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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Atelier Sélection Store, Process, and Manage Data on Google Cloud - Command Line: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Store, Process, and Manage Data on Google Cloud - Command Line quest. You should be familiar with the content of labs before attempting this lab.
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Atelier Sélection Connect and Configure Data for your AppSheet App
In this lab, you use AppSheet to connect and configure data for your app.
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Atelier Sélection Entity and Sentiment Analysis with the Natural Language API
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
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Atelier Sélection Interact with Terraform Modules
In this hands-on lab you will create and use Terraform modules to organize your cloud configuration.
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Atelier Sélection Manage Data Models in Looker: Challenge Lab
In this lab, you test your skills related to managing data models in Looker. You are expected to use best practices to support LookML project health and optimize queries for performance.
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Atelier Sélection Test Network Latency Between VMs
Use the gcloud CLI to add VMs to your network, then test the latency between the VMs
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Atelier Sélection Using BigQuery in the Google Cloud Console
This lab shows you how to query public tables and load sample data into BigQuery using the GCP Console. Watch the following short video Get Meaningful Insights with Google BigQuery.
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Atelier Sélection Analyzing Natality Data Using BigQuery and Vertex AI
In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Vertex AI. This lab is part of a series of labs on processing scientific data.
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Atelier Sélection Identify Damaged Car Parts with Vertex AutoML Vision
In this lab, you will learn how to train a custom Vertex AI image classification model to recognize damaged car parts.
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Atelier Sélection Optimizing Performance of LookML Queries
In this lab, you learn how to optimize query performance in Looker.