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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1186 条结果
  1. 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.

  2. 实验 精选

    使用 Go 和 Cloud Run 建立 PDF 檔

    瞭解如何使用無伺服器技術和 Go,部署可在 Google Cloud 上建立 PDF 檔的應用程式。

  3. 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.

  4. 实验 精选

    Loading Your Own Data into BigQuery

    This lab teaches you how to ingest data from a CSV file into tables in BigQuery.

  5. 实验 精选

    Get Started with Looker: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Get Started with Looker quest. You should be familiar with the content of the labs before attempting this lab.

  6. 实验 精选

    Google Cloud Packet Mirroring with OpenSource IDS

    This lab demonstrates a common enterprise use case for Google Cloud's Packet Mirroring in conjunction with an Open Source Intrusion Detection System.

  7. 实验 精选

    Vertex AI PaLM API: Qwik Start

    Use Generative AI Studio to create prompts and conversations

  8. 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)。

  9. 实验 精选

    Distributed Load Testing Using Kubernetes

    Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

  10. 实验 精选

    Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Cloud Service Mesh

    In this lab you will install the Cloud Service Mesh, and deploy a resnet model, all on a GKE cluster.