按需活动

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!

  • Badge
  • 格式 (1)
  • 语言
Clear all

731 条结果

  1. 实验 精选

    Pub/Sub:Qwik Start - Python

    在本研究室中,您將瞭解 Pub/Sub 的基本知識、如何使用 Python 指令碼建立主題和訂閱者,以及發布和查看訊息。詳情請觀看短片:《透過 Cloud Pub/Sub 簡化事件導向處理作業》。

  2. 实验 精选

    Cloud Spanner - Defining Schemas and Understanding Query Plans

    In this lab, you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.

  3. 实验 精选

    Network Tiers - Optimizing Network Spend

    In this lab, you create one VM in the premium network service tier (default) and one VM in the standard network service tier. Then you compare the latency and routes for each VM instance.

  4. 实验 精选

    Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution

    In this lab, you learn how to deploy and test a Visual Inspection AI Component Anomaly Detection solution.

  5. 实验 精选

    Cloud Spanner - Loading Data and Performing Backups

    In this lab, you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.

  6. 实验 精选

    Create and Manage AlloyDB Instances: Challenge Lab

    This challenge lab tests your ability to create and manage AlloyDB instances and databases on Google Cloud.

  7. 实验 精选

    Practice transformation methods

    Explore public datasets in BigQuery

  8. 实验 精选

    Create a Cosmetic Anomaly Detection Model using Visual Inspection AI

    In this lab, you learn how to create a Cosmetic Anomaly Detection Model using Visual Inspection AI.

  9. 实验 精选

    APIs Explorer: Cloud Storage

    In this lab you will use the APIs Explorer tool to create Cloud Storage buckets, upload data to the bucket, and remove content from buckets.

  10. 实验 精选

    Designing and Querying Bigtable Schemas

    In this lab, you explore a Bigtable instance and use the Bigtable CLI (cbt CLI) to query data in Bigtable. You also design a table schema and row key using best practices for Bigtable.