On-demand activities
Find the right on-demand learning activities for you. Labs are short learning activities that teach you a specific lesson by giving you direct, temporary, hands-on access to real cloud resources. Courses are longer activities, consisting of several modules made of videos, documents, hands-on labs and quizzes. Finally, quests are similar, but are usually shorter and contain only labs.
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Lab Featured Getting started with Firebase Web
In this hands-on lab, you will learn about the Firebase product suite with Web.
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Lab Featured Prepare Data for Looker Dashboards and Reports: Challenge Lab
In this challenge lab, you test your skills in filtering, pivoting, calculating, and merging data to build Looker dashboards and reports.
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Lab Featured Classify Images with TensorFlow on Google Cloud: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Classify Images with TensorFlow on Google Cloud course. You should be familiar with the content of these labs before attempting this lab.
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Lab Featured Scanning User-generated Content Using the Cloud Video Intelligence and Cloud Vision APIs
This lab will show you how to deploy a set of Cloud Functions in order to process images and videos with the Cloud Vision API and Cloud Video Intelligence API.
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Lab Featured Getting Started with BigQuery GIS for Data Analysts
BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.
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Lab Featured Build a Serverless Web App with Firebase
In this lab you will create a serverless web app with Firebase, which allows users to upload information and make appointments with the fictional Pet Theory clinic.
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Lab Featured Vertex AI: Training and Serving a Custom Model
In this lab, you will use Vertex AI to train and serve a TensorFlow model using code in a custom container.
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Lab Featured Analyze Customer Reviews with Gemini Using Python Notebooks
Learn how to use BigQuery Machine Learning with remote models (Gemini AI) to analyze customer reviews using Python Notebooks.
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Lab Featured Set up a SIEM forwarder on a Linux Instance
Install and configure a SIEM forwarder on a Linux host, then send sample logs using a file collector and observe the ingested logs in a live Chronicle environment.