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 Use reports to remediate findings
Remediate threats detailed in a management report
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Atelier Sélection App Dev: Adding User Authentication to your Application - Python
In this lab, you will enhance the online Quiz application to use Firebase authentication.
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Atelier Sélection Streamlining Wildlife Image Classification in BigQuery with an Imported Model
In this lab, you learn how to streamline an image classification workflow in BigQuery using an imported model (PyTorch model created in ONNX format), and Google SQL queries.
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Atelier Sélection Protecting APIs with Apigee X and Cloud Armor
In this lab, you use an Apigee X threat protection policy and Cloud Armor to protect your APIs.
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Atelier Sélection Build Google Cloud Infrastructure for Azure Professionals: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for Azure Professionals course. You should be familiar with the content of the labs before attempting this lab.
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Atelier Sélection Using the Natural Language API from Google Docs
In this hands-on lab, you use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.
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Atelier Sélection Data Catalog: Qwik Start
In this lab, you explore existing datasets with Data Catalog and mine the table and column metadata for insights.
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Atelier Sélection Deploy and Troubleshoot a Website: Challenge Lab
Your challenge is to deploy a website in the public cloud
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Atelier Sélection Using Specialized Processors with Document AI (Python)
In this lab, you will learn how to use Document AI Specialized Processors to classify and parse specialized documents with Python.