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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752 results
  1. Lab Featured

    Set up a SIEM forwarder for Windows on Docker

    In this lab, you configure a SIEM forwarder on a Windows VM using a standard Docker image. You use labels to add searchable metadata to the logs to optimize analytical capabilities.

  2. Lab Featured

    Online Data Migration to Cloud Spanner using Striim

    In this lab you will learn how to migrate a Cloud SQL for MySQL database to Cloud Spanner using Google Cloud's data migration partner, Striim.

  3. Lab Featured

    Build and Configure an Integration using Application Integration

    Learn the core concepts, functionalities, and best practices of Application Integration

  4. Lab Featured

    Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

    In this lab you will use Google Cloud services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.

  5. Lab Featured

    Deploying Spanner Applications with Cloud Functions and Cloud Run

    In this lab, you write applications that utilize Spanner databases, and deploy them to both Cloud Functions and Cloud Run. You also install, configure, and enable the Spanner emulator for use in development environments.

  6. Lab Featured

    Machine Learning with Spark on Google Cloud Dataproc

    In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset

  7. Lab Featured

    Modernizing Applications with Apigee X

    In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…

  8. Lab Featured

    GKE Backup and Restore

    GKE cluster backup and restore

  9. Lab Featured

    Creating a Gmail Add-on

    In this hands-on lab you create a Gmail Add-on that allows you to quickly change the labels of an email thread.

  10. Lab Featured

    Predict Baby Weight with TensorFlow on Vertex AI

    In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.