Scaling with Google Cloud Operations
Earned Oct 17, 2023 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Oct 17, 2023 EDT
Exploring Data Transformation with Google Cloud
Earned Oct 16, 2023 EDT
Digital Transformation with Google Cloud
Earned Oct 16, 2023 EDT
Google Cloud 資料分析簡介
Earned Oct 6, 2023 EDT
Hybrid Cloud Infrastructure Foundations with Anthos
Earned Oct 2, 2023 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Sep 28, 2023 EDT
Data Catalog Fundamentals
Earned Sep 28, 2023 EDT
從 BigQuery 資料取得深入分析結果
Earned Sep 26, 2023 EDT
運用 BigQuery ML 建立機器學習模型
Earned Sep 26, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Sep 26, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Sep 26, 2023 EDT
負責任的 AI 技術簡介
Earned Sep 25, 2023 EDT
在 Looker 建構 LookML 物件
Earned Sep 25, 2023 EDT
Looker 資料模型管理
Earned Sep 25, 2023 EDT
Developing Data Models with LookML
Earned Jul 13, 2023 EDT
在 Looker 應用進階 LookML 概念
Earned Jul 12, 2023 EDT
Understanding LookML in Looker
Earned Jul 11, 2023 EDT
大型語言模型簡介
Earned Jul 11, 2023 EDT
Analyzing and Visualizing Data in Looker
Earned Jul 11, 2023 EDT
生成式 AI 簡介
Earned Jul 11, 2023 EDT
為 Looker 資訊主頁和報表準備資料
Earned Jul 10, 2023 EDT
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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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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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 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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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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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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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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Start your next Arcade Adventure that will set you on the path to becoming a Professional Cloud Database Engineer. Pick up essential BigQuery and Firebase skills, and earn an exclusive Google Cloud credential along the way!
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This Diwali, learn image classification with AutoML, uncover insights with Looker, bring images to life with the Vision API, and more! Celebrate the festival of lights by earning an exclusive Google Cloud Credential and brighten your cloud skills—no prior experience needed!
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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
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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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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「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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完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。
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本課程旨在說明負責任 AI 技術的概念和 AI 開發原則，同時介紹各項技術，在實務上找出公平性和偏誤，減少 AI/機器學習做法上的偏誤。我們也將探討實用方法和工具，透過 Google Cloud 產品和開放原始碼工具，導入負責任 AI 技術的最佳做法。
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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Explore the essentials of database management with Google Cloud. Get practical experience with AlloyDB, Cloud Spanner, and Cloud SQL. Learn to build data connectors, trace data lineage, and manage backups and performance tuning. Whether you're experienced or new to the cloud, you can get your hands on this latest Google Cloud Credential!
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Earn your newest Google Cloud Credential by gaining Security and Identity on the Google Cloud Platform. Gain hands-on experience in managing authentication, authorization, and identity with Vault, creating dynamic secrets, and implementing core cloud security principles. You'll also learn to deploy fault-tolerant environments, secure data lakes, and enhance network security. Whether you're new to cloud security or seeking to advance your skills, this level is designed to solidify your expertise.
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Hey there! You're invited to game on with the Arcade Trivia for September Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the September Trivia Week 2 badge!
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Hey there! You're invited to game on with the Arcade Trivia for September Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the September Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for September Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the September Trivia Week 3 badge!
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Hey there! You're invited to game on with the Arcade Trivia for September Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the September Trivia Week 1 badge!
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Discover Generative AI and Language Learning through hands-on labs that push your Google Cloud skills further and earn an exclusive Google Cloud Credential that recognizes your ability to tackle real-world challenges.
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Hey there! You're invited to game on with the Arcade Trivia for August Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 4 badge!
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Gemini 版 Google Workspace 是一項外掛程式，可讓使用者存取生成式 AI 功能。本課程會使用影片、實作活動和練習範例，深入介紹 Gemini 版 Google Meet 的功能。您會學到如何透過 Gemini 生成背景圖片、提升視訊品質及翻譯字幕。本課程結束後，您將具備 Gemini 版 Google Meet 的知識及技能，安心運用這項工具提高視訊會議的效率。
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安裝 Gemini 版 Google Workspace 外掛程式後，客戶就能在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Google 試算表善用這些功能，提高生產力和效率。
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Gemini for Google Workspace 是一項外掛程式，可讓使用者存取生成式 AI 功能。本課程使用影片、實作活動和練習範例，深入介紹 Google 雲端硬盤中的 Gemini 的功能。 課程結束後，您將具備 Google 雲端硬盤中的 Gemini 的知識及技能，可自信地運用這項工具提升工作流程的效率。
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Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Google 簡報善用這些功能，提高生產力和效率。
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使用者將能透過 Gemini 版 Google Workspace 外掛程式運用生成式 AI 功能。本課程會使用影片、實作活動和練習範例，深入介紹 Gemini 版 Google 文件的功能。您將學到如何透過 Gemini 使用提示生成撰寫內容、編輯寫好的文字，以提升整體工作效率。本課程結束後，您將具備 Gemini 版 Google 文件的知識及技能，可自信地運用這項工具提升寫作品質。
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Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Gmail 善用這些功能，提高生產力和效率。
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客戶能透過 Gemini 版 Google Workspace 外掛程式在 Google Workspace 使用生成式 AI 功能。本學習路徑會介紹 Gemini 的主要功能，並說明如何在 Google Workspace 善用這些功能，提高生產力和效率。
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本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型，並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室，您將能探索從提示到正式環境的生命週期，同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio，在專案中發揮生成式 AI 的潛能。
本課程將介紹擴散模型，這是一種機器學習模型，近期在圖像生成領域展現亮眼潛力。概念源自物理學，尤其深受熱力學影響。過去幾年來，在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中，擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論，並說明如何在 Vertex AI 上訓練和部署這些模型。
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Sports are captivating, intense, and fast-paced—and with the latest technology, they’re better than ever. Start your run in the Arcade-athon and earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud's powerful tools and techniques that are transforming your favorite sports!
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完成 在 Vertex AI 設計提示 技能徽章入門課程，即可證明您具備下列技能： 在 Vertex AI 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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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
完成使用預訓練 API 實現語音和語言解決方案課程以獲得技能徽章，了解如何使用與語音相關的 API 工具來合成和轉錄語音。
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Hey there! You're invited to game on with the Arcade Trivia for August Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 3 badge!
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完成「使用 Google Cloud Speech API」課程，即可獲得技能徽章。本課程將說明如何建立 Speech-to-Text API 要求、將音訊 及語音轉錄為文字。
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完成在 Google Cloud 實作 CI/CD 管道技能徽章中階課程，即可獲得技能徽章。 您將透過本課程學習如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy，並且操作 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE。本課程會介紹如何建構持續整合 管道、儲存及保護構件、掃描安全漏洞、驗證 已核准的發布版本是否有效。此外，您還會實際操作，將應用程式 同時部署至 GKE 和 Cloud Run。
完成透過 Google Cloud 建構網站技能徽章課程，即可獲得入門級技能徽章。 本課程以 Get Cooking in Cloud 系列影片為基礎， 涵蓋以下主題：在 Cloud Run 部署網站在 Compute Engine 託管網頁應用程式在 Google Kubernetes Engine 建立、 部署及擴充網站使用 Cloud Build 將單體式應用程式遷移至微服務架構
Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone. Be one of the first 20 people to complete the challenge and earn a 100% discount voucher for your next Google Cloud Digital Leader Examination. Welcome!
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Hey there! You're invited to game on with the Arcade Trivia for August Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 2 badge!
Earn a skill badge by completing the Networking Fundamentals on Google Cloud quest, where you learn how to work with VPC networks and load balancers on Google Cloud. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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Earn an exclusive Google Cloud Credential by gaining hands-on experience with Google Cloud Functions. Learn to create and deploy serverless functions across various programming languages, including Node.js, .NET, PHP, Ruby, and Python. Ideal for everyone, even if you are new to the cloud!
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From creating and optimizing ML models using BigQuery ML, deploying advanced chatbots with Dialogflow CX, to developing no-code chat apps using AppSheet, explore a series of challenges designed to enhance your Google Cloud skills and earn an exclusive Google Cloud Credential!
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Earn an exclusive Google Cloud Credential by gaining practical experience in app development and deployment on the Google Cloud Platform. Learn to build, manage, and scale applications while setting up development environments, storing data, and deploying apps. Perfect for you, even if you are new to the cloud!
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
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Hey there! You're invited to game on with the Arcade Trivia for August Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the August Trivia Week 1 badge!
完成「在 Google Cloud 使用 Terraform 建構基礎架構」技能徽章中階課程， 即可證明自己具備下列知識與技能：使用 Terraform 的基礎架構即程式碼 (IaC) 原則、運用 Terraform 設定佈建及管理 Google Cloud 資源、有效管理狀態 (本機和遠端)，以及將 Terraform 程式碼模組化，以利重複使用和管理。
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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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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Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task.
Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences.
“Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible.
Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
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There's much excitement about cloud technology and digital transformation, but often many unanswered questions.
For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin?
If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.
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這堂初級課程將介紹 Google Cloud 的資料分析工作流程，以及用於探索、分析資料並以圖表呈現的工具。您也能學會如何與相關人員分享自己的發現結果。本課程包含個案研究、實作實驗室、講座、測驗和示範，實際展示如何將原始資料集轉化為清晰的資料，進而呈現出能發揮成效的圖表和資訊主頁。無論您是資料領域從業人員、想瞭解如何透過 Google Cloud 取得成功，或有意在職涯中更上一層樓，本課程都能協助您踏出第一步。絕大多數在工作上執行或運用資料分析的學員，都能從本課程受益。
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Welcome to Hybrid Cloud Infrastructure Foundations with Anthos!
This is the first course of the Architecting Hybrid Cloud Infrastructure with Anthos path. Anthos enables you to build and manage modern applications, and gives you the freedom to choose where to run them. Anthos gives you one consistent experience in both your on-premises and cloud environments.
During this course, you will be presented with modules that will take you through skills that you will use as an architect or administrator running Anthos environments. The modules in this course include videos, hands-on labs, and links to helpful documentation.
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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 Dataproc 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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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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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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「Introduction to Generative AI」、「Introduction to Large Language Models」和「Introduction to Responsible AI」課程，即可獲得技能徽章。通過最終測驗，就能展現您對生成式 AI 基本概念的掌握程度。
「技能徽章」是 Google Cloud 核發的數位徽章，用於表彰您對 Google Cloud 產品和服務的相關知識。您可以將技能徽章公布在社群媒體的個人資料中，向其他人分享您的成果。
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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。
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
In this quest, you will get hands-on experience with LookML in Looker. You will learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML.
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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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In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
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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。
Google Cloud 資料分析功能簡介
Earned Dec 11, 2025 EST
在 Cloud 管理與儲存資料
Earned Dec 10, 2025 EST
在 Cloud 轉換資料
Earned Dec 10, 2025 EST
資料敘事的強大力量：如何在 Cloud 以圖表呈現資料
Earned Dec 10, 2025 EST
綜合應用：為 Cloud 資料分析師工作做準備
Earned Dec 10, 2025 EST
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Feb 25, 2025 EST
The Power of Storytelling: How to Visualize Data in the Cloud
Earned Feb 25, 2025 EST
Data Transformation in the Cloud
Earned Feb 25, 2025 EST
Data Management and Storage in the Cloud
Earned Feb 25, 2025 EST
Level 3: BigQuery and Firebase
Earned Dec 10, 2024 EST
Diwali in The Arcade
Earned Nov 4, 2024 EST
Introduction to Data Analytics in Google Cloud
Earned Oct 24, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 基礎架構
Earned Oct 15, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
Earned Oct 15, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned Oct 15, 2024 EDT
建構安全的 Google Cloud 網路
Earned Oct 15, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Oct 15, 2024 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Oct 15, 2024 EDT
開發人員的負責任 AI 技術：公平性與偏誤
Earned Sep 22, 2024 EDT
The Arcade Certification Zone September 2024
Earned Sep 21, 2024 EDT
The Arcade Base Camp September 2024
Earned Sep 12, 2024 EDT
Level 2: Databases
Earned Sep 10, 2024 EDT
Level 1: Security and Identity
Earned Sep 6, 2024 EDT
The Arcade Trivia September 2024 Week 2
Earned Sep 6, 2024 EDT
The Arcade Trivia September 2024 Week 4
Earned Sep 4, 2024 EDT
The Arcade Trivia September 2024 Week 3
Earned Sep 4, 2024 EDT
The Arcade Trivia September 2024 Week 1
Earned Sep 3, 2024 EDT
Level 3: GenAIus Chats
Earned Sep 2, 2024 EDT
The Arcade Trivia August 2024 Week 4
Earned Aug 27, 2024 EDT
Gemini in Google Meet
Earned Aug 25, 2024 EDT
Gemini in Google Sheets
Earned Aug 25, 2024 EDT
Gemini in Google Drive
Earned Aug 25, 2024 EDT
Gemini in Google Slides
Earned Aug 25, 2024 EDT
Gemini in Google Docs
Earned Aug 25, 2024 EDT
Gemini in Gmail
Earned Aug 25, 2024 EDT
Gemini for Google Workspace 簡介
Earned Aug 25, 2024 EDT
Vertex AI Studio 簡介
Earned Aug 24, 2024 EDT
建立圖像說明生成模型
Earned Aug 24, 2024 EDT
Transformer 和 BERT 模型
Earned Aug 24, 2024 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Aug 24, 2024 EDT
編碼器-解碼器架構
Earned Aug 24, 2024 EDT
注意力機制
Earned Aug 24, 2024 EDT
圖像生成簡介
Earned Aug 24, 2024 EDT
The Arcade-athon
Earned Aug 23, 2024 EDT
在 Vertex AI 設計提示
Earned Aug 21, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Aug 21, 2024 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace
Earned Aug 20, 2024 EDT
使用預訓練 API 實現語音和語言解決方案
Earned Aug 20, 2024 EDT
The Arcade Trivia August 2024 Week 3
Earned Aug 20, 2024 EDT
使用 Google Cloud Speech API
Earned Aug 19, 2024 EDT
在 Google Cloud 實作 CI/CD 管道
Earned Aug 19, 2024 EDT
實現 Cloud Storage 和數據保護解決方案
Earned Aug 18, 2024 EDT
充實中繼資料及發掘 BigLake 資料
Earned Aug 18, 2024 EDT
透過 Google Cloud 建構網站
Earned Aug 18, 2024 EDT
使用 Chrome Enterprise Premium 安全功能保護雲端流量
Earned Aug 17, 2024 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI
Earned Aug 17, 2024 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned Aug 17, 2024 EDT
使用 Firebase 開發無伺服器應用程式
Earned Aug 16, 2024 EDT
搭配使用 API 和 Cloud Storage
Earned Aug 15, 2024 EDT
在 BigQuery 執行預測資料分析
Earned Aug 14, 2024 EDT
The Arcade Certification Zone August 2024
Earned Aug 14, 2024 EDT
The Arcade Trivia August 2024 Week 2
Earned Aug 13, 2024 EDT
Google Cloud Compute 基本操作
Earned Aug 12, 2024 EDT
App Engine：3 種應用
Earned Aug 12, 2024 EDT
DEPRECATED Networking Fundamentals on Google Cloud
Earned Aug 12, 2024 EDT
Level 3: Google Cloud Functions
Earned Aug 12, 2024 EDT
Level 2: Machine Learning and AI Skills
Earned Aug 11, 2024 EDT
Level 1: Application Development and Deployment
Earned Aug 9, 2024 EDT
The Arcade Base Camp August 2024
Earned Aug 7, 2024 EDT
The Arcade Trivia August 2024 Week 1
Earned Aug 6, 2024 EDT
在 Cloud Storage 建立安全的資料湖泊
Earned Aug 5, 2024 EDT
在連結試算表中分析 BigQuery 資料
Earned Aug 5, 2024 EDT
在 Google Cloud 使用 TensorFlow 分類圖像
Earned Aug 4, 2024 EDT
實現事件驅動的即時訊息與自動化工作流
Earned Aug 4, 2024 EDT
實現雲端協作與生產力工作流
Earned Aug 4, 2024 EDT
在 Google 試算表使用函式、公式及圖表
Earned Aug 4, 2024 EDT
在 Google Cloud 儲存、處理與管理資料 - 指令列
Earned Aug 3, 2024 EDT
使用 Cloud Run 函式建構無伺服器應用程式
Earned Aug 3, 2024 EDT
為 Google Cloud 設定服務帳戶和 IAM 角色
Earned Aug 3, 2024 EDT
建立 Google Cloud 網路
Earned Aug 1, 2024 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Aug 1, 2024 EDT
Trust and Security with Google Cloud
Earned Aug 1, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned Aug 1, 2024 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Jul 31, 2024 EDT
使用 API Gateway 部署及保護無伺服器 API
Earned Jul 31, 2024 EDT
使用 Natural Language API 分析情緒
Earned Jul 30, 2024 EDT
使用 AppSheet 建構應用程式
Earned Jul 30, 2024 EDT
開始使用 Looker
Earned Jul 30, 2024 EDT
以串流方式將分析資料傳入 BigQuery
Earned Jul 30, 2024 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned Jul 27, 2024 EDT
在 Google Cloud 使用機器學習 API
Earned Jul 27, 2024 EDT
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals
Earned Jul 26, 2024 EDT
透過 BigQuery 建構資料倉儲
Earned Jul 26, 2024 EDT
建構適用於 AWS 專家的 Google Cloud 基礎架構
Earned Jul 26, 2024 EDT
Gemini 和 Imagen 實務應用：建構 AI 應用程式
Earned Jul 26, 2024 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Jul 26, 2024 EDT
監控及管理 Google Cloud 資源
Earned Jul 24, 2024 EDT
在 Google Cloud 儲存、處理與管理資料 - 控制台
Earned Jul 24, 2024 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jul 24, 2024 EDT
管理 Google Cloud 中的 Kubernetes
Earned Jul 23, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jul 23, 2024 EDT
Scaling with Google Cloud Operations
Earned Oct 17, 2023 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Oct 17, 2023 EDT
Exploring Data Transformation with Google Cloud
Earned Oct 16, 2023 EDT
Digital Transformation with Google Cloud
Earned Oct 16, 2023 EDT
Google Cloud 資料分析簡介
Earned Oct 6, 2023 EDT
Hybrid Cloud Infrastructure Foundations with Anthos
Earned Oct 2, 2023 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Sep 28, 2023 EDT
Data Catalog Fundamentals
Earned Sep 28, 2023 EDT
從 BigQuery 資料取得深入分析結果
Earned Sep 26, 2023 EDT
運用 BigQuery ML 建立機器學習模型
Earned Sep 26, 2023 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Sep 26, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Sep 26, 2023 EDT
負責任的 AI 技術簡介
Earned Sep 25, 2023 EDT
在 Looker 建構 LookML 物件
Earned Sep 25, 2023 EDT
Looker 資料模型管理
Earned Sep 25, 2023 EDT
Developing Data Models with LookML
Earned Jul 13, 2023 EDT
在 Looker 應用進階 LookML 概念
Earned Jul 12, 2023 EDT
Understanding LookML in Looker
Earned Jul 11, 2023 EDT
大型語言模型簡介
Earned Jul 11, 2023 EDT
Analyzing and Visualizing Data in Looker
Earned Jul 11, 2023 EDT
生成式 AI 簡介
Earned Jul 11, 2023 EDT
為 Looker 資訊主頁和報表準備資料
Earned Jul 10, 2023 EDT