Become a cloud expert with hands-on training.
We give you temporary credentials to Google Cloud Platform and Amazon Web Services, so you can learn the cloud using the real thing – no simulations. From 30-minute individual labs to multi-day courses, from introductory level to expert, instructor-led or self-paced, with topics like machine learning, security, infrastructure, app dev, and more, we've got you covered.
极光加速器2025版
极光加速器2025版
In this introductory-level Quest, you will get hands-on practice with Google Cloud’s fundamental tools and services. Getting Started: Create and Manage Cloud Resources is the recommended first Quest for the Google Cloud learner - you will come in with little or no prior cloud knowledge, and come out with practical experience that you can apply to your first Google Cloud project. From writing Cloud Shell commands and deploying your first virtual machine, to running applications on Kubernetes Engine or with load balancing, Getting Started: Create and Manage Cloud Resources is a prime introduction to the basic features of Google Cloud. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge. 1-minute videos walk you through key concepts for each lab.
极光加速器2025版
Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas and Qwiklabs has you covered with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge. Want extra help? 1-minute videos walk you through key concepts for each lab.
Perform Foundational Infrastructure Tasks in Google Cloud
If you are a novice cloud developer looking for hands-on practice beyond Getting Started - Create and Manage Cloud Resources, this quest is for you. You will get practical experience through labs that dive into Cloud Storage and other key application services like Stackdriver and Cloud Functions. By taking this quest, you will develop valuable skills that are applicable to any Google Cloud initiative. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge. 1-minute videos walk you through key concepts for these labs.
Set up and Configure a Cloud Environment in Google Cloud
This fundamental-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Associate Cloud Engineer Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
Deploy and Manage Cloud Environments with Google Cloud
This fundamental-level quest is unique amongst the other Qwiklabs offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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A Tour of Qwiklabs and Google Cloud
In this first hands-on lab you will access Qwiklabs and the Google Cloud Platform Console and use the basic GCP features: Projects, Resources, IAM Users, Roles, Permissions, APIs, and Cloud Shell.
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.
Getting Started with Cloud Shell & gcloud
In this hands-on lab you will learn how to connect to computing resources hosted on Google Cloud Platform via the web. You will also learn how to use Cloud Shell and the Cloud SDK gcloud command. For a preview, watch the short video Get Started with Cloud Shell, GCP Essentials.
Kubernetes Engine: Qwik Start
Google Kubernetes Engine provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. This hands-on lab shows you how deploy a containerized application with Kubernetes Engine. Watch the short video Manage Containerized Apps with Kubernetes Engine.
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In this lab you will learn how to leverage Apigee to transparently migrate application traffic from legacy backends to GCP-backed systems.
Deploy and Manage an Elastifile Cloud File System with Terraform
This lab demonstrates how to deploy and manage an Elastifile Cloud File System (ECFS) cluster on Google Cloud Platform (GCP) with Terraform. With Terraform, you can deploy an initial Elastifile cluster, add storage capacity to the cluster, remove storage nodes, and finally, delete the cluster.
Programming Amazon SQS and Amazon SNS with .NET
This lab will provide a basic understanding of using the AWS Toolkit for .NET. It will demonstrate the basic steps required to install Visual Studio Community Edition and the AWS Toolkit for Visual Studio and to run a simple console application in C# using the AWS SDK for .NET. To successfully complete this lab, you should be familiar with Visual Studio for C# and have a basic knowledge of launching and connecting to Windows systems in AWS.
Hardening Default GKE Cluster Configurations
This lab demonstrates some of the security concerns of a default GKE cluster configuration and the corresponding hardening measures to prevent multiple paths of pod escape and cluster privilege escalation
Learning TensorFlow: the Hello World of Machine Learning
In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.
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This lab teaches you about Amazon DynamoDB by walking you through how to create, query, view and delete a table in the AWS Management Console.
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Infrastructure & DevOps
Implement, deploy, migrate and maintain applications in the cloud.
Websites & App Dev
For software engineers who develop applications in the cloud.
Big Data
Design, build, analyze, and optimize big data solutions.
Machine Learning
Write distributed machine learning models that scale.
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Stay compliant and protect information, data applications and infrastructure.