Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 30, 2021 EDT
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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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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這堂課程會介紹基本技巧，以便您在 Google Cloud 採用安全又有效率的 DevSecOps 做法。您會瞭解如何使用 Artifact Registry、 Cloud Build、Cloud Deploy 和二進位授權等 Google Cloud 服務來保護開發管道，在整個 CI/CD 管道建構、測試及部署採用安全控管機制的容器化應用程式。
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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.
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.
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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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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In this quest you will get hands-on experience writing infrastructure as code with Terraform.
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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Learn how to use NotebookLM to create a personalized study guide for the Professional Cloud Architect certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
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完成 使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL 技能徽章入門課程，證明您具備下列技能： 使用「資料庫遷移服務」中各種可用的工作類型和連線選項， 將 MySQL 資料遷移至 Cloud SQL，以及在執行「資料庫遷移服務」工作時 遷移 MySQL 使用者資料。
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. 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.
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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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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。
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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This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services.
This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
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This course version is for non-English only. If you wish to take this course in English, please enroll here: Elastic Google Cloud Infrastructure: Scaling and Automation. If you wish to take it in another language, change your language in settings to see availability.
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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 quest of "Challenge Labs" gives the student preparing for the Google Cloud Certified Professional Cloud Architect certification hands-on practice with common business/technology solutions using Google Cloud architectures. Challenge Labs do not provide the "cookbook" steps, but require solutions to be built with minimal guidance, across many Google Cloud technologies. All labs have activity tracking, and in order to earn this badge you must score 100% in each lab. This quest is not easy and will put your Google Cloud technology skills to the test! Be aware that while practice with these labs will increase your knowledge and abilities, additional study, experience, and background in cloud architecture is recommended to prepare for this certification. Complete this quest to receive an exclusive Google Cloud digital badge.
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Learn how to use NotebookLM to create a personalized study guide for the Associate Cloud Engineer certification exam.
You'll review NotebookLM features, create a notebook in NotebookLM, and learn how to use a study guide to practice for a certification exam.
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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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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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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。
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
使用 Google Cloud Managed Service for Prometheus 監控環境
Earned Jun 11, 2026 EDT
Observability in Google Cloud
Earned Jun 11, 2026 EDT
在 Google Cloud 環境導入 DevSecOps 做法
Earned Jun 10, 2026 EDT
Troubleshooting with AI Using Cloud Assist Investigations
Earned Jun 9, 2026 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Jun 3, 2026 EDT
Getting Started with Terraform for Google Cloud
Earned Jun 2, 2026 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned May 29, 2026 EDT
Logging and Monitoring in Google Cloud
Earned May 28, 2026 EDT
Developing a Google SRE Culture
Earned May 21, 2026 EDT
Creating Infrastructure on Google Cloud with Terraform
Earned Nov 21, 2025 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned Sep 23, 2025 EDT
Build a Certification Study Guide: PCA Exam Prep
Earned Sep 23, 2025 EDT
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned May 21, 2025 EDT
DEPRECATED BigQuery for Marketing Analysts
Earned Nov 22, 2024 EST
使用 Gemini：應用程式開發人員
Earned Oct 22, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Oct 15, 2024 EDT
在 Agent Platform 設計提示
Earned Oct 15, 2024 EDT
負責任的 AI 技術簡介
Earned Oct 7, 2024 EDT
大型語言模型簡介
Earned Oct 7, 2024 EDT
生成式 AI 簡介
Earned Oct 2, 2024 EDT
[Deprecated]Enterprise Database Migration
Earned Aug 30, 2023 EDT
Elastic Google Cloud Infrastructure: Scaling and Automation - Locales
Earned Jul 5, 2022 EDT
可靠的 Google Cloud 基礎架構：設計與程序
Earned Jul 5, 2022 EDT
Cloud Architecture - Design, Implement, and Manage
Earned Oct 26, 2021 EDT
Build a Certification Study Guide: ACE Exam Prep
Earned Oct 22, 2021 EDT
開始使用 Google Kubernetes Engine
Earned Oct 21, 2021 EDT
彈性的 Google Cloud 基礎架構：資源調度與自動化
Earned Oct 19, 2021 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Oct 18, 2021 EDT
重要的 Google Cloud 基礎架構：核心服務
Earned Oct 15, 2021 EDT
重要的 Google Cloud 基礎架構：基本概念
Earned Oct 14, 2021 EDT
建立 Google Cloud 網路
Earned Oct 13, 2021 EDT
在 Google Cloud 設定應用程式開發環境
Earned Oct 13, 2021 EDT
Google Cloud 基礎知識：核心基礎架構
Earned Oct 10, 2021 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Oct 7, 2021 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Sep 30, 2021 EDT