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 Generative AI: Database Engineer Revision
Arcade chatbot lab to learn about the Professional Database Engineer
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Atelier Sélection Perform Predictive Data Analysis in BigQuery: Challenge Lab
This challenge lab tests the skills and knowledge gained from the labs in the Perform Predictive Data Analysis in BigQuery skill badge course.
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Atelier Sélection Setting Up Cost Control with Quota
In this lab you will query a large dataset, update the BigQuery API quota, and then optimize your query to run within quota.
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Atelier Sélection Cloud Natural Language API: Qwik Start
The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start - Qwiklabs Preview.
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Atelier Sélection Deploy, Scale, and Update Your Website on Google Kubernetes Engine
Deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.
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Atelier Sélection Generative AI: Associate Cloud Engineer Revision
Arcade chatbot lab to learn about the Associate Cloud Engineer
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Atelier Sélection Visualizing Billing Data with Looker Studio
In this lab, you will harness the power of Looker Studio, where you will learn how to build billing graphs and charts so you can slice and dice your Google Cloud bill the way you want.
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Atelier Sélection Summarize Text using SQL and LLMs in BigQuery ML
In this lab, you will explore how to perform summarization of source code from GitHub repos and identification of the language of programming in the repo, using Vertex AI Large Language Model (LLM) for text generation.