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 Develop and Secure APIs with Apigee X: Challenge Lab
This challenge lab tests your skills and knowledge from the labs in the Develop and Secure Apigee X course. You should be familiar with the content of the labs before attempting this lab.
-
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.
-
Lab Featured Serverless Data Processing with Dataflow - Writing an ETL pipeline using Apache Beam and Dataflow (Java)
In this lab, you a) build a batch ETL pipeline in Apache Beam, which takes raw data from Google Cloud Storage and writes it to BigQuery b) run the Apache Beam pipeline on Dataflow and c) parameterize the execution of the pipeline.
-
Lab Featured Implementing a Hub and Spoke using NCC
In this lab, you create a hub and spoke topology using NCC. In this hands-on exercise, you'll design and implement a classic hub-and-spoke network topology. Your pre-configured environment includes three VPC networks—a central hub and two branches (spoke1 and spoke2).
-
Lab Featured Grounding Gemini Models in Vertex AI
In this lab, you will learn how to use grounding in Vertex AI to generate content grounded in your own documents and data.
-
Lab Featured Using Elastic Stack to Monitor Google Cloud
In this lab you will learn how to use the Elastic Stack to monitor Google Cloud Platform.
-
Lab Featured Getting Started with Splunk Cloud GDI on Google Cloud
A step-by-step guide through the process to configure multiple methods to ingest Google Cloud data into Splunk
-
Lab Featured Automate GKE Configurations with Config Sync and Policy Controller
Use GitOps-driven Config Sync to automate configuration and Policy Controller to enforce policies on GKE Enterprise resources
-
Lab Featured Compare data analytics with BigQuery and Dataproc
Create and import data using parquet files
-
Lab Featured Data Analysis with the FraudFinder Workshop
FraudFinder is a series of JupyterLabs that show how to implement an end-to-end Data to AI architecture works on Google Cloud, through a toy use case of real-time fraud detection system.