Activités à la demande
Trouvez les activités à la demande qui vous conviennent. Les ateliers sont des activités de formation courtes qui couvrent une leçon spécifique en vous donnant un accès direct, temporaire et pratique à des ressources cloud réelles. Les cours sont des activités plus longues comprenant plusieurs modules, dont des vidéos, des documents, des ateliers pratiques et des questionnaires. Les quêtes sont semblables aux cours, mais sont généralement plus courtes et contiennent uniquement des ateliers.
1056 résultats
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Atelier Sélection Reconciling Account Data with Cloud Spanner Change Streams
Learn how to perform financial account reconciliation tasks using Cloud Spanner, Dataflow, and BigQuery.
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Atelier Sélection Deploy and Manage Apigee X: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Deploy and Manage Apigee X course. You should be familiar with the content of the labs before attempting this lab.
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Atelier Sélection Merging Results from Different Explores in Looker
In this lab, you will merge results from different explores in Looker.
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Atelier Sélection Pub/Sub Lite: Qwik Start
Pub/Sub Lite is a zonal service for messaging systems with predictable traffic patterns. In this lab you will create Lite topics and Lite subscriptions, then send and receive messages using the Pub/Sub Lite client library for Python.
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Atelier Sélection Infrastructure as Code with Terraform
In this lab, you will explore how terraform can be used to create, manage, and destroy Google Cloud resources.
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Atelier Sélection Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API
Send an image to the Cloud Vision API and have it identify objects, faces, and landmarks
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Atelier Sélection Getting Started with Cloud KMS
In this lab, you work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.
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Atelier Sélection Identify Horses or Humans with TensorFlow and Vertex AI
In this lab, you use convolutions to recognize features in an image where the subject can be anywhere in the image!