In this lab, you will deploy and scale a Web App on Google Compute Engine.

  9. Lab Featured

    Create an Internal Load Balancer

    In this lab, you create two managed instance groups in the same region. Then, you configure an Internal Load Balancer with the instances groups as the backends.

  10. Lab Featured

    Store, Process, and Manage Data on Google Cloud: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud course. You should be familiar with the content of labs before attempting this lab.