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 Offloading Financial Mainframe Data into BigQuery and Elastic Search
In this hands-on lab, you will import synthetic data* representing financial records offloaded from a bank’s mainframe.
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Lab Featured Create and execute a SQL workflow in Dataform
This lab walks you through the process to create and execute a SQL workflow in Dataform to load data in BigQuery.
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Lab Featured Compare data analytics with BigQuery and Dataproc
Create and import data using parquet files
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Lab Featured GKE Autopilot: Qwik Start
GKE Autopilot provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.
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Lab Featured Route Datadog Monitoring Alerts to Google Cloud with Eventarc
In this lab, you will learn how to use the Datadog Monitoring with Google Eventarc.
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Lab Featured SingleStore on Google Cloud
Learn how to deploy SingleStore DB, combine it with cloud native products like Pub/Sub, Dataflow and Cloud Storage, and interact with SingleStore once the data is ingested.
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Lab Featured Cloud Composer: Qwik Start - Console
In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
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Lab Featured Building and Debugging Cloud Functions for Node.js
In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.
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Lab Featured Cloud Run Canary Deployments
Implement a deployment pipeline for Cloud Run that executes a progression of code from developer branches to production with automated canary testing and percentage based traffic management.
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Lab Featured Cisco: SD-WAN Cloud Hub with Google Cloud
In this hands-on lab, you will learn how to leverage Google Service Directory and Cisco SD-WAN to optimize the performance of a video streaming application.