開始使用 Sensitive Data Protection
Earned Jun 5, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned Jun 5, 2026 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 5, 2026 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace
Earned Jun 4, 2026 EDT
Work Meets Play: Cloud Canvas
Earned Jun 4, 2026 EDT
實現雲端協作與生產力工作流
Earned Jun 4, 2026 EDT
在 Looker 建構 LookML 物件
Earned Jun 3, 2026 EDT
Logic Log
Earned Jun 3, 2026 EDT
Looker 資料模型管理
Earned Jun 3, 2026 EDT
使用 Gemini：端對端 SDLC
Earned Jun 2, 2026 EDT
透過 BigQuery 機器學習執行推論作業
Earned May 29, 2026 EDT
使用 Gemini：數據資料學家和分析師
Earned May 27, 2026 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned May 27, 2026 EDT
建立 Google Cloud 網路
Earned May 27, 2026 EDT
使用 Firebase 開發無伺服器應用程式
Earned May 27, 2026 EDT
Google Cloud Compute 基本操作
Earned May 23, 2026 EDT
使用 Knowledge Catalog 建構資料網格
Earned May 21, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations
Earned May 21, 2026 EDT
在 Google App Engine 上部署及管理應用程式
Earned May 19, 2026 EDT
Arcade Adventure: Modern App Deployment
Earned May 19, 2026 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned May 18, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations
Earned May 18, 2026 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned May 14, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned May 14, 2026 EDT
在 Google Cloud 使用機器學習 API
Earned May 11, 2026 EDT
設定 Google Cloud 網路
Earned May 11, 2026 EDT
Skill Up Summer
Earned May 11, 2026 EDT
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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AI 推論是指下列流程：使用經過訓練的機器學習模型，應用習得的模式，對未見過的新資料進行預測。這門課程適合有興趣在 Cloud Run 快速部署 AI 推論服務的開發人員、資料科學家和機器學習工程師。如果您熟悉雲端式無伺服器應用程式部署解決方案，不過可能未曾使用 Google Cloud 無伺服器產品執行 AI 推論，這門課程相當適合您。
課程包含範例，呈現如何使用 GPU 部署 AI 推論模型，以及整合生成式 AI 應用程式與資料儲存服務。
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本課程專為 Google Cloud 開發人員和 DevOps 工程師設計，建議的修習對象為熟悉 Google Cloud 控制台基本操作，且需要為組織設定 Gemini Code Assist 者。課程將介紹 Gemini Code Assist 的優點、比較不同版本的功能，並展示如何在組織內設定及管理 Gemini Code Assist。
Writing code is just the first step; you also need to know how to deploy it smoothly and keep it running at its best. In this adventure, you’ll get started with serverless setups by running code on Cloud Run Functions and connecting your services using Google Cloud Pub/Sub. From there, you'll work on the operations side—building out clean development environments, keeping tabs on multiple projects at once, and setting up smart alerts so you can spot and fix issues early. With a couple of challenge labs thrown into the mix, you’ll walk away with the skills needed to build, monitor, and scale apps on Google Cloud.
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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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完成使用預訓練 API 實現語音和語言解決方案課程以獲得技能徽章，了解如何使用與語音相關的 API 工具來合成和轉錄語音。
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Keeping your cloud resources secure and making your apps smarter are two essential skills for any cloud developer. In this voyage, you’ll start with the security fundamentals, learning how to configure service accounts, manage IAM permissions using gcloud, and set up custom roles. Once you've secured your environment, you'll work with Google Cloud's pre-trained AI tools—converting text to synthetic speech, translating languages on the fly, and transcribing audio files into text. Complete with two practical challenge labs to test your skills, you'll walk away knowing how to safely manage access to your cloud project while adding powerful language and speech features to your applications.
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完成「為 Google Cloud 設定服務帳戶和 IAM 角色」課程，即可獲得入門級技能徽章。這門課程會介紹服務帳戶、自訂角色，以及如何使用 gcloud 設定權限。
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Complete the intermediate Build Global and Regional Load Balancing Solutions skill badge course to demonstrate skills in the following: deploy and utilize an internal client VM within the same VPC network and test traffic distribution, backend infrastructure suitable for a global external application Load Balancer, and backend VM instances and load balancer components using startup scripts and network tags to host a web application service.
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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!
完成「開始使用 Sensitive Data Protection」 技能徽章入門課程，證明您具備下列技能：使用 Sensitive Data Protection 服務 (包括 Cloud Data Loss Prevention API) 來檢查、遮蓋及去識別化 Google Cloud 中的機密資料。
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Raw data is only useful if it is clean, structured, and secure. In this track, you’ll start by processing and preparing data using Dataprep, Dataflow templates, and Apache Spark. You'll learn how to clean up datasets so they are ready for machine learning models. From there, you'll focus on security by working with tools that find and mask sensitive information like personal IDs and credentials. You'll practice redacting critical details and creating safe, de-identified copies of your data in Cloud Storage. By finishing the hands-on challenge labs, you’ll show you can handle big data workflows while keeping confidential information completely safe.
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完成 在 Google Cloud 為機器學習 API 準備資料 技能徽章入門課程，即可證明您具備下列技能： 使用 Dataprep by Trifacta 清理資料、在 Dataflow 執行資料管道、在 Managed Service for Apache Spark 建立叢集和執行 Apache Spark 工作，以及呼叫機器學習 API，包含 Cloud Natural Language API、Google Cloud Speech-to-Text API 和 Video Intelligence API。
Great ideas come to life when creativity meets the right tools. Inspired by how Adobe connects its creative universe with Google Workspace to boost collaboration, this challenge shows you how to build seamless, efficient workflows. You’ll start with the basics of setting up shared spaces in Google Drive, managing communications in Gmail, and building no-code apps with AppSheet. From there, you'll connect your workspace to powerful data tools—using Apps Script to automate tasks across Sheets and Maps, analyzing massive datasets with Connected Sheets, and sending that data directly into slide presentations. By the end, you'll know how to bridge the gap between data and design to keep your projects running smoothly.
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完成「實現雲端協作與生產力工作流」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。
Building a reliable platform for data analysis requires structured data modeling and clean, maintainable code. In this challenge, you’ll start with the building blocks of LookML, creating custom dimensions, measures, and derived tables to shape your data exactly how you need it. From there, you'll work on making your platform faster and easier to use by setting up caching, defining datagroups, and modularizing your code using extends. By following these development best practices, you'll walk away knowing how to build efficient, scalable data models that your team can easily rely on.
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。
完成「使用 Knowledge Catalog 建構資料網格」技能徽章入門課程，即可證明您具備下列技能：使用 Knowledge Catalog 建構資料網格， 以利在 Google Cloud 維護資料安全性，並協助治理和探索資料。您將練習並測試自己的技能，包括在 Knowledge Catalog 為資產加上標記、指派 IAM 角色，以及評估資料品質。
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Working with data and applications requires the right balance of governance and agility. In this voyage, you’ll use Dataplex to organize, secure, and assess data quality while exploring concepts like data mesh. Alongside, you’ll get hands-on with Firebase—building serverless apps, working with Firestore, and managing data in real time—bringing together modern data management and application development.
Building and running applications on Google Cloud can take many forms—and this adventure brings them together. Get hands-on with App Engine, Cloud Run, Kubernetes Engine, and Compute Engine as you deploy applications, manage scaling, and explore modern architectures, including the shift from monolithic to microservices.
Securing applications and streamlining delivery go hand in hand in modern cloud environments. In this trail, you’ll work with tools like Cloud KMS, Identity-Aware Proxy, and service accounts to manage access and protect resources. You’ll also explore private Kubernetes clusters, artifact management, and build CI/CD pipelines with Cloud Build—bringing together the essentials of cloud security and DevOps in practice.
As platforms grow, maintaining speed, reliability, and seamless user experiences becomes critical. Inspired by Bobble AI and its journey to support millions of real-time interactions, this challenge explores how cloud-native systems are designed for efficiency at scale. You’ll work with Docker and Kubernetes to run and orchestrate applications, while also using IAM, Cloud Storage, and Monitoring to manage access, data, and performance. The result: a clearer view of how the right mix of containers, automation, and observability keeps modern applications fast, resilient, and efficient.
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完成「在 Google Cloud 使用機器學習 API」課程，即可獲得進階技能徽章。本課程說明以下機器學習和 AI 技術的基本功能： Cloud Vision API、Cloud Translation API 和 Cloud Natural Language API。
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完成「設定 Google Cloud 網路」課程，即可獲得技能徽章。 您將瞭解如何在 Google Cloud Platform 執行基本的網路工作，包括建立自訂網路、新增子網路防火牆規則，還有建立 VM 並測試 VM 之間的通訊延遲。
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A season to build, experiment, and grow—one skill at a time. You’ll start with the fundamentals of networking, creating the foundation that connects everything together. From there, you’ll step into automation and application development using Cloud Scheduler, App Engine, and machine learning APIs. By the end, you’ll have a more confident, hands-on understanding of how modern applications are built, connected, and run on the cloud.
Build a Certification Study Guide: ACE Exam Prep
Earned Jun 11, 2026 EDT
使用 Cloud Run 部署及擴充 AI 模型
Earned Jun 10, 2026 EDT
設定組織專用的 Gemini Code Assist
Earned Jun 9, 2026 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Jun 9, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability
Earned Jun 9, 2026 EDT
在 Google Cloud 設定應用程式開發環境
Earned Jun 9, 2026 EDT
使用預訓練 API 實現語音和語言解決方案
Earned Jun 8, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs
Earned Jun 8, 2026 EDT
為 Google Cloud 設定服務帳戶和 IAM 角色
Earned Jun 7, 2026 EDT
Build Global and Regional Load Balancing Solutions
Earned Jun 6, 2026 EDT
Arcade Base Camp June 2026
Earned Jun 6, 2026 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned Jun 6, 2026 EDT
開始使用 Sensitive Data Protection
Earned Jun 5, 2026 EDT
Arcade Trail: Data Engineering and Information Protection
Earned Jun 5, 2026 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned Jun 5, 2026 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace
Earned Jun 4, 2026 EDT
Work Meets Play: Cloud Canvas
Earned Jun 4, 2026 EDT
實現雲端協作與生產力工作流
Earned Jun 4, 2026 EDT
在 Looker 建構 LookML 物件
Earned Jun 3, 2026 EDT
Logic Log
Earned Jun 3, 2026 EDT
Looker 資料模型管理
Earned Jun 3, 2026 EDT
使用 Gemini：端對端 SDLC
Earned Jun 2, 2026 EDT
透過 BigQuery 機器學習執行推論作業
Earned May 29, 2026 EDT
使用 Gemini：數據資料學家和分析師
Earned May 27, 2026 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned May 27, 2026 EDT
建立 Google Cloud 網路
Earned May 27, 2026 EDT
使用 Firebase 開發無伺服器應用程式
Earned May 27, 2026 EDT
Google Cloud Compute 基本操作
Earned May 23, 2026 EDT
使用 Knowledge Catalog 建構資料網格
Earned May 21, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations
Earned May 21, 2026 EDT
在 Google App Engine 上部署及管理應用程式
Earned May 19, 2026 EDT
Arcade Adventure: Modern App Deployment
Earned May 19, 2026 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識
Earned May 18, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations
Earned May 18, 2026 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned May 14, 2026 EDT
Work Meets Play: Expressive Efficiency
Earned May 14, 2026 EDT
在 Google Cloud 使用機器學習 API
Earned May 11, 2026 EDT
設定 Google Cloud 網路
Earned May 11, 2026 EDT
Skill Up Summer
Earned May 11, 2026 EDT