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!

过滤条件
全部清除
  • Badge
  • 格式
  • 语言

1186 条结果
  1. 实验 精选

    Deploy and Manage Apigee X: Challenge Lab

    This challenge lab tests your skills and knowledge from the labs in the Deploy and Manage Apigee X course. You should be familiar with the content of the labs before attempting this lab.

  2. 实验 精选

    Gmail: Getting Started

    Use Gmail to create, send, view, and reply to email.

  3. 实验 精选

    Build an application to send Chat Prompts using the Gemini model

    In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to send text based chat prompts as an input and receive personalized streaming and non-streaming chat responses.

  4. 实验 精选

    Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

    This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.

  5. 实验 精选

    Optimizing Applications Using Cloud Profiler

    In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.

  6. 实验 精选

    Derive Insights from BigQuery Data:挑戰實驗室

    本挑戰實驗室會檢驗您在「Derive Insights from BigQuery Data」技能徽章實驗室所學的技能與知識。請先熟悉該實驗室的內容,再開始這個挑戰實驗室課程。

  7. 实验 精选

    Validate Data in Google Sheets

    Ensure that your data is valid and prepared for analysis using Google Sheets features and functions to organize, standardize, and clean data.

  8. 实验 精选

    Dataflow:Qwik Start - Python

    在本研究室中,您會運用 Apache Beam SDK for Python 為 Dataflow 設定 Python 開發環境,並執行 Dataflow 範例管道。

  9. 实验 精选

    Visualizing Data with Looker Studio

    This lab demonstrates how to use Looker Studio to visualize data stored in Google BigQuery.

  10. 实验 精选

    APIs Explorer: Compute Engine

    Use the APIs Explorer to create a Compute Engine instance, then use Cloud monitoring to monitor the CPU usage.