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Ket Vui Chia
Member since 2025
Google Cloud 資料分析基本概念
Earned Oct 2, 2025 EDT
使用 Google Data Cloud 共用資料
Earned Aug 2, 2025 EDT
使用 Knowledge Catalog 建構資料網格
Earned Jul 30, 2025 EDT
Build Data Lakes and Data Warehouses on Google Cloud
Earned Jul 29, 2025 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jul 27, 2025 EDT
從 BigQuery 資料取得深入分析結果
Earned Jul 22, 2025 EDT
透過 BigQuery 建構資料倉儲
Earned Jul 10, 2025 EDT
以串流方式將分析資料傳入 BigQuery
Earned Jul 10, 2025 EDT
Google Cloud 中的資料工程簡介
Earned Jun 4, 2025 EDT
生成式 AI 代理：實現組織轉型
Earned May 27, 2025 EDT
生成式 AI 應用程式：徹底改變工作方式
Earned May 26, 2025 EDT
生成式 AI：掌握幕後技術與環境
Earned May 25, 2025 EDT
生成式 AI：瞭解基礎概念
Earned May 25, 2025 EDT
Intro to BigQuery: Analytics & Machine Learning
Earned May 20, 2025 EDT
生成式 AI：不只是聊天機器人
Earned May 19, 2025 EDT
Cloud Hero Network Skills
Earned May 16, 2025 EDT
Build a Certification Study Guide: PDE Exam Prep
Earned May 14, 2025 EDT
Cloud Hero Kubernetes Skills
Earned May 13, 2025 EDT
Cloud Hero for Cloud Digital Leader
Earned May 8, 2025 EDT
Generative AI and ML with Vertex AI
Earned May 6, 2025 EDT
Data Storage Quiz: Store and manage my data efficiently
Earned Apr 11, 2025 EDT
Modernization Quiz: Modernize my existing applications
Earned Apr 11, 2025 EDT
Scalability Quiz: Make my application scalable and reliable
Earned Apr 11, 2025 EDT
Automation Quiz: Automate my development workflow
Earned Apr 11, 2025 EDT
Data Defense Quiz: Secure my application and data
Earned Apr 11, 2025 EDT
Data Insights Quiz: Analyze my data to gain insights
Earned Apr 11, 2025 EDT
瞭解如何在 Google Cloud 將原始數據轉化為明確的資料導向決策。本初級課程提供實作研究室和實際情境，引導您在 BigQuery 查詢資料、在 Looker 探索趨勢，以及透過數據分析工具製作可共用的互動式報表。
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完成「使用 Google Data Cloud 共用資料」課程，即可獲得技能徽章。 在本課程中，您會透過 Google Cloud 資料共用合作夥伴， 使用專屬資料集進行數據分析， 獲得豐富的實務經驗。客戶訂閱這類資料後，即可在自家平台查詢， 並用自己的資料集補強。此外，也能使用圖表 工具，打造客戶專用的資訊主頁。
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完成「使用 Knowledge Catalog 建構資料網格」技能徽章入門課程，即可證明您具備下列技能：使用 Knowledge Catalog 建構資料網格， 以利在 Google Cloud 維護資料安全性，並協助治理和探索資料。您將練習並測試自己的技能，包括在 Knowledge Catalog 為資產加上標記、指派 IAM 角色，以及評估資料品質。
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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.
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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Managed Service for Apache Spark 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。
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完成 透過 BigQuery 建構資料倉儲 技能徽章中階課程，即可證明您具備下列技能： 彙整資料以建立新資料表、排解彙整作業問題、利用聯集附加資料、建立依日期分區的資料表， 以及在 BigQuery 使用 JSON、陣列和結構體。
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完成「以串流方式將分析資料傳入 BigQuery」課程，即可獲得技能徽章。 在此課程中，您將綜合應用 Pub/Sub、Dataflow 和 BigQuery，並以串流方式傳送 資料進行分析。
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在本課程中，您會學到 Google Cloud 上的資料工程、資料工程師的角色與職責，以及這些內容如何對應至 Google Cloud 提供的服務。您也將瞭解處理資料工程難題的許多方法。
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「生成式 AI 代理：實現組織轉型」是 Gen AI Leader 學習路徑的第五堂也是最後一堂課程。本課程將探討組織如何運用自訂生成式 AI 代理，解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理，同時探索這類代理的各種元件，例如模型、推論迴圈和工具。
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「生成式 AI 應用程式：徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。
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「生成式 AI：掌握幕後技術與環境」是 Gen AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式，以及與周遭世界的互動模式。身為領導者，您要如何駕馭其強大的功能，創造實際的業務成果？在本課程中，您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品與服務，以及選擇解決方案時應考量的因素。
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生成式 AI：瞭解基礎概念是 Gen AI Leader 學習路徑的第二門課程。在本課程中，您將瞭解 AI、機器學習和生成式 AI 的差異，以及各種類型的資料如何協助生成式 AI 解決業務難題，進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 因應基礎模型限制的策略，以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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「生成式 AI：不只是聊天機器人」是 Gen AI Leader 學習路徑的第一門課程，沒有先修條件。本課程旨在帶領您超越對聊天機器人的基本認識，探索生成式 AI 能為貴組織帶來的真正潛力。您將瞭解基礎模型和提示工程等概念，這些都是發揮生成式 AI 威力的關鍵。本課程也會引導您思考重要事項，協助您為貴組織制定成功的生成式 AI 策略。
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Data Engineer certification exam.
You'll review Gemini Notebook features, create a notebook in Gemini Notebook, and learn how to use a study guide to practice for a certification exam.
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Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
Learn more
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
Learn more
Master Google Cloud skills through hands-on labs and friendly competition! Cloud Hero challenges you to conquer a series of Cloud Skills Boost labs, putting your newfound knowledge to practice. Earn points for completing labs accurately, and rack up bonus points for speed. The leaderboard lets you see how you stack up against your peers – can you rise to the top? Remember to click "End" after finishing each lab to claim your well-deserved points.
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Utilize Google's diverse storage and database options to handle various data types and workloads effectively.
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Transition your legacy applications to modern architectures using Google Cloud's containerization, serverless, and managed Kubernetes solution.
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Ensure your application can handle fluctuating traffic and remain available with Google''s robust infrastructure and auto-scaling features.
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Streamline your development process by using automated CI/CD pipelines, infrastructure provisioning, and serverless functions.
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Protect your applications and data with Google''s comprehensive security tools, ensuring confidentiality, integrity, and availability.
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Extract valuable insights from your data with Google's scalable analytics tools for processing, warehousing, and visualizing information.
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