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Marwen Mattoussi

Member since 2022

Diamond League

53230 points
Security Best Practices in Google Cloud: Containers Earned Oct 23, 2026 EDT
Security Best Practices in Google Cloud: Compute Earned Oct 23, 2026 EDT
Security Best Practices in Google Cloud: Models Earned Oct 23, 2026 EDT
Security Best Practices in Google Cloud: Applications Earned Oct 23, 2026 EDT
Security Best Practices in Google Cloud: Data Earned Oct 23, 2026 EDT
在 Cloud Storage 建立串流資料湖泊 Earned Oct 2, 2026 EDT
在 Google Cloud 實作 Cloud 安全防護措施:基礎知識 Earned Sep 18, 2026 EDT
Google Cloud 的 AI 和機器學習服務簡介 Earned Sep 1, 2026 EDT
Google Cloud 的可靠性與安全性 Earned Aug 21, 2026 EDT
運用 Google Cloud 翻新基礎架構和應用程式 Earned Aug 21, 2026 EDT
運用 Google Cloud 人工智慧推動創新 Earned Aug 19, 2026 EDT
運用 Google Cloud 探索資料轉換功能 Earned Aug 19, 2026 EDT
透過 Google Cloud 進行數位轉型 Earned Aug 19, 2026 EDT
Managing Change when Moving to Google Cloud Earned Aug 19, 2026 EDT
生成式 AI 應用程式:徹底改變工作方式 Earned Aug 19, 2026 EDT
生成式 AI:掌握幕後技術與環境 Earned Aug 19, 2026 EDT
生成式 AI 代理:實現組織轉型 Earned Aug 19, 2026 EDT
生成式 AI:瞭解基礎概念 Earned Aug 19, 2026 EDT
生成式 AI:不只是聊天機器人 Earned Aug 19, 2026 EDT
Mitigating Security Vulnerabilities on Google Cloud Earned Aug 10, 2026 EDT
AI 世界的安全防護簡介 Earned Jul 29, 2026 EDT
Cloud 運算中的安全性原則簡介 Earned Dec 10, 2025 EST
Cloud 安全風險管理策略 Earned Dec 10, 2025 EST
Cloud 安全風險:找出並防範威脅 Earned Dec 10, 2025 EST
運用 Google Cloud 偵測、因應網路攻擊並執行復原工作 Earned Dec 10, 2025 EST
全面整合:為成為 Cloud 資安分析師做好準備 Earned Dec 10, 2025 EST
Security Best Practices in Google Cloud Earned Nov 6, 2025 EST
Manage Security in Google Cloud Earned Sep 26, 2025 EDT
Networking in Google Cloud: Hybrid and Multicloud Earned Aug 27, 2025 EDT
Networking in Google Cloud: Load Balancing Earned Aug 27, 2025 EDT
Networking in Google Cloud: Network Security Earned Aug 27, 2025 EDT
Networking in Google Cloud: Network Architecture Earned Jul 30, 2025 EDT
Networking in Google Cloud: Routing and Addressing Earned Jul 30, 2025 EDT
Networking in Google Cloud: Fundamentals Earned Jul 30, 2025 EDT
Build a Certification Study Guide: PCSE Exam Prep Earned Jul 30, 2025 EDT
Put It All Together: Prepare for a Cloud Security Analyst Job Earned Jan 8, 2025 EST
Detect, Respond, and Recover from Cloud Cybersecurity Attacks Earned Jan 8, 2025 EST
Cloud Security Risks: Identify and Protect Against Threats Earned Dec 31, 2024 EST
Strategies for Cloud Security Risk Management Earned Dec 30, 2024 EST
Introduction to Security Principles in Cloud Computing Earned Dec 9, 2024 EST
建立 Google Cloud 網路 Earned Jul 3, 2024 EDT
Build a Certification Study Guide: PCA Exam Prep Earned Jun 25, 2024 EDT
重要的 Google Cloud 基礎架構:核心服務 Earned Jun 18, 2024 EDT
重要的 Google Cloud 基礎架構:基本概念 Earned Jun 14, 2024 EDT
Google Kubernetes Engine 成本效益最佳化 Earned Jun 10, 2024 EDT
在 Google Cloud 使用 Terraform 建構基礎架構 Earned Jun 10, 2024 EDT
在 Google Cloud 設定應用程式開發環境 Earned Jun 10, 2024 EDT
Google Cloud 基礎知識:核心基礎架構 Earned Jun 5, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned Jun 5, 2024 EDT

This course is designed to teach you how to architect, harden, and defend containerized environments. You'll learn how to combat security drift, which is the silent accumulation of misconfigurations, unpatched operating systems, and over-privileged credentials. The goal is to help you implement a zero-trust, secure-by-default posture across every phase of the container lifecycle.

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This course equips you with the strategies to harden virtual machines and protect critical workloads in Google Cloud. By moving beyond traditional perimeter defenses, you explore how to secure the entire compute lifecycle, from boot to runtime.

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In this course, you'll learn how to apply Google's Secure AI Framework (SAIF) to autonomous agents, model integrity, and data pipelines.

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This course equips participants to protect web apps from common vulnerabilities and securely manage app credentials. The curriculum mirrors the 6-Layer AI Stack and Google Cloud Minimum Viable Security Platform mandates to help you secure existing environments.

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This course equips you to implement a Data Security Posture Management framework by integrating data discovery, classification, access control, and encryption technologies. The curriculum mirrors the 6-Layer AI Stack and Google Cloud Minimum Viable Security Platform mandates to help you secure existing environments.

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完成「在 Cloud Storage 建立串流資料湖泊」任務,即可獲得技能徽章。 本課程中,您將綜合運用 Pub/Sub、Dataflow 和 Cloud Storage, 在 Google Cloud 建立串流資料湖泊。

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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。

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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能,著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具,並透過互動式練習,協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。

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組織將資料和應用程式遷移至雲端後,必須因應快速變化的安全性挑戰。本課程將探討雲端安全性的基礎知識、Google Cloud 融入安全考量設計的基礎架構價值,以及縱深防禦策略。此外,還會著重說明如何透過 AI 輔助作業和法規遵循工具,協助組織滿足嚴格的全球法規要求。 本課程是 Cloud Digital Leader 學習路徑的一部分,旨在促進個人職能發展,並打造企業的未來。

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許多傳統企業使用舊版系統和應用程式,無法滿足現今客戶的期望。企業主管經常需要在維護老舊的 IT 系統,以及投資新產品/服務之間做出選擇。本課程將探討這些挑戰,並提供解決方案,說明如何運用雲端技術克服難題。 本課程是 Cloud Digital Leader 學習路徑的一部分,旨在促進個人職能發展,並打造企業的未來。

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人工智慧 (AI) 和機器學習 (ML) 象徵著資訊技術的重大演進,正迅速改變各行各業。在「運用 Google Cloud 人工智慧推動創新」課程中,我們會探討組織如何運用 AI 和機器學習技術,翻轉業務流程。 本課程是 Cloud Digital Leader 學習路徑的一部分,旨在促進個人職能發展,並打造企業的未來。

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雲端技術是強大的資產,與資料搭配後,將成為創新和提升客戶體驗的催化劑。「運用 Google Cloud 探索資料轉換功能」課程將探討機構如何運用雲端,讓資料更易於存取、做為行動依據和更有價值。 這門課程是 Cloud Digital Leader 學習路徑的一部分,旨在協助個人在職務上成長,並打造企業的未來。

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數位轉型是現代組織必經的關鍵旅程,而建立穩固的雲端運算基礎,是跨出有意義創新的第一步。本課程「透過 Google Cloud 進行數位轉型」,將會介紹核心技術和策略框架,協助組織革新營運方式,並探討基本的雲端概念、全球網路基礎架構和共同責任模式,幫助主管在雲端之路上自信前行。本課程是 Cloud Digital Leader 學習路徑的一部分,旨在促進個人職能發展,並打造企業的未來。

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Moving to the cloud creates numerous opportunities to start working in a new way and it empowers the workforce to better collaborate and innovate. But it’s also a big change. Sometimes the success of the change hinges not on the change itself, but on how it’s managed. This course will help people managers to understand some of the key challenges associated with cloud adoption, and provide them with a verified in-the-field framework that will assist them in supporting their teams on the change journey. By addressing the human factor of moving to the cloud, organizations increase their chances of realizing business objectives and investing in their future talent.

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「生成式 AI 應用程式:徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。

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「生成式 AI:掌握幕後技術與環境」是 Gen AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及與周遭世界的互動模式。身為領導者,您要如何駕馭其強大的功能,創造實際的業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品與服務,以及選擇解決方案時應考量的因素。

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「生成式 AI 代理:實現組織轉型」是 Gen AI Leader 學習路徑的第五堂也是最後一堂課程。本課程將探討組織如何運用自訂生成式 AI 代理,解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理,同時探索這類代理的各種元件,例如模型、推論迴圈和工具。

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生成式 AI:瞭解基礎概念是 Gen AI Leader 學習路徑的第二門課程。在本課程中,您將瞭解 AI、機器學習和生成式 AI 的差異,以及各種類型的資料如何協助生成式 AI 解決業務難題,進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 因應基礎模型限制的策略,以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。

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「生成式 AI:不只是聊天機器人」是 Gen AI Leader 學習路徑的第一門課程,沒有先修條件。本課程旨在帶領您超越對聊天機器人的基本認識,探索生成式 AI 能為貴組織帶來的真正潛力。您將瞭解基礎模型和提示工程等概念,這些都是發揮生成式 AI 威力的關鍵。本課程也會引導您思考重要事項,協助您為貴組織制定成功的生成式 AI 策略。

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In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use. They also learn about the Security Command Center, cloud logging and audit logging, and using Forseti to view overall compliance with your organization's security policies.

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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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這是 Google Cloud 網路安全專業證書五堂課程中的第一堂。本課程將介紹網路安全的必要基礎,包括安全防護生命週期、數位轉型和雲端運算的重要概念。您將瞭解初級雲端資安分析師用來自動執行工作的常見工具。

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這是 Google Cloud 網路安全專業證書五堂課程中的第二堂。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 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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This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Storage access control technologies, Security Keys, Customer-Supplied Encryption Keys, API access controls, scoping, shielded VMs, encryption, and signed URLs. It also covers securing Kubernetes environments.

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This course provides foundational knowledge for securing your Google Cloud environment. You will learn Google Cloud's security model, including Zero Trust principles and the Shared Fate model. You will configure identity services like Cloud Identity and Workforce Identity Federation, manage access control using Identity and Access Management (IAM) roles, conditions, and policies, and implement network security controls such as VPCs, Cloud Firewall tiers, and VPC Service Controls to build a secure perimeter. As the foundation of the Security in Google Cloud learning path, this course establishes the core principles required for two subsequent specialized tracks: the five-course Security Best Practices in Google Cloud series and the four-course Mitigate Threats in Google Cloud series.

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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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This training course builds on the concepts covered in the Networking in Google Cloud: Fundamentals course. Through presentations, demonstrations, and labs, participants explore and implement Cloud Load Balancing.

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Welcome to the fourth course of the "Networking in Google Cloud" series: Network Security! In this course, you'll dive into the services for safeguarding your Google Cloud network infrastructure. The first module, Distributed Denial of Service (DDoS) Protection, covers how to fortify your network against Distributed Denial of Service (DDoS) attacks, ensuring uninterrupted availability of your services. In the second module, Controlling Access to VPC Networks, you'll learn the network access control, enabling you to define permissions for who can access your resources and how. Finally, in the third module, Advanced Security Monitoring and Analysis, we'll explore how to proactively detect and respond to potential threats, keeping your Google Cloud environment secure and resilient. By the end of this course, you'll have a comprehensive understanding of Google Cloud network security.

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Welcome to the third course of the "Networking in Google Cloud" series: Network Architecture! In this course, you will explore the fundamentals of designing efficient and scalable network architectures within Google Cloud. In the first module, Introduction to Network Architecture, we'll start by introducing you to the core components and concepts of network architecture, including subnets, routes, firewalls, and load balancing. Then in the second module, network topologies, we'll dive into various network topologies commonly used in Google Cloud, discussing their strengths, and weaknesses.

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Welcome to the second course in the networking and Google Cloud series routing and addressing. In this course, we'll cover the central routing and addressing concepts that are relevant to Google Cloud's networking capabilities. Module one will lay the foundation by exploring network routing and addressing in Google Cloud, covering key building blocks such as routing IPv4, bringing your own IP addresses and setting up cloud DNS. In Module two will shift our focus to private connection options, exploring use cases and methods for accessing Google and other services privately using internal IP addresses. By the end of this course, you'll have a solid grasp of how to effectively route and address your network traffic within Google Cloud.

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Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals.  This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques. 

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Cloud Security Engineer certification exam. You'll review Gemini Notebook features, create a notebook, and learn how to use a study guide to practice for the certification exam.

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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 fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You'll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you'll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you'll continue updating your resume and practicing interview techniques.

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This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You'll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you'll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.

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This is the 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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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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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。

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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.

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這堂隨選密集課程會向參加人員說明 Google Cloud 提供的全方位彈性基礎架構和平台服務,並將重點放在 Compute Engine。這堂課程結合了視訊講座、示範和實作研究室,可讓參加人員探索及部署解決方案元素,例如網路、系統和應用程式服務等基礎架構元件。另外,這堂課也會介紹如何部署實用的解決方案,包括客戶提供的加密金鑰、安全性和存取權管理機制、配額與帳單,以及資源監控功能。

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這堂隨選密集課程會向參加人員說明 Google Cloud 提供的全方位彈性基礎架構和平台服務,尤其側重於 Compute Engine。這堂課程結合了視訊講座、示範和實作研究室,可讓參加人員探索及部署解決方案元素,例如網路、虛擬機器和應用程式服務等基礎架構元件。您會瞭解如何透過控制台和 Cloud Shell 使用 Google Cloud。另外,您也能瞭解雲端架構師的職責、基礎架構設計方法,以及具備虛擬私有雲 (VPC)、專案、網路、子網路、IP 位址、路徑和防火牆規則的虛擬網路設定。

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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。

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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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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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「Google Cloud 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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完成「在 Compute Engine 導入 Cloud Load Balancing」技能徽章入門課程,即可證明您具備下列技能: 在 Compute Engine 建立及部署虛擬機器, 以及設定網路和應用程式負載平衡器。

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