Discover Google Cloud training your way
With 700+ 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, short quests comprising a series of 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!
19 results
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Lab Hosting a Web App on Google Cloud Using Compute Engine
In this lab you’ll deploy and scale a Web App on Google Compute Engine.
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Lab Deploying a Python Flask Web Application to App Engine Flexible
In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.
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Lab Deploy a Modern Web App connected to a Cloud Spanner Instance
In this lab you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.
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Lab Cloud Security Scanner: Qwik Start
The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.
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Lab Flutter Startup Namer
This lab walks you through writing your first Flutter app compatible for Android, iOS, and web.
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Lab Build a Serverless App with Cloud Run that Creates PDF Files
In this lab you will build a PDF converter web app on Cloud Run, a serverless service, that automatically converts files stored in Cloud Storage into PDFs stored in segregated folders.
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Lab Using Cloud Trace on Kubernetes Engine
This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Cloud…
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Lab Awwvision: Cloud Vision API from a Kubernetes Cluster
This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
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Lab Deploy, Scale, and Update Your Website on Google Kubernetes Engine
In this lab you will learn how to deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.