Preparing for Your Professional Cloud Network Engineer Journey
Earned Jul 4, 2022 EDT
DevOps Essentials
Earned Jun 18, 2022 EDT
Google Cloud 必備知識
Earned May 30, 2022 EDT
DevOps: A beautiful relationship
Earned Feb 14, 2022 EST
Digital Transformation with Google Cloud
Earned Nov 15, 2021 EST
您已經成功打造第一個代理，是時候迎接更進階的挑戰。在本課程中，您將學習如何應用進階指令、選擇模型、建立規劃能力及結構化輸出模式，藉此將基本 AI 代理轉為高明又精確的助理，讓您的技能更上一層樓。加入社群論壇，提出問題並參與討論
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使用 Agent Development Kit (ADK) 建構、設定及執行您的第一個 AI 代理，將自身代理知識化為實際成果。
在這堂實作課程，您會設立完整的 ADK 開發環境，並使用 Python 程式碼和 YAML 設定打造代理，然後透過多個介面執行。您也會瞭解定義代理行為的核心參數，將課程 1 的學習成果轉化為實際運作的程式碼。
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AI 代理是超越傳統大型語言模型 (LLM) 的重大轉變，這類服務不僅可以生成以文字為基礎的解決方案，還能自主加以執行。本課程介紹 AI 代理的基礎知識、與 LLM API 的差異，以及在實際應用上帶來的價值。本課程內容奠基於 Google 的代理白皮書，介紹實際編寫代理程式碼之前所需的理論基礎，非常適合有意透過目標導向自主行為 (不僅限於文字生成) 來理解 AI 系統的開發人員、架構師和技術決策者。加入社群論壇，提出問題並參與討論。
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Welcome to the sixth course in our Networking and Google Cloud series, Hybrid and Multicloud. The first module will walk you through various cloud connectivity options, with a deep dive into Cloud Interconnect, exploring its different types and functionalities. In the second module, we'll cover Cloud VPN, discussing its implementation, high availability, VPN topologies, and the Network Connectivity Center for streamline management. By the end of this course, you will be able to explain the different connectivity options available to extend your on-premises and other cloud networks to Google Cloud, and analyze the suitability of different Google Cloud hybrid and multicloud connectivity services for specific use cases.
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Welcome to the "AI Infrastructure: Networking Techniques" course. In this course, you'll learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you'll grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.
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In this course, you’ll take a comprehensive journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads. You’ll learn how to choose the right storage for each stage of the ML lifecycle. You’ll explore how to optimize for I/O performance during training, manage massive datasets for data preparation, and serve model artifacts with low latency. Through practical examples and demonstrations, you’ll gain the expertise to design robust storage solutions that accelerate your AI innovation.
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This course provides a comprehensive guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud. Through a series of lessons and practical demonstrations, you’ll explore diverse deployment strategies, ranging from highly customizable environments using Google Compute Engine (GCE) to managed solutions like Google Kubernetes Engine (GKE). Specifically, you’ll learn how to create clusters and deploy GKE for inference.
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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。
想瞭解 AI 背後的強大硬體嗎？本單元將深入解析針對效能最佳化的 AI 電腦，說明其重要性。我們將探討 CPU、GPU 和 TPU 如何大幅加速 AI 任務運算，分析各自的特點，以及 AI 軟體如何充分利用這些硬體效能。單元結束後，您將清楚掌握如何根據 AI 專案挑選合適的 GPU，並做出明智的 AI 工作負載決策。
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準備開始使用 AI Hypercomputer 了嗎？這門課程可讓您快速上手！我們將介紹這個架構的基本概念，以及此架構如何幫助 AI 處理 AI 工作負載。您將瞭解 Hypercomputer 內的不同元件，例如 GPU、TPU 和 CPU，以及如何視需求選擇合適的部署方法。
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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.
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「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。
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This course gives you a deep dive into the workflows of Tier 3 analysts.
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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.
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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.
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「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。
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「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。
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人工智慧 (AI) 帶來轉型可能，但全新資安挑戰也隨著出現。本課程介紹資料安全和保護的策略，可幫助相關領域的領導者，在企業內部安全地管理 AI。您可以瞭解如何建立框架，主動辨別和減輕 AI 特有的風險、保護機密資料、確實法規遵循，並打造堅韌的 AI 基礎架構。我們提供四個不同產業的案例，帶您探索如何實際應用這些策略。
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This Course is utilized to certify completion of The Skills Challenge at Next 2025.
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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
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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.
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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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In this course you will learn the key architectural considerations that need to be taken into account when designing for the implementation of Conversational AI solutions.
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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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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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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 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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This course helps developers customize Chronicle and augment its abilities with third party integrations.
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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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This course was designed to provide an understanding of user and resource management in Google Workspace. Learners will explore the configuration of organizational units to align with their organization's needs. Additionally, learners will discover how to manage various types of Google Groups. They will also develop expertise in managing domain settings within Google Workspace. Finally, learners will master the optimization and structuring of resources within their Google Workspace environment.
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This course helps learners prepare to study for the Professional Google Workspace Administrator Certification exam. Learners will be exposed to and engage with exam topics through a series of readings, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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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 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 course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
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This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 使用 Google 產品和服務，開發、測試、部署及管理應用程式。有了 Gemini 的協助，您會學到如何開發和建構網頁應用程式、修正應用程式中的錯誤、開發測試及查詢資料。在實作研究室中，您也會體驗到 Gemini 如何改良軟體開發生命週期 (SDLC)。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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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.
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助網路工程師建立、更新及維護虛擬私有雲網路。您將瞭解如何透過提示讓 Gemini 為網路工作提供指引，獲得比搜尋結果更具體的資訊。在實作研究室中，您也會體驗到 Gemini 如何簡化 Google Cloud 虛擬私有雲網路的作業。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 保護雲端環境和資源。您將學到如何將工作負載範例部署到 Google Cloud 中的環境，以及運用 Gemini 找出並修復安全性設定錯誤。在實作研究室中，您也會體驗到 Gemini 如何改良雲端安全防護機制。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助開發人員透過 Google Cloud 建構應用程式。您將瞭解如何透過提示讓 Gemini 為您解釋程式碼內容、推薦 Google Cloud 服務，以及生成應用程式的程式碼。在實作研究室中，您也會體驗到 Gemini 如何改良應用程式的開發工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助管理員在 Google Cloud 佈建基礎架構。您將瞭解如何透過提示讓 Gemini 解釋基礎架構、部署 GKE 叢集，以及更新既有的基礎架構。在實作研究室中，您也會體驗到 Gemini 如何改良 GKE 的部署工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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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 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 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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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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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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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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It’s no secret today that data is growing rapidly and considered the most critical asset of any organization. NetApp and Google Cloud play an instrumental role in enabling you to optimally store, protect and govern your data. With NetApp Cloud Manager and NetApp Cloud Volumes ONTAP data storage technology that utilizes Google Cloud compute, storage and networking infrastructure, you can easily manage storage operations and meet the requirements of any workload. In this course, you get hands-on practice on using NetApp Cloud Manager and Cloud Volumes ONTAP and learn about the capabilities delivered such as multi-protocol data access, built-in storage efficiencies and data protection features, remote caching and more.
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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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Ready to start building your world - er - cloud infrastructure? With Terraform, you can manage infrastructure as code, saving time and ensuring consistency. In today’s game, you’ll use Terraform to build, change, provision, and destroy infrastructure in increasingly complex scenarios, and add a few new skills to your toolkit. Terraform init!
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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Course four of the Anthos series prepares students to consider multiple approaches for modernizing applications and services within Anthos environments. Topics include optimizing workloads on serverless platforms and migrating workloads to Anthos. This course is a continuation of course three, Anthos on Bare Metal, and assumes direct experience with the topics covered in that course.
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This course helps learners prepare for the Professional Cloud Security Engineer (PCSE) Certification exam. Learners will be exposed to and engage with exam topics through a series of lectures, diagnostic questions, and knowledge checks. After completing this course, learners will have a personalized workbook that will guide them through the rest of their certification readiness journey.
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This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure.
Learners will get hands-on practice building and managing Google Cloud resources using Terraform.
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Course two of the Architecting Hybrid Cloud with Anthos series prepares students to operate and observe Anthos environments. Through presentations and hands-on labs, participants explore adjusting existing clusters, setting up advanced traffic routing policies, securing communication across workloads, and observing clusters in Anthos. This course is a continuation of course one, Multi-Cluster, Multi-Cloud with Anthos, and assumes direct experience with the topics covered in that course.
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Welcome to the two-part course on Logging, Monitoring, and Observability in Google Cloud. The core operations tools in Google Cloud break down into two major categories. The operations-focused components and the application performance management tools. This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring. After taking this course, it is suggested that you complete part 2, Observability in Google Cloud, to learn about the available application performance management tools.
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這堂課程可讓參加人員瞭解如何使用確實有效的設計模式，在 Google Cloud 中打造相當可靠且效率卓越的解決方案。這堂課程接續了「設定 Google Compute Engine 架構」或「設定 Google Kubernetes Engine 架構」課程的內容，並假設參加人員曾實際運用上述任一課程涵蓋的技術。這堂課程結合了簡報、設計活動和實作研究室，可讓參加人員瞭解如何定義業務和技術需求，並在兩者之間取得平衡，設計出相當可靠、可用性高、安全又符合成本效益的 Google Cloud 部署項目。
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This course helps you structure your preparation for the Associate Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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如果您是剛起步的雲端開發人員， 想在 Google Cloud Essentials 外獲得更多實作經驗，歡迎參加本課程。您將透過實作實驗室， 深入瞭解 Cloud Storage 和其他重要應用程式服務，例如： Monitoring 和 Cloud Functions。您將習得 在任何 Google Cloud 專案都適用的寶貴技能。
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大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題，但這些領域相當專業，就算想要入門 也難以取得教材或資料。幸好，Google Cloud 提供了此領域的多種服務，而且容易使用。 參加這堂入門課程，您就能踏出第一步， 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
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「Google Cloud 基礎知識：核心基礎架構」介紹了在使用 Google Cloud 時會遇到的重要概念和術語。本課程會透過影片和實作實驗室，介紹並比較 Google Cloud 的多種運算和儲存服務，同時提供重要的資源和政策管理工具。
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Google Cloud Fundamentals for AWS Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
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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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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.
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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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
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Kubernetes 是最受歡迎的容器自動化調度管理系統，Google Kubernetes Engine 則專門支援 Google Cloud 中的 代管 Kubernetes 部署項目。這門進階課程將帶您實際練習設定 Docker 映像檔和容器，並部署完整的 Kubernetes Engine 應用程式。 您會學到如何將容器自動化調度管理機制， 整合到自己的工作流程，這些技巧相當實用。 想透過實作挑戰實驗室展現 技能、驗收學習成果嗎？本課程結束後，再完成 在 Google Cloud 部署 Kubernetes 應用程式課程 結尾的挑戰實驗室，即可獲得專屬 Google Cloud 數位徽章。
This course helps you structure your preparation for the Professional Cloud Engineer exam. You will learn about the Google Cloud domains covered by the exam and how to create a study plan to improve your domain knowledge.
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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!
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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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The goal of DevOps is to combine software development and IT operations into a holistic set of strategies and practices. Want to learn more about how the relationship works? Join a team and challenge yourself to complete each task as quickly and accurately as possible to score points and earn badges.
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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.
AI 代理行為最佳化調整
Earned Jan 14, 2026 EST
使用 Agent Development Kit (ADK) 打造您的第一個 AI 代理
Earned Jan 14, 2026 EST
AI 代理基礎知識
Earned Jan 14, 2026 EST
Networking in Google Cloud: Hybrid and Multicloud
Earned Jan 8, 2026 EST
AI Infrastructure: Networking Techniques
Earned Jan 6, 2026 EST
AI Infrastructure: Storage Options
Earned Jan 6, 2026 EST
AI Infrastructure: Deployment Types
Earned Jan 6, 2026 EST
Cloud 安全風險管理策略
Earned Dec 16, 2025 EST
Cloud 運算中的安全性原則簡介
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 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 29, 2025 EDT
AI 基礎架構：Cloud TPU
Earned Aug 11, 2025 EDT
AI 基礎架構：Cloud GPU
Earned Aug 11, 2025 EDT
AI 基礎架構：AI Hypercomputer 簡介
Earned Aug 11, 2025 EDT
Compute, Network, and Storage Services Configuration in GDC
Earned Aug 8, 2025 EDT
生成式 AI：掌握幕後技術與環境
Earned Aug 7, 2025 EDT
SecOps on GDC for Tier 3 Analysts
Earned Aug 7, 2025 EDT
AI Services and GDC Deployments and Operations
Earned Aug 6, 2025 EDT
GDC Platform Introduction
Earned Aug 5, 2025 EDT
生成式 AI：不只是聊天機器人
Earned Aug 4, 2025 EDT
生成式 AI：瞭解基礎概念
Earned Aug 4, 2025 EDT
AI 世界的安全防護簡介
Earned Jul 24, 2025 EDT
[DEPRECATED] The Skills Challenge at Next 2025
Earned Mar 16, 2025 EDT
Build a Certification Study Guide: PMLE
Earned Dec 12, 2024 EST
Machine Learning Operations (MLOps): Getting Started
Earned Sep 24, 2024 EDT
Google Calendar
Earned Sep 9, 2024 EDT
Gmail
Earned Sep 9, 2024 EDT
Customer Experience with Google AI Architecture
Earned Aug 30, 2024 EDT
Gemini in Google Drive
Earned Aug 26, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned Aug 22, 2024 EDT
Gemini in Google Meet
Earned Aug 22, 2024 EDT
Gemini in Google Sheets
Earned Aug 22, 2024 EDT
Gemini in Google Slides
Earned Aug 22, 2024 EDT
Gemini in Google Docs
Earned Aug 22, 2024 EDT
Gemini in Gmail
Earned Aug 22, 2024 EDT
Gemini for Google Workspace 簡介
Earned Aug 22, 2024 EDT
Google Security Operations - SOAR Developer
Earned Aug 19, 2024 EDT
Serverless Data Processing with Dataflow: Operations
Earned Aug 5, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Aug 5, 2024 EDT
Google Workspace User and Resource Management
Earned Jul 22, 2024 EDT
Preparing for Your Google Workspace Administrator Journey
Earned Jul 22, 2024 EDT
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
Earned Jul 1, 2024 EDT
Put It All Together: Prepare for a Cloud Data Analyst Job
Earned Jun 26, 2024 EDT
Preparing for your Professional Data Engineer Journey
Earned Jun 20, 2024 EDT
Preparing for your Professional Cloud Architect Journey
Earned Jun 19, 2024 EDT
建立圖像說明生成模型
Earned Jun 18, 2024 EDT
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jun 18, 2024 EDT
Transformer 和 BERT 模型
Earned Jun 18, 2024 EDT
編碼器-解碼器架構
Earned Jun 18, 2024 EDT
注意力機制
Earned Jun 18, 2024 EDT
使用 Gemini：端對端 SDLC
Earned Jun 18, 2024 EDT
Cloud Security Risks: Identify and Protect Against Threats
Earned Jun 7, 2024 EDT
Trust and Security with Google Cloud
Earned May 19, 2024 EDT
Innovating with Google Cloud Artificial Intelligence
Earned May 19, 2024 EDT
使用 Gemini：網路工程師
Earned May 19, 2024 EDT
圖像生成簡介
Earned May 18, 2024 EDT
使用 Gemini：資安工程師
Earned May 18, 2024 EDT
使用 Gemini：應用程式開發人員
Earned May 18, 2024 EDT
使用 Gemini：雲端架構師
Earned May 18, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
Earned May 3, 2024 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job
Earned May 2, 2024 EDT
Introduction to Security Principles in Cloud Computing
Earned Apr 23, 2024 EDT
Strategies for Cloud Security Risk Management
Earned Apr 23, 2024 EDT
Generative AI Fundamentals - 繁體中文
Earned Nov 21, 2023 EST
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Oct 20, 2023 EDT
負責任的 AI 技術簡介
Earned Oct 20, 2023 EDT
大型語言模型簡介
Earned Aug 6, 2023 EDT
生成式 AI 簡介
Earned May 25, 2023 EDT
NetApp: Build, Protect and Govern your Data Infrastructure On Google Cloud
Earned Mar 30, 2023 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Mar 29, 2023 EDT
Terraform Init: An infrastructure challenge
Earned Mar 29, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Feb 24, 2023 EST
建構安全的 Google Cloud 網路
Earned Feb 24, 2023 EST
Hybrid Cloud Modernizing Applications with Anthos
Earned Feb 21, 2023 EST
Preparing for Your Professional Cloud Security Engineer Journey
Earned Feb 9, 2023 EST
Getting Started with Terraform for Google Cloud
Earned Feb 7, 2023 EST
DEPRECATED Cloud Operations and Service Mesh with Anthos
Earned Feb 7, 2023 EST
Logging and Monitoring in Google Cloud
Earned Feb 6, 2023 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Jan 31, 2023 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Jan 31, 2023 EST
Developing a Google SRE Culture
Earned Jan 4, 2023 EST
基本概念：基礎架構
Earned Dec 21, 2022 EST
基本概念：資料、機器學習和 AI
Earned Dec 21, 2022 EST
Google Cloud 基礎知識：核心基礎架構
Earned Sep 2, 2022 EDT
Google Cloud Fundamentals for AWS Professionals
Earned Sep 2, 2022 EDT
Scaling with Google Cloud Operations
Earned Aug 9, 2022 EDT
Exploring Data Transformation with Google Cloud
Earned Aug 9, 2022 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned Aug 1, 2022 EDT
Modernize Infrastructure and Applications with Google Cloud
Earned Jul 27, 2022 EDT
DEPRECATED Cloud Architecture
Earned Jul 27, 2022 EDT
Google Cloud 中的 Kubernetes
Earned Jul 26, 2022 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jul 13, 2022 EDT
透過 BigQuery 建構資料倉儲
Earned Jul 4, 2022 EDT
Preparing for Your Professional Cloud Network Engineer Journey
Earned Jul 4, 2022 EDT
DevOps Essentials
Earned Jun 18, 2022 EDT
Google Cloud 必備知識
Earned May 30, 2022 EDT
DevOps: A beautiful relationship
Earned Feb 14, 2022 EST
Digital Transformation with Google Cloud
Earned Nov 15, 2021 EST