On-demand activities

Google Cloud 根據您的需求規劃了全方位的課程內容,內含超過 980 項學習活動,並涵蓋多種活動型態,您可自由選擇。您可以選擇簡短的個別研究室,或是包含影片、文件、研究室和測驗的多單元課程。在研究室中,您可以透過臨時憑證實際使用雲端資源,直接累積 Google Cloud 實作經驗。完成課程可獲得徽章,讓您輕鬆掌握、追蹤及評估自己的 Google Cloud 學習成果!

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1190 条结果
  1. 实验 精选

    Cloud Filestore: Qwik Start

    Cloud Filestore is a managed file storage service for applications that require a filesystem interface and a shared filesystem for data. Filestore gives users a simple, native experience for standing up managed Network Attached Storage (NAS) with their Google Compute Engine and Kubernetes Engine instances.

  2. 实验 精选

    Creating Permanent Tables and Access-Controlled Views in BigQuery

    This lab focuses on how to create new permanent reporting tables and logical reviews from an existing ecommerce dataset.

  3. 实验 精选

    Collect Metrics from Exporters using the Managed Service for Prometheus

    In this lab, you will explore using the Managed Service for Prometheus to collect metrics from other infrastructure sources via exporters.

  4. 实验 精选

    Orchestrating the Cloud with Kubernetes (Azure)

    In this lab you will learn how to provision a complete Kubernetes cluster using Google Kubernetes Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.

  5. 实验 精选

    Deploying a Fault-Tolerant Microsoft Active Directory Environment

    In this Qwiklab, you set up a redundant pair of Windows Domain Controllers (DC) with AD using a new Virtual Private Cloud (VPC) network and multiple subnets on Google Cloud Platform (GCP).

  6. 实验 精选

    VPC Networking Fundamentals

    In this lab you create an auto-mode VPC network with firewall rules and 2 VM instances, then explore the connectivity for the VM instances.

  7. 实验 精选

    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.

  8. 实验 精选

    Transacting Digital Assets with Multi-Party Computation and Confidential Space

    In this lab, you build the foundation for a Multi-Party Computation workload that signs an Ethereum transaction in Confidential Space based on co-signer key materials.

  9. 实验 精选

    在 BigQuery 使用 JSON、陣列和結構體

    在本實驗室中,您將學習如何在 BigQuery 處理半結構化資料,像是擷取 JSON、陣列資料等。此外,您將練習載入與查詢各種半結構化資料集、排解相關問題,以及解除這類資料的巢狀結構。

  10. 实验 精选

    Examining BigQuery Billing Data in Google Sheets

    Use Google Workspace Connected Sheets to harness the power of BigQuery. Connected Sheets lets you access and use data analytic functions to run queries and analyze data. You could create a Sheet to access and analyze your sales data, for example, then configure your Sheet to always reflect current data.