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.
Introduction to Serverless: Firebase Development
Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!
Insights from Data with BigQuery
Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Complete this quest, including the challenge lab at the end, to receive an exclusive Google Cloud digital badge.
Build and Secure Networks in Google Cloud
Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This fundamental-level quest will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Networking in the Google Cloud will give you the practical experience needed so you can start building robust networks right away. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!
Introduction to Serverless: Cloud Run Development
Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. Complete this quest including the the challenge lab at the end to receive an exclusive Google Cloud digital badge. The challenge lab does not provide prescriptive steps, but require solutions to be built with minimal guidance and will put your Google Cloud technology skills to the test!
Perform Foundational Data, ML, and AI Tasks in Google Cloud
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 Cloud Monitoring 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.
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.
AI Platform: Qwik Start
In this lab you train and deploy a TensorFlow model to AI Platform for serving (prediction). Watch these short videos Harness the Power of Machine Learning with AI Platform and AI Platform: Qwik Start - Qwiklabs Preview.
Predict Housing Prices with Tensorflow and AI Platform
In this lab you will build an end to end machine learning solution using Tensorflow + AI Platform and leverage the cloud for distributed training and online prediction.
Build a BigQuery Processing Pipeline with Events for Cloud Run for Anthos
The BigQuery processing pipeline queries a public COVID-19 dataset on a schedule, creates charts from the data, then notifies users about the new charts via SendGrid with Events for Cloud Run on GKE
Create a Network Load-Balanced Logbook Application
This lab shows you how to build a logbook application using Node.js as the frontend and MySQL on the backend. You'll also create a network load balancer and an autoscaler to watch the frontend instances and scale when necessary.
Cloud Operations for GKE
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
Using the What-If Tool with Image Recognition Models
In this lab, we demonstrate the use of the what-if-tool for image recognition models.
Engineer Data in Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Engineer Data in Google Cloud quest. You should be familiar with the content of labs before attempting this lab.
Become a Cloud Expert
Infrastructure & DevOps
Implement, deploy, migrate and maintain applications in the cloud.
Websites & App Dev
For software engineers who develop applications in the cloud.
Design, build, analyze, and optimize big data solutions.
Write distributed machine learning models that scale.
Security, Backup & Recovery
Stay compliant and protect information, data applications and infrastructure.