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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Lab Featured Uptraining with Document AI Workbench
In this lab, you will will create an Invoice Parser processor, configure the processor for uptraining, label example documents, and uptrain the processor.
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Lab Featured Configure Device Settings for Users on ChromeOS
In this lab, you'll configure device settings for Users on ChromeOS.
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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.
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Lab Featured Building Batch Pipelines in Cloud Data Fusion
This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…
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Lab Featured Build and Configure an Integration using Application Integration
Learn the core concepts, functionalities, and best practices of Application Integration
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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.
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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
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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…
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Lab Featured Manage Multi-cluster Workloads at Scale with GKE Fleets and Teams
Provision and manage infrastructure resources for different teams with GKE Enterprise's fleet team management features