Getting Started with Terraform for Google Cloud
Earned Jan 10, 2023 EST
Logging and Monitoring in Google Cloud
Earned Jan 10, 2023 EST
開始使用 Google Kubernetes Engine
Earned Jan 8, 2023 EST
彈性的 Google Cloud 基礎架構：資源調度與自動化
Earned Jan 6, 2023 EST
重要的 Google Cloud 基礎架構：核心服務
Earned Jan 4, 2023 EST
Google Workspace for Education
Earned Jan 2, 2023 EST
重要的 Google Cloud 基礎架構：基本概念
Earned Jan 2, 2023 EST
Google Cloud 基礎知識：核心基礎架構
Earned Dec 27, 2022 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Dec 27, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Dec 26, 2022 EST
在 Google Cloud 設定應用程式開發環境
Earned Dec 26, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Dec 25, 2022 EST
開始使用 Google Workspace 工具
Earned Dec 24, 2022 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned Dec 23, 2022 EST
In this course, you will learn the basic skills to implement secure and efficient DevSecOps practices on Google Cloud. You'll learn how to secure your development pipeline with Google Cloud services like Artifact Registry, Cloud Build, Cloud Deploy, and Binary Authorization. This enables you to build, test, and deploy containerized applications with security controls throughout the CI/CD pipeline.
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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。
Cloud Assist Investigations is an AI-enabled tool for iterative troubleshooting in Google Cloud environments, and aims to help users troubleshoot common issues to find the root cause of problems that may occur when using Google Cloud services.
This course equips DevOps, SRE, and platform engineers with the skills to effectively use Cloud Assist Investigations for streamlined troubleshooting of Google Cloud services. The training focuses on foundational knowledge of Cloud Assist Investigations, with the intent to reduce troubleshooting time and enhance overall operational efficiency for users of Google Cloud.
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Welcome to Observability in Google Cloud, the second part of a two-part course series. It is suggested that you complete part 1, Logging and Monitoring in Google Cloud, prior to taking this course.
This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.
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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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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.
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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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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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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歡迎參加「開始使用 Google Kubernetes Engine」課程。Kubernetes 是位於應用程式和硬體基礎架構之間的軟體層。如果您對這項技術感興趣，這堂課程可以滿足您的需求。有了 Google Kubernetes Engine，您就能在 Google Cloud 中以代管服務的形式使用 Kubernetes。
本課程的目標在於介紹 Google Kubernetes Engine (常簡稱為 GKE) 的基本概念，以及如何將應用程式容器化，以便在 Google Cloud 中執行。課程首先會初步介紹 Google Cloud，隨後簡介容器、Kubernetes、Kubernetes 架構和 Kubernetes 作業。
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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。這堂課結合了視訊講座、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，包括安全地建立互連網路、負載平衡、自動調度資源、基礎架構自動化，以及代管服務。
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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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Earn a skill badge by completing the Google Workspace for Education quest, where you learn about a set of familiar Google apps and services tailored for schools and homeschools to collaborate, streamline instruction, and keep online learning safe. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge quest, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
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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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「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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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.
完成「開始使用 Google Workspace 工具」課程，即可獲得入門級技能徽章。本課程將介紹 Google 的協作平台， 帶您瞭解如何使用 Gmail、日曆、Meet、雲端硬碟、試算表和 AppSheet。
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
Using DevSecOps in your Google Cloud Environment
Earned Jan 3, 2026 EST
使用 Google Cloud Managed Service for Prometheus 監控環境
Earned Jan 2, 2026 EST
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Jan 2, 2026 EST
在 Google Cloud 實作 DevOps 工作流程
Earned Jan 1, 2026 EST
Troubleshooting with AI Using Cloud Assist Investigations
Earned Dec 10, 2025 EST
Observability in Google Cloud
Earned Dec 8, 2025 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Dec 2, 2025 EST
Developing a Google SRE Culture
Earned Apr 15, 2023 EDT
建立 Google Cloud 網路
Earned Apr 10, 2023 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Apr 9, 2023 EDT
Getting Started with Terraform for Google Cloud
Earned Jan 10, 2023 EST
Logging and Monitoring in Google Cloud
Earned Jan 10, 2023 EST
開始使用 Google Kubernetes Engine
Earned Jan 8, 2023 EST
彈性的 Google Cloud 基礎架構：資源調度與自動化
Earned Jan 6, 2023 EST
重要的 Google Cloud 基礎架構：核心服務
Earned Jan 4, 2023 EST
Google Workspace for Education
Earned Jan 2, 2023 EST
重要的 Google Cloud 基礎架構：基本概念
Earned Jan 2, 2023 EST
Google Cloud 基礎知識：核心基礎架構
Earned Dec 27, 2022 EST
Preparing for Your Associate Cloud Engineer Journey
Earned Dec 27, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Dec 26, 2022 EST
在 Google Cloud 設定應用程式開發環境
Earned Dec 26, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Dec 25, 2022 EST
開始使用 Google Workspace 工具
Earned Dec 24, 2022 EST
DEPRECATED BigQuery Basics for Data Analysts
Earned Dec 23, 2022 EST