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 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 Working with Cloud Dataprep on Google Cloud
Cloud Dataprep is Google's self-service data preparation tool. In this lab, you will learn how to use Cloud Dataprep to clean and enrich multiple datasets using a mock use case scenario of customer info and purchase history.
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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 Creating a Streaming Data Pipeline With Apache Kafka
In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache.
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Lab Featured Build an LLM and RAG-based Chat Application using AlloyDB and LangChain
Learn how to create an interactive application within a deployed environment.
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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.
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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 Identify vulnerabilities and remediation techniques
Use vulnerability scans to identify security issues and remediate them.
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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.