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 Google Drive: Getting Started
Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs.
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Lab Featured Loading Your Own Data into BigQuery
This lab teaches you how to ingest data from a CSV file into tables in BigQuery.
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Lab Featured Get Started with Looker: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Get Started with Looker quest. You should be familiar with the content of the labs before attempting this lab.
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Lab Featured Google Cloud Packet Mirroring with OpenSource IDS
This lab demonstrates a common enterprise use case for Google Cloud's Packet Mirroring in conjunction with an Open Source Intrusion Detection System.
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Lab Featured Vertex AI PaLM API: Qwik Start
Use Generative AI Studio to create prompts and conversations
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Lab Featured Creating a Virtual Machine
In this hands-on lab, you’ll learn how to create a Google Compute Engine virtual machine and understand zones, regions, and machine types. To preview, watch the short video Create a Virtual Machine, GCP Essentials.
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Lab Featured Distributed Load Testing Using Kubernetes
Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
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Lab Featured Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh
In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.
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Lab Featured Cloud Monitoring: Qwik Start
This lab shows you how to monitor a Compute Engine virtual machine (VM) instance with Cloud Monitoring.
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Lab Featured Running a Containerized App on Google Kubernetes Engine
Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on premise hardware. This lab provides a quick introduction to running a website on Google Container Engine using Docker.