Discover Google Cloud training your way

With 980+ learning activities to choose from, Google Cloud has designed our comprehensive catalog with you in mind. The catalog consists of a variety of activity formats for you to pick from. Choose from bite-size individual labs or multi-module courses that consist of videos, documents, labs, and quizzes. Our labs give you temporary credentials to actual cloud resources, so you can learn Google Cloud using the real thing. Earn badges for what you complete, define, track, and measure your success with Google Cloud!

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779 results
  1. 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.

  2. 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

  3. 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.

  4. 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…

  5. 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.

  6. Lab Featured

    Design Conversational Flows for your Agent

    Contact Center AI can increase customer satisfaction and operational efficiency by improving call deflection rates, and achieve shorter handling, while making overall operations faster and more effective. In this lab, you'll learn how to use Dialogflow to create a conversational interface.

  7. 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.

  8. 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.

  9. 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.

  10. Lab Featured

    Cloud Logging on Kubernetes Engine

    In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.