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In this lab you will schedule a Cloud Function to identify and clean up unused IP addresses.
In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.
In this lab you create a computer vision model that can recognize items of clothing and then explore what affects the training model.
In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.
Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
This challenge lab tests your skills and knowledge from the labs in the <b>Create a Secure Data Lake on Cloud Storage<b> quest. You should be familiar with the content of labs before attempting this lab.
Use the DLP API and Node.js samples to inspect and redact sensitive data.
This lab shows how to perform basic operations in Cloud Spanner using the Google Cloud Platform Console. Watch the short video <A HREF="https://youtu.be/_JsuTeXOjQg">Get a Highly Consistent, Scalable Database Service with Cloud Spanner</A>.
In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.
Create and attach persistent disks to Google Compute Engine virtual machines while exploring disk types, zones, and regions.
Hands-on BigQuery lab for querying public tables, creating datasets, loading sample data, and querying custom tables in the web UI.
In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
Build a conversational interface in Dialogflow by creating an agent, defining intents, extracting entities, using slot filling, and exporting the completed agent.
In this hands-on lab, you'll learn how setup both network load balancers and HTTP load balancers for your application running in Compute Engine virtual machines.
Build a conversational agent that include IVR features that Dialogflow CX provides.
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