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.
-
Lab Featured Using NAT for Apigee X Backend Services
In this lab, you enable a NAT IP address for the runtime instance. This static IP address is used when calling from Apigee X to backend services.
-
Lab Featured Caching and Datagroups with LookML
In this lab, you learn how caching works in Looker and explore how to use LookML objects called datagroups to define caching policies.
-
Lab Featured Identify Application Vulnerabilities with Security Command Center
In this lab, you will use Web Security Scanner—one of Security Command Center's built-in services—to scan a Python Flask application for vulnerabilities.
-
Lab Featured Build LookML Objects in Looker: Challenge Lab
In this challenge lab, you test your skills in building LookML objects in Looker. You are expected to create and use dimensions, measures, views, derived tables, filters, and datagroups.
-
Lab Featured ETL Processing on Google Cloud Using Dataflow and BigQuery (Python)
In this lab, you build several data pipelines that ingest and transform data from a publicly available dataset into BigQuery.
-
Lab Featured Importing Data to a Firestore Database
In this lab you will upload existing data (a CSV file) to a Firestore serverless database in the cloud.
-
Lab Featured Process Documents with Python Using the Document AI API
Use the Document AI API with Python to create various processors, including a general form processor and a Document OCR processor, then make synchronous and asynchronous calls to the API using Python.
-
Lab Featured Cloud Spanner - Loading Data and Performing Backups
In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
-
Lab Featured SAP Landing Zone: Plan and Deploy the SAP Network
In this lab, students will be introduced to the key activities involved in deploying GCP network resources involved in building an “SAP Landing Zone”.
-
Lab Featured Service Accounts and Roles: Fundamentals
In this hands-on lab, you learn how to create and manage Service Accounts