Developing Containerized Applications on Google Cloud
Earned Jan 19, 2026 EST
在 Vertex AI 設計提示
Earned Jan 19, 2026 EST
運用 Gemini Code Assist 簡化應用程式開發作業
Earned Dec 4, 2025 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned Dec 4, 2025 EST
Service Orchestration and Choreography on Google Cloud
Earned Dec 2, 2025 EST
Developing Applications with Google Cloud: Foundations
Earned Nov 27, 2025 EST
使用 Google Cloud Managed Service for Prometheus 監控環境
Earned Nov 20, 2025 EST
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Nov 20, 2025 EST
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Nov 19, 2025 EST
在 Google Cloud 環境導入 DevSecOps 做法
Earned Nov 19, 2025 EST
在 Google Cloud 實作 DevOps 工作流程
Earned Nov 19, 2025 EST
在 Google Cloud 設定應用程式開發環境
Earned Nov 14, 2025 EST
Getting Started with Terraform for Google Cloud
Earned Nov 14, 2025 EST
Observability in Google Cloud
Earned Nov 12, 2025 EST
Logging and Monitoring in Google Cloud
Earned Nov 11, 2025 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Nov 5, 2025 EST
Developing a Google SRE Culture
Earned Oct 17, 2025 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Oct 15, 2025 EDT
負責任的 AI 技術簡介
Earned Aug 19, 2024 EDT
大型語言模型簡介
Earned Aug 19, 2024 EDT
生成式 AI 簡介
Earned Aug 16, 2024 EDT
In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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完成 在 Vertex AI 設計提示 技能徽章入門課程，即可證明您具備下列技能： 在 Vertex AI 設計提示、分析圖片，以及運用多模態模型生成內容。瞭解如何建立有效的提示、引導生成式 AI 輸出內容， 以及將 Gemini 模型用於實際的行銷情境。
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本課程適合各程度的開發人員，主要介紹 Gemini Code Assist 的核心功能與特色。這項 Google Cloud AI 輔助協作工具是應用程式開發的好幫手，提供程式碼智慧建議、自動補全、即時偵錯和重構輔助等實用功能。您將瞭解 Gemini Code Assist 如何大幅提升工作效率和程式碼品質，並助您省下寶貴時間，專心處理較具效益且更有趣的工作。
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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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。
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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。
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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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 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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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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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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「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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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。
Developing Containerized Applications on Google Cloud
Earned Jan 19, 2026 EST
在 Vertex AI 設計提示
Earned Jan 19, 2026 EST
運用 Gemini Code Assist 簡化應用程式開發作業
Earned Dec 4, 2025 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned Dec 4, 2025 EST
Service Orchestration and Choreography on Google Cloud
Earned Dec 2, 2025 EST
Developing Applications with Google Cloud: Foundations
Earned Nov 27, 2025 EST
使用 Google Cloud Managed Service for Prometheus 監控環境
Earned Nov 20, 2025 EST
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Nov 20, 2025 EST
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Nov 19, 2025 EST
在 Google Cloud 環境導入 DevSecOps 做法
Earned Nov 19, 2025 EST
在 Google Cloud 實作 DevOps 工作流程
Earned Nov 19, 2025 EST
在 Google Cloud 設定應用程式開發環境
Earned Nov 14, 2025 EST
Getting Started with Terraform for Google Cloud
Earned Nov 14, 2025 EST
Observability in Google Cloud
Earned Nov 12, 2025 EST
Logging and Monitoring in Google Cloud
Earned Nov 11, 2025 EST
可靠的 Google Cloud 基礎架構：設計與程序
Earned Nov 5, 2025 EST
Developing a Google SRE Culture
Earned Oct 17, 2025 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Oct 15, 2025 EDT
負責任的 AI 技術簡介
Earned Aug 19, 2024 EDT
大型語言模型簡介
Earned Aug 19, 2024 EDT
生成式 AI 簡介
Earned Aug 16, 2024 EDT