Google Cloud eğitimlerini dilediğiniz şekilde keşfedin.
980'den fazla öğrenim aktivitesi barındıran kapsamlı Google Cloud kataloğu, ihtiyaçlarınıza uygun şekilde tasarlanmıştır. Katalogda çeşitli aktivite formatları yer alır. Tek parçalık kısa laboratuvarlar ya da video, belge, laboratuvar ve testler içeren çok modüllü kurslar arasından seçim yapabilirsiniz. Laboratuvarlarımız kapsamında, gerçek bulut kaynaklarına erişmeniz için geçici kimlik bilgileri verilir. Böylece Google Cloud'u doğrudan platformu kullanarak öğrenebilirsiniz. Google Cloud'da tamamladığınız aktivitelerden rozetler kazanabilir, bu sayede ilerlemenizi öğrenebilir, takip edebilir ve ölçebilirsiniz.
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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured Compute Engine'de Yük Dengelemeyi Uygulama: Yarışma Laboratuvarı
Bu Yarışma Laboratuvarı, Compute Engine'de Yük Dengelemeyi Uygulama adlı beceri rozetindeki laboratuvarlardan edindiğiniz bilgi ve becerileri test eder. Bu laboratuvara başlamadan önce söz konusu laboratuvarların içeriğine aşina olmanız gerekir.
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Lab Featured 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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Lab Featured 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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Lab Featured 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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Lab Featured 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.