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Luiz Claudio Chiavini
Member since 2022
Diamond League
60929 points
Quiz: GDC Air-Gapped Practitioner Fundamentals
Earned Jan 17, 2026 EST
Planetary Scale Earth Observation with Google Earth Engine
Earned Jan 17, 2026 EST
Cloud 安全風險管理策略
Earned Dec 16, 2025 EST
全面整合：為成為 Cloud 資安分析師做好準備
Earned Dec 16, 2025 EST
Cloud 運算中的安全性原則簡介
Earned Dec 16, 2025 EST
Cloud 安全風險：找出並防範威脅
Earned Dec 16, 2025 EST
運用 Google Cloud 偵測、因應網路攻擊並執行復原工作
Earned Dec 16, 2025 EST
綜合應用：為 Cloud 資料分析師工作做準備
Earned Oct 28, 2025 EDT
資料敘事的強大力量：如何在 Cloud 以圖表呈現資料
Earned Oct 28, 2025 EDT
在 Cloud 轉換資料
Earned Oct 28, 2025 EDT
在 Cloud 管理與儲存資料
Earned Oct 27, 2025 EDT
Google Cloud 資料分析功能簡介
Earned Oct 27, 2025 EDT
在 Agent Platform 設計提示
Earned May 21, 2025 EDT
瞭解 Google Cloud 費用
Earned Oct 24, 2024 EDT
Creating New BigQuery Datasets and Visualizing Insights
Earned Oct 24, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned Oct 22, 2024 EDT
開始使用 Looker
Earned Oct 22, 2024 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Earned Jul 30, 2024 EDT
Cloud Security Risks: Identify and Protect Against Threats
Earned Jul 30, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned Jul 30, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned Jul 30, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Jul 30, 2024 EDT
Google Security Operations - Deep Dive
Earned May 19, 2024 EDT
[Deprecated]Google Security Operations - Fundamentals
Earned May 19, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned May 19, 2024 EDT
The Power of Storytelling: How to Visualize Data in the Cloud
Earned May 18, 2024 EDT
Data Transformation in the Cloud
Earned May 10, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned May 9, 2024 EDT
在 Google Cloud 使用機器學習 API
Earned May 9, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
Earned May 7, 2024 EDT
在 Google Cloud 設定應用程式開發環境
Earned May 7, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned May 7, 2024 EDT
Data Management and Storage in the Cloud
Earned May 6, 2024 EDT
Introduction to Data Analytics in Google Cloud
Earned May 6, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned May 5, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned May 5, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned May 5, 2024 EDT
Google Cloud 的可靠性與安全性
Earned May 5, 2024 EDT
運用 Google Cloud 翻新基礎架構和應用程式
Earned May 5, 2024 EDT
運用 Google Cloud 人工智慧推動創新
Earned May 5, 2024 EDT
運用 Google Cloud 探索資料轉換功能
Earned May 5, 2024 EDT
透過 Google Cloud 進行數位轉型
Earned May 3, 2024 EDT
Google Sheets - Advanced Topics
Earned May 3, 2024 EDT
[DEPRECATED] Gmail
Earned May 3, 2024 EDT
使用 Google Cloud 作業套件調度資源
Earned Apr 26, 2024 EDT
[DEPRECATED] Google Docs
Earned Apr 26, 2024 EDT
[DEPRECATED] Google Meet
Earned Apr 26, 2024 EDT
負責任的 AI 技術簡介
Earned Apr 25, 2024 EDT
大型語言模型簡介
Earned Apr 25, 2024 EDT
生成式 AI 簡介
Earned Apr 25, 2024 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Dec 16, 2022 EST
Flutter Development
Earned Oct 27, 2022 EDT
使用 BigQuery 進行機器學習
Earned Sep 30, 2022 EDT
DEPRECATED Explore Machine Learning Models with Explainable AI
Earned Jun 20, 2022 EDT
Automate Interactions with Contact Center AI
Earned Jun 3, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Jun 3, 2022 EDT
在 Google Cloud 使用機器學習 API
Earned Jun 2, 2022 EDT
運用 BigQuery ML 建立機器學習模型
Earned Jun 2, 2022 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned May 27, 2022 EDT
建構安全的 Google Cloud 網路
Earned May 26, 2022 EDT
Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
Earned May 26, 2022 EDT
Google Cloud 必備知識
Earned May 26, 2022 EDT
在 Google Cloud 設定應用程式開發環境
Earned May 25, 2022 EDT
Google Cloud 運算的基本概念：Google Cloud 基礎架構
Earned May 25, 2022 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned May 24, 2022 EDT
Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales
Earned May 24, 2022 EDT
This quiz tests your GDC Air-Gapped Practitioner Fundamentals knowledge.
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Learn how public sector agencies and academic researchers leverage Google Earth Engine to distill meaningful insights from petabytes of Earth Observation at planetary scale. Google Earth Engine is a fully managed geospatial platform that has enabled research for more than a decade in environmental areas such as forestry, agriculture, water, and sustainability.
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這是 Google Cloud 網路安全專業證書五堂課程中的第二堂。本課程將介紹廣泛使用的雲端風險管理架構，探討安全領域、法規遵循生命週期，以及 HIPAA、NIST CSF 和 SOC 等業界標準。您將學會識別風險、實作安全控管措施、評估法規遵循情形，以及管理資料保護作業。此外，您還將實際操作 Google Cloud 和多雲端工具，瞭解如何因應風險和法規遵循需求。本課程也納入求職和面試準備技巧，提供全方位基礎知識，協助學員瞭解並有效應對雲端風險管理的複雜現況。
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這是 Google Cloud 網路安全專業證書課程的第五門課，在本課程中，您將在互動式總結專案中，結合並應用雲端安全原則、風險管理、安全漏洞識別、事件管理和危機溝通等重要概念。此外，您還會完成履歷更新，並實際練習所有新學到的面試技巧，為應徵和面試這個領域的工作做好準備。
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這是 Google Cloud 網路安全專業證書五堂課程中的第一堂。本課程將介紹網路安全的必要基礎，包括安全防護生命週期、數位轉型和雲端運算的重要概念。您將瞭解初級雲端資安分析師用來自動執行工作的常見工具。
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這是 Google Cloud 網路安全專業證書五堂課程中的第三堂。本課程將探討雲端環境中的身分管理和存取控管原則，涵蓋 AAA (驗證、授權和稽核)、憑證處理和憑證管理等重要元素。此外，您還會學到威脅與安全漏洞管理、雲端原生原則和資料保護措施等重要主題。您完成本課程後，將具備保護雲端資源和組織機密資訊所需的技能與知識。此外，您還能繼續使用跟職涯有關的資源，精進面試技巧，準備邁向職涯發展的下一步。
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這是 Google Cloud 網路安全專業證書五堂課程中的第四堂。本課程將著重於培養記錄、安全防護和快訊監控能力，以及攻擊防範技術。您將學到如何自訂威脅資訊、管理事件、處理危機溝通、進行根本原因分析，以及掌握事件應變和事後溝通的訣竅。您將學習如何使用 Google Cloud 工具找出入侵指標，並為業務永續性和災難復原做好準備。除了技術能力，您還需要持續更新履歷，並練習面試技巧。
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這是 Google Cloud Data Analytics 專業證書五堂課程中的第五堂。在本課程中，您將結合第一到第四堂課程的基礎知識和技能，並活用所學，透過專題實作呈現完整的資料生命週期。您將練習使用雲端式工具，有效率地取得、儲存、處理、分析資料，並以圖表呈現及傳達資料洞察結果。本課程結束後，您將完成一項專案，證明自己精通於有效整理多個來源的資料、向不同相關人士說明解決方案，以及運用雲端式軟體將資料洞察結果以圖表呈現。此外，您還會更新履歷，並練習面試技巧，為應徵和面試做好準備。
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這是 Google Cloud Data Analytics 專業證書五堂課程中的第四堂。本課程著重於培養雲端資料圖表製作的技能，共分五個主要階段：敘事、規劃、探索資料、建立圖表，以及與他人分享資料。您還會實際使用 UI/UX 技能，繪製具說服力的雲端原生圖表線框稿，並運用雲端原生資料圖表工具探索資料集、建立報表和資訊主頁，推動決策並促進協作。
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Google Cloud 資料分析專業證書課程共有五堂課程，這是第三堂。本課程會先簡要說明資料歷程，從最初的資料收集，一直到最後的洞察分析。接著，您將依序學習如何使用 SQL 將原始資料轉換為可用的格式、怎麼透過資料管道轉換大量資料。最後，您將練習如何將轉換策略應用於實際資料集，滿足業務需求。
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這是 Google Cloud 資料分析專業證書五堂課程中的第二堂。本課程將帶您瞭解資料的結構化和組織方式。您將透過實作，瞭解資料湖倉架構和 BigQuery、Google Cloud Storage 與 DataProc 等雲端元件，有效率地儲存、分析及處理大型資料集。
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這是 Google Cloud 資料分析專業證書五堂課程中的第一堂。在本課程中，您將瞭解雲端資料分析領域的定義，並說明雲端資料分析師在資料擷取、儲存、處理和視覺化方面的角色與職責。您將瞭解 BigQuery 和 Cloud Storage 等 Google Cloud 工具的架構，以及如何運用這些工具有效組織、呈現及彙整資料。
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完成 在 Agent Platform 設計提示 技能徽章入門課程，即可證明您具備下列技能： 在 Agent Platform 設計提示、分析圖片，以及運用多模態模型生成內容。瞭解如何建立有效的提示、引導生成式 AI 輸出內容， 以及將 Gemini 模型用於實際的行銷情境。
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本課程最適合從事科技或金融職務， 且負責管理 Google Cloud 費用的人士修習。您將學習如何設定帳單帳戶、 整理資源及管理帳單存取權限。 在實作實驗室，您會瞭解如何查看帳單、使用 BigQuery 或 Google 試算表分析帳單資料， 以及使用 Data Studio 建立自訂的帳單資訊主頁。如需影片提及的參考資源連結， 請參閱其他資源文件。
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This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.
Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.
After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.
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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「開始使用 Looker」技能徽章課程，即可獲得技能徽章， 您將從中瞭解如何使用 Looker Studio 和 Looker 分析、呈現及整理資料。
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This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.
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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
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This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you'll finalize your resume updates and put to practice all the new interview techniques you've learned, preparing you to confidently apply for and interview for jobs in the field.
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This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You'll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you'll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
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Take these next steps to learn more about the Google Security Operations Platform. Build on fundamental knowledge to go deeper on customization and tuning.
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This course covers the baseline skills needed for the Google Security Operations Platform. The modules will cover specific actions and features that security engineers should become familiar with to start using the toolset.
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This is the fifth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll combine and apply the foundational knowledge and skills from courses 1-4 in a hands-on Capstone project that focuses on the full data lifecycle project. You’ll practice using cloud-based tools to acquire, store, process, analyze, visualize, and communicate data insights effectively. By the end of the course, you’ll have completed a project demonstrating their proficiency in effectively structuring data from multiple sources, presenting solutions to varied stakeholders, and visualizing data insights using cloud-based software. You’ll also update your resume and practice interview techniques to help prepare for applying and interviewing for jobs.
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This is the fourth of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll focus on developing skills in the five key stages of visualizing data in the cloud: storytelling, planning, exploring data, building visualizations, and sharing data with others. You’ll also gain experience using UI/UX skills to wireframe impactful, cloud-native visualizations and work with cloud-native data visualization tools to explore datasets, create reports, and build dashboards that drive decisions and foster collaboration.
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This is the third of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll begin by getting an overview of the data journey, from collection to insights. You’ll then learn how to use SQL to transform raw data into a usable format. Next, you’ll learn how to transform high volumes of data with a data pipeline. Finally, you’ll gain experience applying transformation strategies to real data sets to solve business needs.
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隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。
您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
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完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。
完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第三門課涵蓋雲端自動化和管理工具，以及建構安全網路。
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只要修完「在 Google Cloud 設定應用程式開發環境」課程，就能獲得技能徽章。 在本課程中，您將學會如何使用以下技術的基本功能，建構和連結以儲存空間為中心的雲端基礎架構：Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程，即可證明您具備下列技能： 在 Compute Engine 建立及部署虛擬機器， 以及設定網路和應用程式負載平衡器。
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This is the second of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll explore how data is structured and organized. You’ll gain hands-on experience with the data lakehouse architecture and cloud components like BigQuery, Google Cloud Storage, and DataProc to efficiently store, analyze, and process large datasets.
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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
本系列的最後一堂課回顧了代管大數據服務、機器學習與這項技術的價值，以及如何獲得技能徽章，進一步展示您的 Google Cloud 技能。
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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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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第一門課會概略說明雲端運算、Google Cloud 的使用方式，以及不同的運算選項。
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組織將資料和應用程式遷移至雲端後，必須因應快速變化的安全性挑戰。本課程將探討雲端安全性的基礎知識、Google Cloud 融入安全考量設計的基礎架構價值，以及縱深防禦策略。此外，還會著重說明如何透過 AI 輔助作業和法規遵循工具，協助組織滿足嚴格的全球法規要求。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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許多傳統企業使用舊版系統和應用程式，無法滿足現今客戶的期望。企業主管經常需要在維護老舊的 IT 系統，以及投資新產品/服務之間做出選擇。本課程將探討這些挑戰，並提供解決方案，說明如何運用雲端技術克服難題。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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人工智慧 (AI) 和機器學習 (ML) 象徵著資訊技術的重大演進，正迅速改變各行各業。在「運用 Google Cloud 人工智慧推動創新」課程中，我們會探討組織如何運用 AI 和機器學習技術，翻轉業務流程。
本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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雲端技術是強大的資產，與資料搭配後，將成為創新和提升客戶體驗的催化劑。「運用 Google Cloud 探索資料轉換功能」課程將探討機構如何運用雲端，讓資料更易於存取、做為行動依據和更有價值。
這門課程是 Cloud Digital Leader 學習路徑的一部分，旨在協助個人在職務上成長，並打造企業的未來。
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數位轉型是現代組織必經的關鍵旅程，而建立穩固的雲端運算基礎，是跨出有意義創新的第一步。本課程「透過 Google Cloud 進行數位轉型」，將會介紹核心技術和策略框架，協助組織革新營運方式，並探討基本的雲端概念、全球網路基礎架構和共同責任模式，幫助主管在雲端之路上自信前行。本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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This course builds on some of the concepts covered in the earlier Google Sheets course.
In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options.
You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet.
Spreadsheets can hold millions of numbers, formulas, and text. Making sense of all of that data can be difficult without a summary or visualization. This course explores the data visualization options in Google Sheets, such as charts and pivot tables.
Google Forms are online surveys used to collect data and provide the opportunity for quick data analysis. You will explore how Forms and Sheets work together by connecting collected Form data to a spreadsheet, or by creating a Form from an existing spreadsheet.
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Gmail is Google’s cloud based email service that allows you to access your messages from any computer or device with just a web browser.
In this course, you’ll learn how to compose, send and reply to messages. You will also explore some of the common actions that can be applied to a Gmail message, and learn how to organize your mail using Gmail labels.
You will explore some common Gmail settings and features. For example, you will learn how to manage your own personal contacts and groups, customize your Gmail Inbox to suit your way of working, and create your own email signatures and templates.
Google is famous for search. Gmail also includes powerful search and filtering. You will explore Gmail’s advanced search and learn how to filter messages automatically.
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各種規模的機構都開始運用雲端的強大功能和靈活性，徹底改變營運方式。不過，有效管理及擴充雲端資源可能是相當複雜的工作。本課程將探討在雲端中的現代營運、可靠性和韌性的基礎概念，以及 Google Cloud 如何協助您達成這些目標。本課程是 Cloud Digital Leader 學習路徑的一部分，旨在促進個人職能發展，並打造企業的未來。
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With Google Docs, your documents are stored in the cloud, and you can access them from any computer or device. You create and edit documents right in your web browser; no special software is required. Even better, multiple people can work at the same time, you can see people’s changes as they make them, and every change is saved automatically.
In this course, you will learn how to open Google Docs, create and format a new document, and apply a template to a new document.
You will learn how to enhance your documents using a table of contents, headers and footers, tables, drawings, images, and more.
You will learn how to share your documents with others. We will discuss your sharing options and examine collaborator roles and permissions. You will learn how to manage versions of your documents.
Google Docs allows you to work in real time with others on the same document. You will learn how to create and manage comments and action items in your documents.
We will review a few of the G…
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In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace.
You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links.
We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments.
You learn about using host controls in Google Meet to manage participants and utilize interactive moderation features. You also learn how to record and live stream video conferences.
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這個入門微學習課程主要介紹「負責任的 AI 技術」和其重要性，以及 Google 如何在自家產品中導入這項技術。本課程也會說明 Google 的 7 個 AI 開發原則。
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這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
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這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
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完成 透過 Vertex AI 建構及部署機器學習解決方案 課程，即可瞭解如何使用 Google Cloud 的 Vertex AI 平台、AutoML 和自訂訓練服務， 訓練、評估、調整、解釋及部署機器學習模型。 這個技能徽章課程適合專業數據資料學家和機器學習 工程師，完成即可取得中階技能徽章。技能 徽章是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境應用相關知識。完成這個技能徽章課程 和結業評量挑戰實驗室，就能獲得數位徽章， 並與親友分享。
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Explore the fundamentals of Flutter application development in this hands-on quest! Within this quest, you will build a "Hello World" Flutter application, design a frontend for a shopping application, and learn how to connect your Flutter applications to backend services. Each lab in this quest utilizes a pre-provisioned development environment allowing minimal setup to get into the application code!
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不想花費大把時間，想在幾分鐘內只靠 SQL，就建立好機器學習模型嗎？透過 BigQuery ML，資料分析師可以運用現有的 SQL 工具和技巧，建立、訓練、評估模型， 並使用模型進行預測，降低機器學習的使用門檻。在 本系列的實驗室，您會測試不同類型的模型，瞭解 優良模型應具備的條件。
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Earn a skill badge by completing the Explore Machine Learning Models with Explainable AI quest, where you will learn how to do the following using Explainable AI: build and deploy a model to an AI platform for serving (prediction), use the What-If Tool with an image recognition model, identify bias in mortgage data using the What-If Tool, and compare models using the What-If Tool to identify potential bias. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest and the final assessment challenge lab to receive a skill badge that you can share with your network.
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Earn a skill badge by completing the Automate Interactions with Contact Center AI quest, where you will learn about the features of Contact Center AI, including how to Build a virtual agent, Design conversation flows for your virtual agent; Add a phone gateway to your virtual agent; Use Dialogflow for troubleshooting; Review logs and debug your virtual agent. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。
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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「建構安全的 Google Cloud 網路」課程，即可獲得技能徽章。本課程將說明多項網路相關 資源，協助您在 Google Cloud 建構、調度資源和保護應用程式。
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。
完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第三門課涵蓋雲端自動化和管理工具，以及建構安全網路。
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在這堂入門課程，您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片， 針對實驗室涵蓋的概念提供更多背景資訊，協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課， 即使您尚未學習或不熟悉雲端知識， 也能從這堂課獲得實務經驗，並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器，還是在 Kubernetes Engine 或透過負載平衡執行應用程式， 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。
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只要修完「在 Google Cloud 設定應用程式開發環境」課程，就能獲得技能徽章。 在本課程中，您將學會如何使用以下技術的基本功能，建構和連結以儲存空間為中心的雲端基礎架構：Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程，即可證明您具備下列技能： 在 Compute Engine 建立及部署虛擬機器， 以及設定網路和應用程式負載平衡器。
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This course, Google Cloud Computing Foundations: Cloud Computing Fundamentals - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Google Cloud Computing Foundations: Cloud Computing Fundamentals .The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in.
By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.
The courses should be completed in the following order:
1. Google Cloud Computing Foundations: Cloud Computing Fundamentals
2. Google Cloud Computing Foundations: Infrastructure in Google Cloud
3. Google Cloud Computing Foundations: Networking and Security in Google Cloud
4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud
…
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