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 Creating Cross-region Load Balancing
This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.
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Atelier Sélection Use Dataproc Serverless for Spark to Load BigQuery
This hands-on lab shows you how to use Dataproc Serverless for Spark to load BigQuery.
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Atelier Sélection Automating your BigQuery Data Pipeline with Cloud Dataprep
In this lab, you will examine how Dataprep can be used on complicated data structures in BigQuery.
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Atelier Sélection Exploring the Lineage of Data with Cloud Data Fusion
This lab shows how to use Cloud Data Fusion to explore data lineage - the data's origins and its movement over time.
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Atelier Sélection Working with Artifact Registry
Artifact Registry is a single place to manage container images and language packages, and is fully integrated with Google Cloud tooling and and runtimes. This makes it simple to integrate it with your CI/CD tooling to set up automated pipelines.
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Atelier Sélection Implement Load Balancing on Compute Engine: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Implement Load Balancing on Compute Engine skill badge. You should be familiar with the content of the labs before attempting this lab.
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Atelier Sélection Modernizing Applications with Apigee X
In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…
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Atelier Sélection Building Batch Pipelines in Cloud Data Fusion
This lab will teach you how to use the Pipeline Studio in Cloud Data Fusion to build an ETL pipeline. Pipeline Studio exposes the building blocks and built-in plugins for you to build your batch pipeline, one node at a time. You will also use the Wrangler plugin to build and apply transformations to your data that…
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Atelier Sélection Creating a Gmail Add-on
In this hands-on lab you create a Gmail Add-on that allows you to quickly change the labels of an email thread.
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Atelier Sélection Predict Baby Weight with TensorFlow on Vertex AI
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.