Virzan Pasa Nugraha
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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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 2 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for May 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 May Trivia Week 1 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.
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。
完成在 BigQuery 執行預測資料分析技能徽章中階課程, 即可證明您具備下列技能:可匯入 CSV 和 JSON 檔案,在 BigQuery 建立資料集; 可運用 BigQuery 的強大功能與複雜的 SQL 分析概念,包括使用 BigQuery ML 根據足球賽事資料訓練出預期進球模型,評估世界盃進球的精彩程度。
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.
完成「搭配使用 API 和 Cloud Storage」 技能徽章入門課程,即可證明您具備下列技能: 搭配使用 API 和 Cloud Storage 資源,包括 Cloud Storage API。
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。
完成 透過 Google Cloud Observability 監控及記錄系統狀態 技能徽章入門課程, 即可證明您具備下列技能:監控 Compute Engine 中的虛擬機器、 運用 Cloud Monitoring 監管多項專案、在 Cloud Functions 延伸應用監控和記錄功能、 建立和傳送自訂應用程式指標,以及根據自訂指標設定 Cloud Monitoring 快訊。
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
完成使用 Google Cloud Managed Service for Prometheus 監控環境技能徽章課程,學習透過 Google Cloud Managed Service for Prometheus 監控 Kubernetes,即可獲得技能徽章。
完成 運用 Cloud Run 開發無伺服器應用程式 技能徽章中階課程, 即可證明您具備下列技能:整合 Cloud Run 和 Cloud Storage 以管理資料、 使用 Cloud Run 和 Pub/Sub 架構可復原的非同步系統、 使用 Cloud Run 建構 REST API 閘道,以及在 Cloud Run 建構及部署服務。
完成 在 Google Cloud 實作 Cloud 安全防護措施:基礎知識 技能徽章中階課程, 即可證明您具備下列技能:運用 Identity and Access Management (IAM) 建立及指派角色、 建立及管理服務帳戶、啟用虛擬私有雲 (VPC) 網路中的私人連線、 運用 Identity-Aware Proxy 限制應用程式存取權、 運用 Cloud Key Management Service (KMS) 管理金鑰和已加密資料,以及建立私人 Kubernetes 叢集。
完成「使用 Apps Script 整合 BigQuery 資料與 Google Workspace」技能徽章入門課程,即可證明您瞭解如何透過 AppSheet 將 Workspace 產品連結至 BigQuery。
完成「Google Cloud 監控工具」技能徽章入門課程, 即可證明您具備下列技能:使用 Cloud Monitoring 工具監控 Google Cloud 資源。
Cloud Storage、Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服務, 可用於儲存、處理及管理資料。您可以整合運用這三種服務, 打造各式各樣的資料導向應用程式。在這個技能徽章課程中, 您將使用 Cloud Storage 儲存圖片、透過 Cloud Functions 處理, 並利用 Cloud Pub/Sub 將圖片傳送至其他應用程式。
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。
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。
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。
完成 雲端架構:設計、實作與管理 課程即可獲得 技能徽章,證明您具備下列技能: 使用 Apache 網路伺服器部署可公開存取的網站、使用開機指令碼設定 Compute Engine VM、 使用 Windows 防禦主機和防火牆規則設定安全的 RDP、建構 Docker 映像檔並部署至 Kubernetes 叢集,然後進行更新,以及建立 Cloud SQL 執行個體並匯入 MySQL 資料庫。 這個技能徽章課程是絕佳的 資源,可讓您瞭解Google Cloud 認證專業雲端架構師認證測驗涵蓋的主題。
完成 建立 Google Cloud 網路 課程即可獲得技能徽章。這個課程將說明 部署及監控應用程式的多種方法,包括查看 IAM 角色及新增/移除 專案存取權、建立虛擬私有雲網路、部署及監控 Compute Engine VM、編寫 SQL 查詢、在 Compute Engine 部署及監控 VM,以及 使用 Kubernetes 透過多種方法部署應用程式。
完成 在 Google Cloud 部署 Kubernetes 應用程式 技能徽章中階課程,即可證明您具備下列技能: 設定及建構 Docker 容器映像檔、建立及管理 Google Kubernetes Engine (GKE) 叢集、運用 kubectl 有效 管理叢集,以及運用強大的持續推送軟體更新做法來部署 Kubernetes 應用程式。
完成「在 Google Cloud 使用 TensorFlow 分類圖像」技能徽章中階課程, 瞭解如何使用 TensorFlow 和 Vertex AI 建立及訓練機器學習模型, 即可獲得技能徽章。在 Vertex AI Workbench 中,你主要會和使用者自行管理的筆記本 互動。
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.
完成「監控及管理 Google Cloud 資源」技能徽章入門課程,即可證明您具備下列技能:授予及撤銷 IAM 權限; 安裝 Monitoring 和 Logging 代理程式;建立、部署及測試事件導向的 Cloud Run 函式。
Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 4 badge!
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。
完成「使用 API Gateway 部署及保護無伺服器 API」課程,即可獲得技能徽章。 本課程將說明如何使用 API Gateway,透過全代管閘道部署、保護及管理 API。
Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.
完成 Google Kubernetes Engine 成本效益最佳化 技能徽章中階課程, 即可證明您具備下列技能:建立及管理多租戶叢集、依據命名空間監控資源使用量、 設定自動調度叢集和 Pod 資源以提升效能、設定負載平衡以最佳化 資源分配,以及導入有效性和完備性探測,確保應用程式維持健康並符合成本效益。
完成使用 Security Command Center 緩解威脅及修復安全漏洞技能徽章中階課程,即可證明您具備下列技能: 防範及管理環境威脅、找出並修復應用程式安全漏洞,以及應對安全異常狀況。
完成 在 Google Cloud 實作 DevOps 工作流程 技能徽章中階課程, 即可證明您具備下列技能:建立與管理 Git 存放區、 在 Google Kubernetes Engine (GKE) 發布、管理和調度 Deployment, 以及建立 CI/CD 管道,自動建構容器映像檔與執行 GKE 部署作業。
Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 3 badge!
Cloud Storage、Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服務, 可用於儲存、處理及管理資料。您可以整合運用這三種服務, 打造各式各樣的資料導向應用程式。您將在本次課程中 使用 Cloud Storage 儲存圖片、透過 Cloud Functions 處理圖片, 並利用 Cloud Pub/Sub 將圖片傳送至其他應用程式。
完成「使用 Dataplex 整理及管理資料」技能徽章入門課程,即可證明您具備下列技能:建立 Dataplex 資產、建立切面類型,以及將切面套用至 Dataplex 中的項目。 技能徽章課程透過實作實驗室和挑戰評量,檢驗學員對於特定產品的實作知識。 完成課程或直接進行挑戰實驗室,即可取得徽章。徽章可證明您的專業能力、提升專業形象,開創更多職涯發展機會。前往個人資料頁面,追蹤您獲得的徽章。
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.
完成 建構適用於 AWS 專家的 Google Cloud 基礎架構 課程即可獲得技能徽章。在這個課程,您將學會如何設定 IAM 權限、 使用 Kubernetes 自動調度管理工作負載、透過 Compute Engine 託管網頁應用程式, 以及設定負載平衡機制。
完成「使用 Cloud Run functions 建構無伺服器應用程式」課程,即可獲得入門技能徽章。在這個課程,您將學會如何透過 Google Cloud 控制台和指令列,使用 Cloud Run functions。 技能徽章課程透過實作實驗室和挑戰評量,檢驗學員對於特定產品的實作知識。完成課程或直接進行挑戰實驗室, 即可取得徽章。徽章可證明您的專業能力、提升專業形象,開創更多職涯發展機會。前往個人資料頁面,追蹤您獲得的徽章。
完成「充實中繼資料及發掘 Lakehouse 資料」技能徽章課程,即可證明您具備 BigQuery、 Lakehouse 和 Knowledge Catalog 的相關技能。您會建立 Lakehouse 資料表,並充實中繼資料管理和資料表資料探索功能。
完成「實現事件驅動的即時訊息與自動化工作流」任務,即可獲得 技能徽章。 技能徽章課程,您將瞭解如何透過 Cloud 控制台使用 Pub/Sub、 如何使用 Cloud Scheduler 工作節省心力,並透過 Pub/Sub Lite 節省擷取大量事件 的費用。
完成「Google Cloud Compute 基本操作」任務, 學習如何在 Compute Engine 中使用虛擬機器 (VM)、永久磁碟 和網路伺服器,即可獲得技能徽章。
In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace. With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required. Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically. You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types. Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet. Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…
With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more. Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved. You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations. You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your presentation for visual effects. We will discuss how to organize slides and explore some of the options, including duplicating and ordering your slides, importi…
「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。
「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。
「生成式 AI:掌握幕後技術與環境」是 Generative 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,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?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,以及選擇解決方案時應考量的因素。
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.
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.
In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.
This course explores using enterprise design patterns to build scalable, reliable, and secure agents within CX Agent Studio. Additionally, it covers navigating the complete development lifecycle by deploying multi-layered application security and locking down cloud infrastructure perimeters. It details the core pillars of multi-turn session persistence and real-time audio supervision to facilitate safe, continuous conversational experiences.
This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.
「生成式 AI: 瞭解基礎概念」是 Generative 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,以及各種資料類型如何協助生成式 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 應對基礎 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。
「生成式 AI:不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。
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…
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.
With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together. In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar. You will understand when to apply different event types such as tasks and appointment schedules. You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working. During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.
Learn how to streamline healthcare data management with cloud technology. In these hands-on labs, you'll work with FHIR and HL7v2 data using the Healthcare API, de-identify medical images, and build a secure data lake on Cloud Storage. You'll also explore ways to cut cost and process large datasets with Cloud Dataproc. Whether it's managing patient records or securing sensitive data, these labs will equip you with the skills to enhance healthcare technology.
Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 2 badge!
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.
完成「管理 Google Cloud 中的 Kubernetes」技能徽章中階課程, 即可證明您具備下列技能:使用 kubectl 管理部署作業、 在 Google Kubernetes Engine (GKE) 監控應用程式與偵錯,以及運用技術持續推送軟體更新。
完成 在 Google Cloud 實作 Sensitive Data Protection 技能徽章入門課程,證明您具備下列技能:使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。
Get hands-on with Google Cloud’s core infrastructure and API capabilities. These labs walk you through deploying virtual machines, setting up network load balancers, and provisioning services through Cloud Marketplace. You'll also explore API management with API Gateway and enhance security with Cloud Data Loss Prevention and earn an exclusive Google Cloud Credential!
Build smarter, more connected applications while keeping security at the forefront. These hands-on labs take you through creating dynamic Gmail Add-ons, Google Chat Bots, and AI-powered document tools. You'll also explore securing cloud environments with Binary Authorization, detecting threats with Security Command Center, and monitoring performance with Google Cloud’s managed services. Get ready to develop, secure, and optimize with confidence!
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.
Welcome to the Arcade Quiz, where every question is a chance to learn, explore, and challenge yourself. Explore a variety of intriguing topics, put your cloud knowledge to the test, and complete all the challenges to earn an exclusive Google Cloud Credential!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for April 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 April Trivia Week 1 badge!
Hey there! You're invited to game on with Skills Boost Arcade Trivia for March 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 March Trivia Week 2 badge!
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.
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。
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!
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.
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.
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.
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.
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.
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。
This Course is utilized to certify completion of The Skills Challenge at Next 2025.
The course explores advanced services such as machine learning, and operational topics such as application deployment, monitoring, and troubleshooting. In addition, we’ll introduce GDC software upgrades, logging, billing, and cost monitoring.
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.
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。
This course helps you understand how to use Chronicle to properly handle security incidents.
This course helps developers customize Chronicle and augment its abilities with third party integrations.
This quiz tests your GDC Air-Gapped Practitioner Fundamentals knowledge.
The course examines service resources or workload components that exist in projects. You’ll learn about Kubernetes in GDC, Artifact Registry, GDC Object Storage, Database Service, Networking, and Key Management and Security.
This quiz tests your GDC Air-Gapped Security Operator Fundamental knowledge.
This course gives you a deep dive into the workflows of Tier 3 analysts.
This course gives you a deep dive into the workflows of Tier 1 and Tier 2 security analysts.
This course provides an introduction to the GDC platform—which enables you to host, control, and manage infrastructure and services directly on your premises. GDC air-gapped is one component of Google Distributed Cloud offering which aligns to Google’s digital sovereignty vision. It supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements.
Configure and Maintain CCaaS as an Admin is a course that provides end users with essential learning about the core features, functionality, reporting, and configuration information most relevant to the role. This course is most appropriate for those who perform administrative functions to support the operation of the contact center as well as analyze, troubleshoot, and configure the platform to best meet the demands of customers. Although this program will review some monitoring and reporting aspects, those topics are explored in depth in the course titled "Managing Functions and Reporting with CCaSS." Explore other content in the Gemini Enterprise Agent Ready (GEAR) program.
The first course provides a high-level overview of security fundamentals on the GDC platform.
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。
Manage Functions and Reporting with CCaaS provides end-users with essential training about the core features, functionality, monitoring, reporting, and configuration information that is most relevant to the role. This course is most appropriate for those at the managerial level of the contact center who are tasked with monitoring the effectiveness, efficiency, and KPI attainment for all consumer interactions. While this program will review some aspects of settings and configuration options, the major focus is on reporting functionality in CCaaS.
This course teaches contact center agents about the core agent features and functionality in Contact Center as a Service (CCaaS). CCaaS is a unified contact center platform that accelerates an organization's ability to leverage and deploy contact centers without relying on multiple technology providers. This course is most appropriate for those who handle consumer interactions via chat and call.
This course is for deployment personnel of Google Cloud and its partner organizations who are tasked with managing cultural change and skill gaps of customers adopting Google Workspace, engaging sponsors and enlisting the support of customer stakeholders, communicating the anticipated changes to the customer and their users. It will guide you through the Workspace change management methodology and all phases of the customer journey.
本課程可助您培養在 Google Workspace 環境管理資料的技能。首先,您會瞭解如何在 Gmail 和雲端硬碟,運用資料遺失防護規則防止資料外洩。接著,您將學習使用 Google 保管箱保留、保存及檢索資料。再來,我們會說明如何設定資料地區和匯出方式,以遵守法規要求。最後,您會學習運用標籤區分資料,更安全有條理地管理資料。
本課程說明如何保護 Google Workspace 環境。學員將導入高強度密碼政策和兩步驟驗證,控管使用者存取權,然後使用安全調查工具,主動找出並應對安全風險。接著,學員將管理第三方應用程式存取權和行動裝置,確保安全無虞。最後,學員將強制執行電子郵件安全性和法規遵循措施,保護機構資料。
本課程旨在讓學員全面瞭解 Google Workspace 核心服務。學員將瞭解如何啟用、停用及設定這些服務,包括 Gmail、日曆、雲端硬碟、Meet、Chat 和文件。接著,他們將學習如何部署及管理 Gemini,為使用者提供強大助力。最後,學員將瞭解 AppSheet 和 Apps Script 的應用實例,學習如何自動處理工作,並擴充 Google Workspace 應用程式的功能。
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。
Learn how to use Gemini Notebook to create a personalized study guide for the Associate Cloud 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.
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。
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。
Planning for a Google Workspace Deployment is the final course in the Google Workspace Administration series. In this course, you will be introduced to Google's deployment methodology and best practices. You will follow Katelyn and Marcus as they plan for a Google Workspace deployment at Cymbal. They'll focus on the core technical project areas of provisioning, mail flow, data migration, and coexistence, and will consider the best deployment strategy for each area. You will also be introduced to the importance of Change Management in a Google Workspace deployment, ensuring that users make a smooth transition to Google Workspace and gain the benefits of work transformation through communications, support, and training. This course covers theoretical topics, and does not have any hands on exercises. If you haven’t already done so, please cancel your Google Workspace trial now to avoid any unwanted charges.
本課程介紹 Google Workspace 的使用者和資源管理功能,學員將瞭解如何根據組織需求來設定組織單位、管理各類型的 Google 群組、培養有關管理 Google Workspace 網域設定的專業知識,最後學會如何最佳化及整理 Google Workspace 環境內的資源。
本課程將帶您認識 Google Vids,這是一款線上影片製作與編輯應用程式,僅提供部分 Google Workspace 使用者使用。完成本課程的教學與示範後,您將瞭解如何在工作場合製作出動人的影片。此外,本課程也將說明如何在影片中融入媒體、音訊與影像片段、自訂樣式,以及輕鬆分享作品。 部分 Vids 功能採用生成式 AI 技術,可協助您更有效率地完成工作。提醒您,Gemini 等生成式 AI 工具提供的資訊可能不正確或不適當。請勿將 Gemini 功能提供的資訊視為醫療、法律、財務或其他專業建議。也請留意,Gemini 功能提供的建議並不代表 Google 觀點,Google 對此概不負責。
本課程將說明如何使用 Google 雲端硬碟內建 Gemini,管理及擷取檔案。瞭解如何使用自然語言尋找素材資源、透過 AI 摘要功能擷取特定事實 (不必開啟檔案)、即時總結多種媒體格式的內容,以及將檔案集合儲存為「專案」,以便重複研究。
本課程將介紹如何使用 Google Meet 內建 Gemini,提升視訊協作體驗。內容包括如何自動做筆記、使用即時文字和語音翻譯、私下補上錯過的討論內容,以及立即提升音訊和視訊品質。
本課程將說明如何使用 Google 試算表內建 Gemini,自動整理資料及處理複雜數字。瞭解如何從原始文字建立表格、使用自然語言自動填入資料、依需求生成原生試算表公式,以及快速擷取高階洞察資訊或製作圖表,完全不需要具備進階試算表專業知識。
本課程將介紹如何使用 Google 簡報內建 Gemini,將概念轉化為吸睛的簡報。瞭解如何透過單一提示詞或現有來源文件生成結構化簡報、使用自動設計強化功能調整投影片版面配置、建立自訂向量圖形和相片,以及動態製作投影片文案和精確的演講者備忘稿。
本課程將說明如何使用 Google 文件內建 Gemini 簡化寫作和內容創作流程。瞭解如何從頭撰寫文件、使用互動式工具調整寫作語氣和提升清晰度、總結複雜檔案,以及將長篇文字順暢轉換為結構化資產,供其他 Google Workspace 應用程式使用。
本課程將說明如何使用 Gmail 內建 Gemini,提升電子郵件管理效率。瞭解如何直接在收件匣中總結冗長的討論串、使用自然語言擷取資訊、草擬專業回覆,以及制定溝通策略。
客戶能透過 Gemini for Google Workspace 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。
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Architect 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.
Take these next steps to learn more about the Google Security Operations Platform. Build on fundamental knowledge to go deeper on customization and tuning.
Identify critical assets and their compliance requirements.
This training course introduces Cloud NGFW. Topics include how Cloud NGFW provides centralized firewall management, centralized firewall visibility, advanced threat protection, and firewall insights.
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。
Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device. In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive. Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content. Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned. You’ll also explore ways to ensure consistency and save time…
本課程針對評估生成式和預測式 AI 模型,向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域,確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。 學員將深入瞭解多種評估指標與方法,以及適用於不同模型類型和工作的應用方式。此外,也會特別介紹生成式 AI 模型帶來的獨特難題,並提供有效的應對策略。透過 Google Cloud Vertex AI 平台,學員將瞭解在模型挑選、最佳化和持續監控方面,該如何導入穩健的評估程序。
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Network Engineer certification exam. You'll review Gemini Notebook features, add sources to your notebook, and learn how to personalize your Gemini Notebook experience to study for the exam.
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.
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.
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。
Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.
本課程旨在提供必要的知識和工具,協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰,並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序,打造成效非凡的生成式 AI 專案。
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。
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。
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。
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。
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。
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。
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。
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
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。
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。
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。
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。