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 Rate Limiting with Cloud Armor
Configure an HTTP Load Balancer with global backends, stress test the Load Balancer, and add a Cloud Armor rate limiting policy to restrict based on IP.
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Lab Featured Streaming Analytics into BigQuery: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Streaming Analytics into BigQuery quest. You should be familiar with the content of labs before attempting this lab.
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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 Leverage the Autoscaler Tool for Cloud Spanner to Achieve Workload Elasticity
In this lab you'll deploy the open-source Autoscaler tool for Cloud Spanner, a companion tool to Cloud Spanner, in the per-project configuration where the autoscaler tools are located in the same project as the Cloud Spanner instance being autoscaled.
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Lab Featured Migrate to Cloud SQL for PostgreSQL using Database Migration Service
In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a continuous Database Migration Service job and VPC peering for connectivity.
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Lab Featured Manage a partitioned table in BigQuery
Manage a partitioned table and use filters to reduce data examined in BigQuery
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Lab Featured Exploring Cost-optimization for GKE Virtual Machines
In this hands-on lab, you'll learn how to determine and select the the most cost effective machine type for a GKE application. You will also explore the pros and cons of a multi-zonal cluster.
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Lab Featured Analyze Customer Reviews with Gemini Using SQL
Learn how to use BigQuery Machine Learning with remote models (Gemini) to analyze customer reviews using SQL.
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Lab Featured Uptraining with Document AI Workbench
In this lab, you will will create an Invoice Parser processor, configure the processor for uptraining, label example documents, and uptrain the processor.