Google Cloud eğitimlerini dilediğiniz şekilde keşfedin.

700'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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342 results

  1. Lab Featured

    App Dev: Deploying the Application into Kubernetes Engine - Python

    In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.

  2. Course Featured

    Developing Applications with Google Cloud: Foundations

    In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about au…

  3. Lab Featured

    Modernizing Applications with Apigee X

    In this lab, you deploy a backend service on Cloud Run. The backend service implements a REST API for a bank, storing customers, accounts, ATMs, and transactions in a Firestore database. You create a shared flow that retrieves and caches content from an external service. You then call that shared flow from your AP…

  4. Lab Featured

    Connect to Cloud SQL from an Application in Google Kubernetes Engine

    This lab shows how easy it is to connect an application in Google Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a GKE cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.

  5. Course Featured

    Application Development with Cloud Run

    This course introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to on Google Cloud using Cloud Run.design, implement, depl…

  6. Lab Featured

    Deploying a Python Flask Web Application to App Engine Flexible

    In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.

  7. Course Featured

    Building Applications with Eventarc on Google Cloud

    This course teaches you how to build and secure event-driven applications by using Eventarc. Using lectures and hands-on labs, you create Eventarc triggers to route events from Google Cloud services to event receivers that act on the events. You learn about the standard CloudEvents format that is used by Eventarc,…

  8. Course Featured

    Integrating Applications with Gemini 1.0 Pro on Google Cloud

    This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code. It lets you test the capabilities of the models with text, ima…

  9. Lab Featured

    Securing Compute Engine Applications and Resources using BeyondCorp Enterprise (BCE)

    In this lab, you will learn how to secure a Compute Engine instance with Identity-Aware Proxy (IAP).

  10. Lab Featured

    Scale Out and Update a Containerized Application on a Kubernetes Cluster: Challenge Lab

    Your challenge is to deploy a containerized application to a Kubernetes cluster, updated the application, then scaled it out.