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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1212 条结果
  1. 实验 精选

    Analyzing Natality Data Using BigQuery and Vertex AI

    In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Vertex AI. This lab is part of a series of labs on processing scientific data.

  2. 实验 精选

    Google Drive: Getting Started

    Use Google Drive to store all your files in the cloud, including photos, Microsoft® Word® documents, Excel® spreadsheets, and more. You can also make changes to a Word file using Google Docs, or convert your Word files to Google Docs.

  3. 实验 精选

    建立虛擬機器 - Creating a Virtual Machine

    在這個實作研究室中,您將學習如何建立 Google Compute Engine 虛擬機器,以及瞭解可用區、區域和機器類型。如要預覽研究室內容,請觀看這部短片:建立虛擬機器 (GCP 基礎入門)。

  4. 实验 精选

    Ingesting New Datasets into BigQuery

    This lab focuses on how to ingest new datasets into tables inside of BigQuery.

  5. 实验 精选

    VPC Networking: Cloud HA-VPN

    Set up two VPCs and add a cloud HA-VPN gateway in each, then run two tunnels from each VPN gateway to demonstrate the HA-VPN gateway configuration for 99.99% SLA.

  6. 实验 精选

    Dataprep:Qwik Start

    Google Cloud Dataprep 是一項智慧型資料服務,您可以透過當中的視覺化介面來探索、清理及準備資料,以用於數據分析。歡迎觀看這部短片:Dataprep: Qwik Start - Qwiklabs Preview。

  7. 实验 精选

    Cloud Monitoring:Qwik Start

    本研究室說明如何使用 Cloud Monitoring 監控 Compute Engine 虛擬機器 (VM) 執行個體。

  8. 实验 精选

    A Tour of Cloud Networking

    This lab delivers an overview of the key cloud networking building blocks

  9. 实验 精选

    Consuming Customer Specific Datasets from Data Sharing Partners using BigQuery

    In this lab you will learn how to create Data Twins for customers on Google Cloud or a different cloud service provider.

  10. 实验 精选

    Creating Derived Tables Using LookML

    In this lab, you create SQL derived and native derived tables in LookML to define new tables that do not already exist in the underlying database.