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.

  • rozet
  • Format
  • Language
Clear all

111 results

  1. 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.

  2. Lab Featured

    Bulut Görüntülerini AutoML Görüntüleriyle Bulutta Sınıflandırma

    AutoML görüntüleri, makine öğrenimi konusunda uzmanlığı sınırlı olan geliştiricilerin yüksek kaliteli görüntü tanıma modelleri eğitmesine yardımcı olur. Bu uygulamalı laboratuvarda, özel bir modeli farklı bulut türlerini (ör. kümülüs, kümülonimbüs) tanıyacak şekilde eğitmeyi öğreneceksiniz.

  3. Lab Featured

    Predict Taxi Fare with a BigQuery ML Forecasting Model

    In this lab, you explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a machine learning model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

  4. Lab Featured

    Analyzing Movie Posters in BigQuery with Remote Models

    In this lab, you learn how to use BigQuery Machine Learning for inference with remote models (Gemini AI models) to Analyze Movie Posters. BigQuery Machine Learning for inference lets you create and run machine learning (ML) models by using GoogleSQL queries.

  5. Lab Featured

    Self Service ML Pipelines Using Dataprep and AutoML Tables

    In this lab you will learn how to use Dataprep in conjunction with AutoML Tables to build and operate your machine learning pipelines.

  6. Lab Featured

    Set Up a Query-based Alert By Using MQL: Qwik Start

    Learn how to monitor an Apache Web Server installed on a Compute Engine virtual machine (VM) instance using Ops Agent.

  7. Lab Featured

    Deploy Microsoft SQL Server to Compute Engine

    In this lab you will learn how to create a virtual machine with Microsoft SQL Server installed. You’ll also create a Windows user and password and learn how to connect to the Windows Server via remote desktop.

  8. Lab Featured

    Monitor a Compute Engine Virtual Machine: Qwik Start

    In this lab you will learn how to monitor an Apache Web Server installed on a Compute Engine virtual machine (VM) instance using Ops Agent.

  9. Lab Featured

    TensorFlow: Qwik Start

    In this lab, you learn the basic ‘Hello World' of machine learning. Instead of programming explicit rules in a language such as Java or C++, you build a system that is trained on data to infer the rules that determine a relationship between numbers.

  10. Lab Featured

    Detect and Investigate Threats with Security Command Center

    In this lab, you receive hands-on practice with Security Command Center’s (SCC) threat detection features and learn how to investigate and triage common vulnerabilities associated with containers and virtual machines. You also learn how to surface and manage your findings with SCC’s Event Threat Detection and Secu…