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Akshat Tripathi

Member since 2023

Diamond League

18930 points
保護 Lakehouse 資料 Earned Jul 28, 2026 EDT
Arcade Adventure: Low-Code Development Earned Jul 26, 2026 EDT
Looker 資料模型管理 Earned Jun 28, 2026 EDT
在 Looker 建構 LookML 物件 Earned Jun 28, 2026 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned Jun 28, 2026 EDT
為 Google Cloud 設定服務帳戶和 IAM 角色 Earned Jun 28, 2026 EDT
透過 Google Cloud Observability 監控及記錄系統狀態 Earned Jun 28, 2026 EDT
Arcade Base Camp June 2026 Earned Jun 27, 2026 EDT
Arcade Voyage: Identity Management and Pre-trained AI APIs Earned Jun 27, 2026 EDT
Logic Log Earned Jun 27, 2026 EDT
Arcade Adventure: App Dev and Cloud Observability Earned Jun 27, 2026 EDT
Arcade Trail: Data Engineering and Information Protection Earned Jun 24, 2026 EDT
Work Meets Play: Cloud Canvas Earned Jun 21, 2026 EDT
Work Meets Play: Expressive Efficiency Earned May 24, 2026 EDT
Arcade Trail: Cloud Security and DevOps Foundations Earned May 23, 2026 EDT
Arcade Voyage: Data Governance and Firebase Foundations Earned May 23, 2026 EDT
Arcade Adventure: Modern App Deployment Earned May 22, 2026 EDT
Skill Up Summer Earned May 19, 2026 EDT
Google Cloud 基礎知識：核心基礎架構 Earned May 18, 2026 EDT
使用 Chrome Enterprise Premium 安全功能保護雲端流量 Earned May 16, 2026 EDT
使用 BigQuery ML 為預測模型進行資料工程 Earned May 16, 2026 EDT
Arcade Base Camp May 2026 Earned May 16, 2026 EDT
Arcade Base Camp April 2026 Earned Apr 30, 2026 EDT
使用 Google Cloud Speech API Earned Apr 24, 2026 EDT
為 Looker 資訊主頁和報表準備資料 Earned Apr 23, 2026 EDT
在 Google Cloud 使用機器學習 API Earned Apr 20, 2026 EDT
Arcade Adventure: GKE Operations and Networking Earned Apr 18, 2026 EDT
Arcade Trail: Data Migration Earned Apr 18, 2026 EDT
從 BigQuery 資料取得深入分析結果 Earned Apr 18, 2026 EDT
Arcade Voyage: Modern Application Development Earned Apr 15, 2026 EDT
在 Google Cloud 設定應用程式開發環境 Earned Apr 15, 2026 EDT
Works Meet Play: Skills Spawn Earned Apr 13, 2026 EDT
在 Google Cloud 實作 Cloud 安全防護措施：基礎知識 Earned Apr 12, 2026 EDT
Dialogue Design Earned Apr 8, 2026 EDT
Workspace：資料整合服務 Earned Mar 25, 2026 EDT
使用預訓練 API 實現語音和語言解決方案 Earned Mar 25, 2026 EDT
在連結試算表中分析 BigQuery 資料 Earned Mar 24, 2026 EDT
監控及管理 Google Cloud 資源 Earned Mar 24, 2026 EDT
Google Cloud 監控工具 Earned Mar 24, 2026 EDT
使用 Apps Script 整合 BigQuery 資料與 Google Workspace Earned Mar 24, 2026 EDT
在 Google Cloud 實作 DevOps 工作流程 Earned Mar 24, 2026 EDT
使用 Cloud Vision API 分析圖片 Earned Mar 24, 2026 EDT
充實中繼資料及發掘 Lakehouse 資料 Earned Mar 24, 2026 EDT
實現 Cloud Storage 和數據保護解決方案 Earned Mar 23, 2026 EDT
使用 Google API 分析語音和語言 Earned Mar 23, 2026 EDT
使用 AppSheet 建構應用程式 Earned Mar 22, 2026 EDT
設定 Google Cloud 網路 Earned Mar 21, 2026 EDT
在 Google Cloud 儲存、處理與管理資料 - 控制台 Earned Mar 21, 2026 EDT
使用 API Gateway 部署及保護無伺服器 API Earned Mar 20, 2026 EDT
Arcade Adventure: Security, Data, and Cloud Operations Earned Mar 20, 2026 EDT
Arcade Base Camp March 2026 Earned Mar 20, 2026 EDT
使用 Eventarc 建構事件導向應用程式 Earned Mar 20, 2026 EDT
Google Cloud Compute 基本操作 Earned Mar 19, 2026 EDT
在 Google App Engine 上部署及管理應用程式 Earned Mar 19, 2026 EDT
Arcade March 2026 Sprint 1 Earned Mar 18, 2026 EDT
Arcade March 2026 Sprint 2 Earned Mar 18, 2026 EDT
使用 Dataplex 整理及管理資料 Earned Mar 18, 2026 EDT
Arcade March 2026 Sprint 3 Earned Mar 18, 2026 EDT
Arcade March 2026 Sprint 4 Earned Mar 17, 2026 EDT
實現事件驅動的即時訊息與自動化工作流 Earned Mar 17, 2026 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估 Earned Mar 17, 2026 EDT
Arcade Voyage: AI and Cloud Deployment Earned Mar 13, 2026 EDT
Arcade Trail: Automation and Analytics Earned Mar 11, 2026 EDT
Holi-istic Infrastructures Earned Mar 9, 2026 EDT
Work Meets Play: Metrics in Motion Earned Mar 5, 2026 EST
生成式 AI 適用的機器學習運作 (MLOps) Earned Mar 3, 2026 EST
運用 BigQuery ML 建立機器學習模型 Earned Mar 2, 2026 EST
透過 Gemini in BigQuery 提升工作效率 Earned Mar 1, 2026 EST
Arcade Adventure: Analytics and Automation Earned Feb 23, 2026 EST
在 BigQuery 使用 Gemini 模型 Earned Feb 22, 2026 EST
Arcade February 2026 Sprint 4 Earned Feb 21, 2026 EST
Arcade February 2026 Sprint 3 Earned Feb 20, 2026 EST
Arcade February 2026 Sprint 2 Earned Feb 20, 2026 EST
Arcade February 2026 Sprint 1 Earned Feb 19, 2026 EST
Skills At The Pitch Earned Feb 17, 2026 EST
From Foundations To Wonders Earned Feb 17, 2026 EST
Arcade Trail: Application Development Earned Feb 11, 2026 EST
Arcade Voyage: Data Tools Earned Feb 10, 2026 EST
Work Meets Play: Journeys Made Easy Earned Feb 9, 2026 EST
Arcade Base Camp February 2026 Earned Feb 8, 2026 EST
[DEPRECATED] 使用 Gemini：數據資料學家和分析師 Earned Feb 6, 2026 EST
Work Meets Play: A Cloud That Cares Earned Jan 30, 2026 EST
Google Skills Arcade Base Camp January 2026 Earned Jan 28, 2026 EST
Google Skills Arcade Trivia January 2026 Week 4 Earned Jan 27, 2026 EST
Google Skills Arcade Trivia January 2026 Week 3 Earned Jan 27, 2026 EST
Google Skills Arcade Trivia January 2026 Week 2 Earned Jan 27, 2026 EST
Google Skills Arcade Certification Zone January 2026 Earned Jan 24, 2026 EST
Google Skills Arcade Trivia January 2026 Week 1 Earned Jan 22, 2026 EST
Level 3: Applied Generative AI Earned Jan 18, 2026 EST
Level 2: Event-Driven Systems Earned Jan 17, 2026 EST
Work Life Refresh Earned Jan 15, 2026 EST
Level 1: Compute, Storage and Monitoring Earned Jan 13, 2026 EST
使用 Firebase 開發無伺服器應用程式 Earned Dec 30, 2025 EST
運用 Cloud Run 開發無伺服器應用程式 Earned Dec 30, 2025 EST
管理 Google Cloud 中的 Kubernetes Earned Dec 29, 2025 EST
在 Google Cloud 實作 CI/CD 管道 Earned Dec 29, 2025 EST
建構安全的 Google Cloud 網路 Earned Dec 28, 2025 EST
Google Skills Arcade Trivia December 2025 Week 4 Earned Dec 27, 2025 EST
Google Skills Arcade Trivia December 2025 Week 3 Earned Dec 25, 2025 EST
Google Skills Arcade Trivia December 2025 Week 2 Earned Dec 25, 2025 EST
Google Skills Arcade Trivia December 2025 Week 1 Earned Dec 25, 2025 EST
Google Skills Arcade Certification Zone December 2025 Earned Dec 24, 2025 EST
Level 2: Strategic Cloud Security and Intelligent Network Design Earned Dec 23, 2025 EST
Winter Wins Earned Dec 21, 2025 EST
Level 1: Applied Intelligence and Cloud Architecture Earned Dec 20, 2025 EST
Level 3: Cloud Development Essentials Earned Dec 17, 2025 EST
Google Skills Arcade Base Camp December 2025 Earned Dec 13, 2025 EST
建立 Google Cloud 網路 Earned Dec 10, 2025 EST
在 Cloud Storage 建立安全的資料湖泊 Earned Dec 5, 2025 EST
在 Google Cloud 實作 Sensitive Data Protection Earned Dec 3, 2025 EST
使用 Cloud Run functions 建構無伺服器應用程式 Earned Nov 29, 2025 EST
在 Google Cloud 儲存、處理與管理資料 - 指令列 Earned Nov 27, 2025 EST
以串流方式將分析資料傳入 BigQuery Earned Nov 27, 2025 EST
使用 Google Data Cloud 共用資料 Earned Nov 26, 2025 EST
Google DeepMind：訓練小型語言模型 Earned Nov 26, 2025 EST
實現雲端協作與生產力工作流 Earned Nov 25, 2025 EST
使用 Document AI 大規模自動擷取資料 Earned Nov 25, 2025 EST
在 Google Cloud 為機器學習 API 準備資料 Earned Nov 22, 2025 EST
[DEPRECATED] AI Boost Bites: "Eat the Frog" with NotebookLM Earned Sep 2, 2025 EDT
AI Boost Bites：Gemini 圖片轉試算表妙招 Earned Sep 2, 2025 EDT
AI Boost Bites：找出策略漏洞 Earned Sep 2, 2025 EDT
[DEPRECATED] AI Boost Bites: NotebookLM for Competitive Edge Earned Sep 2, 2025 EDT
AI Boost Bites：使用自訂提示詞打造個人化體驗 Earned Sep 1, 2025 EDT
AI Boost Bites：使用 Google 文件和雲端硬碟的內建 Gemini 進行重點摘要 Earned Sep 1, 2025 EDT
AI Boost Bites：使用 Google Workspace，掌握撰寫提示詞的專業技巧 Earned Sep 1, 2025 EDT
AI Boost Bites：使用 Gemini 輕鬆生成內容 Earned Sep 1, 2025 EDT
[DEPRECATED] AI Boost Bites: Customer insights with NotebookLM Earned Sep 1, 2025 EDT
AI Boost Bites：Gemini Gems - 最佳行銷幫手 Earned Sep 1, 2025 EDT
在 Agent Platform 探索生成式 AI Earned Aug 30, 2025 EDT
使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件 Earned Aug 27, 2025 EDT
使用 Gemini 和 Streamlit 開發生成式 AI 應用程式 Earned Aug 26, 2025 EDT
Gemini 和 Imagen 實務應用：建構 AI 應用程式 Earned Jul 10, 2025 EDT
在 Agent Platform 設計提示 Earned Jul 9, 2025 EDT

完成「保護 Lakehouse 資料」技能徽章入門課程，即可證明您具備下列技能：在 Knowledge Catalog 中使用 IAM、BigQuery、 Lakehouse 和 Data Catalog，建立並保護 Lakehouse 資料表。

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Who says you need a mountain of code to build great software? This adv is your fast lane to rapid app development and automation. First, you'll jump into Google AppSheet to build and launch fully functional apps entirely code-free. Then, you'll master the backend with Cloud Run Functions, deploying event-driven code via the console and command line. Packed with two hands-on challenge labs, this quest is your ticket to building slick apps and scaling them effortlessly on Google Cloud.

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完成 Looker 資料模型管理技能徽章中階課程，即可證明您具備下列技能：維護 LookML 專案的健全性、運用 SQL Runner 驗證資料、採用 LookML 最佳做法、改良查詢及 報表，並執行永久衍生資料表和快取政策。

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完成「在 Looker 建構 LookML 物件」技能徽章入門課程， 即可證明您具備下列技能： 建立新的維度和測量指標、檢視畫面和衍生資料表；根據需求設定測量指標篩選器和類型； 更新維度和測量指標； 建構及調整「探索」；將檢視表彙整至現有「探索」；以及配合業務需求決定要建立哪些 LookML 物件。

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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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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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完成 透過 Google Cloud Observability 監控及記錄系統狀態 技能徽章入門課程， 即可證明您具備下列技能：監控 Compute Engine 中的虛擬機器、 運用 Cloud Monitoring 監管多項專案、在 Cloud Functions 延伸應用監控和記錄功能、 建立和傳送自訂應用程式指標，以及根據自訂指標設定 Cloud Monitoring 快訊。

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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!

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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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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.

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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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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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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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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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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.

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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.

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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.

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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.

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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「使用 Chrome Enterprise Premium 安全功能保護雲端流量」技能徽章課程，即可獲得技能徽章。本課程將說明 如何運用 Chrome Enterprise Premium 安全存取重要應用程式和服務、透過現代化 零信任平台強化資安態勢、使用身分和情境感知存取控管機制安全存取資源，以及使用 Client Connector 支援混合雲工作負載。

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完成使用 BigQuery ML 為預測模型進行資料工程技能徽章中階課程， 即可證明自己具備下列知識與技能：運用 Dataprep by Trifacta 建構連至 BigQuery 的資料轉換 pipeline； 使用 Cloud Storage、Dataflow 和 BigQuery 建構「擷取、轉換及載入」(ETL) 工作負載， 以及使用 BigQuery ML 建構機器學習模型。

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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!

Learn more

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!

Learn more

完成「使用 Google Cloud Speech API」課程，即可獲得技能徽章。本課程將說明如何建立 Speech-to-Text API 要求、將音訊 及語音轉錄為文字。

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完成「為 Looker 資訊主頁和報表準備資料」技能徽章入門課程， 即可證明您具備下列技能：可篩選、排序和 pivot 資料、合併不同的 Looker 探索結果， 還能使用函式和運算子建構 Looker 資訊主頁和報表，取得資料分析結果和圖表。

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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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Google Kubernetes Engine (GKE) is all about running and managing containerized applications without worrying too much about the underlying setup. In this adventure, you’ll get hands-on with how things actually work—managing workloads, debugging issues, and trying out autoscaling. You’ll also explore Autopilot, run load tests, and work with private clusters and network access. By the end, you’ll have a clearer sense of how GKE setups are put together and handled in practice.

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A lot of cloud work comes down to moving data, managing access, and making sense of what’s happening behind the scenes. In this trail, you’ll migrate a MySQL database to Google Cloud, work with IAM permissions using gcloud, and analyze network traffic with VPC Flow Logs. You’ll also store and manage media files, prepare data with Dataprep, and build reports using Looker Studio and LookML. There’s even a lab on measuring Speech-to-Text accuracy. It’s a mix of tasks that shows how data is handled, monitored, and used across different parts of Google Cloud.

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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。

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On Google Cloud, building an app usually means handling more than just the code. You’ll need to deploy it, connect services, and keep things running properly. In this voyage, you’ll host a web app, set up a deployment pipeline, and build a REST API with Cloud Run. You’ll also try out Flutter and set up a Python development environment. You’ll work with VPC networks, load balancing, and clean up unused resources along the way. It’s a practical set of tasks that reflects how apps are actually run 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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Online games can get unpredictable. One update drops, a new event goes live—and suddenly, thousands of players are logging in at the same time. That’s where the backend really gets tested. Companies like Com2uS rely on cloud infrastructure to handle exactly this kind of pressure without things falling apart. Here, you’ll work through the same building blocks—setting up networks, handling secure connections, and deploying apps with Docker and Kubernetes. You’ll add authentication, keep an eye on things with logging, and move data when needed. It’s the kind of work that keeps everything running smoothly while players just focus on the game.

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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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78%—or nearly 8 in 10—business leaders say Google Cloud helps them stay ahead in the age of AI. A big part of that comes down to how teams build and connect intelligent systems. Here, you’ll build and manage conversational agents, and use speech-to-text and translation APIs to handle different types of input. You’ll also move from monolithic apps to microservices on GKE, connect workflows using webhooks, and use observability tools to keep track of what’s happening. IAM comes in as well to manage access where needed. It’s a practical look at how these pieces are used together in real setups.

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本課程示範將 Google Cloud 服務和工具 與 Workspace 應用程式整合後所能帶來的強大功能。您將使用 BigQuery API、Apps Script、試算表和簡報， 直接連結 Google Cloud 資料來源， 以便收集、分析和呈現資料。

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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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完成「在連結試算表中分析 BigQuery 資料」技能徽章，即可證明您能使用連結試算表，在 Google 試算表中存取、分析及共用數十億列的 BigQuery 資料，還能以圖表呈現。

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完成「監控及管理 Google Cloud 資源」技能徽章入門課程，即可證明您具備下列技能：授予及撤銷 IAM 權限； 安裝 Monitoring 和 Logging 代理程式；建立、部署及測試事件導向的 Cloud Run 函式。

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完成「Google Cloud 監控工具」技能徽章入門課程， 即可證明您具備下列技能：使用 Cloud Monitoring 工具監控 Google Cloud 資源。

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完成「使用 Apps Script 整合 BigQuery 資料與 Google Workspace」技能徽章入門課程，即可證明您瞭解如何透過 AppSheet 將 Workspace 產品連結至 BigQuery。

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完成 在 Google Cloud 實作 DevOps 工作流程 技能徽章中階課程， 即可證明您具備下列技能：建立與管理 Git 存放區、 在 Google Kubernetes Engine (GKE) 發布、管理和調度 Deployment， 以及建立 CI/CD 管道，自動建構容器映像檔與執行 GKE 部署作業。

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完成使用 Cloud Vision API 分析圖片課程，即可獲得技能徽章。本課程說明如何運用 Cloud Vision API 執行各種工作，包括擷取圖片中的文字。

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完成「充實中繼資料及發掘 Lakehouse 資料」技能徽章課程，即可證明您具備 BigQuery、 Lakehouse 和 Knowledge Catalog 的相關技能。您會建立 Lakehouse 資料表，並充實中繼資料管理和資料表資料探索功能。

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若想獲得技能徽章，請完成實現 Cloud Storage 和數據保護解決方案 技能徽章課程，您將在此瞭解如何建立 Cloud Storage bucket、 如何使用 Cloud Storage 指令列，以及如何在區塊中使用值區鎖定功能保護物件。

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完成「使用 Google API 分析語音和語言」課程， 瞭解如何將 Natural Language API 和 Speech API 投入實際應用， 即可獲得技能徽章。

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完成使用 AppSheet 建構應用程式課程，即可獲得技能徽章 ，瞭解如何使用 AppSheet 建構、設定及發布應用程式。

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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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Cloud Storage、Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服務， 可用於儲存、處理及管理資料。您可以整合運用這三種服務， 打造各式各樣的資料導向應用程式。在這個技能徽章課程中， 您將使用 Cloud Storage 儲存圖片、透過 Cloud Functions 處理， 並利用 Cloud Pub/Sub 將圖片傳送至其他應用程式。

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完成「使用 API Gateway 部署及保護無伺服器 API」課程，即可獲得技能徽章。 本課程將說明如何使用 API Gateway，透過全代管閘道部署、保護及管理 API。

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Over 80% of security breaches are linked to misconfigurations and weak access controls — which is why mastering cloud security and automation matters. In this adventure, you’ll detect and investigate threats with Security Command Center, create IAM custom roles, and secure digital transactions using Confidential Space. You’ll also strengthen your data and infrastructure skills by working with Datastore, Pub/Sub, Cloud Storage APIs, data joins and warehousing techniques, load balancers, Terraform, and CI/CD pipelines with Jenkins on Kubernetes Engine. Together, these labs help you build secure, reliable, and scalable cloud environments with confidence.

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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!

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完成「使用 Eventarc 建構事件導向應用程式」課程，即可獲得技能徽章。 在本課程中，您將使用 Eventarc 為不同資源 (包括 Pub/Sub 主題和 Cloud Storage bucket) 建立事件觸發條件。

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完成「Google Cloud Compute 基本操作」任務， 學習如何在 Compute Engine 中使用虛擬機器 (VM)、永久磁碟 和網路伺服器，即可獲得技能徽章。

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完成「在 Google App Engine 上部署及管理應用程式」課程，即可獲得技能徽章。本課程將說明如何搭配 Python、Go 和 PHP 使用 App Engine。

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This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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完成「使用 Dataplex 整理及管理資料」技能徽章入門課程，即可證明您具備下列技能：建立 Dataplex 資產、建立切面類型，以及將切面套用至 Dataplex 中的項目。 技能徽章課程透過實作實驗室和挑戰評量，檢驗學員對於特定產品的實作知識。 完成課程或直接進行挑戰實驗室，即可取得徽章。徽章可證明您的專業能力、提升專業形象，開創更多職涯發展機會。前往個人資料頁面，追蹤您獲得的徽章。

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This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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完成「實現事件驅動的即時訊息與自動化工作流」任務，即可獲得 技能徽章。 技能徽章課程，您將瞭解如何透過 Cloud 控制台使用 Pub/Sub、 如何使用 Cloud Scheduler 工作節省心力，並透過 Pub/Sub Lite 節省擷取大量事件 的費用。

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本課程針對評估生成式和預測式 AI 模型，向機器學習從業人員介紹相關的基礎工具、技術和最佳做法。模型評估是機器學習的重要領域，確保這類系統能在正式環境中提供可靠、準確且成效優異的結果。 學員將深入瞭解多種評估指標與方法，以及適用於不同模型類型和工作的應用方式。此外，也會特別介紹生成式 AI 模型帶來的獨特難題，並提供有效的應對策略。透過 Google Cloud Vertex AI 平台，學員將瞭解在模型挑選、最佳化和持續監控方面，該如何導入穩健的評估程序。

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Over 85% of enterprises are accelerating AI and cloud adoption to stay ahead. In this voyage, you’ll prepare and protect data using Dataprep and the Cloud Data Loss Prevention API, scan for vulnerabilities, and validate workloads. You’ll also build and deploy modern applications using Cloud Build, GKE pipelines, App Engine Flexible, and Artifact Registry — while creating AI-powered solutions with Vertex AI, Gemini, and Speech-to-Text. Together, these labs help you secure data, deploy confidently, and build intelligent cloud applications at scale.

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Modern cloud teams rely on automation and strong platform knowledge to move faster and smarter. In this trail, you’ll deploy Kubernetes Load Balancers and Cloud SQL using Terraform, strengthen observability with Cloud Logging, and customize analytics experiences in Looker using Liquid. You’ll also put your knowledge to the test through role-based Arcade Quizzes — from Data Practitioner and Database Engineer to Workspace Administrator — sharpening both your technical confidence and real-world readiness.

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Holi is all about bringing different colors together — and that’s exactly what this challenge does with technology. You’ll package applications with Docker, manage deployments using Kubernetes Engine, secure access with IAM and VPN, and deploy apps on App Engine. You’ll also store data in Cloud Storage and explore how AI APIs can analyze, classify, and translate text. It’s a hands-on way to see how different cloud pieces come together to build something reliable, secure, and smart.

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Great data experiences don’t happen by accident — they’re modeled, optimized, and scaled with intent. In this challenge, you’ll build a strong foundation with Looker by creating modeled queries, defining measures and dimensions, modularizing LookML with extends, and refining logic using functions and operators. You’ll filter Explores, merge results, and sort insights to uncover what truly matters. You’ll also enhance performance with caching and explore distributed processing with Dataproc. These are the same capabilities that Zoomcar used on Google Cloud to modernize its data stack — and now, you get to build them too!

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本課程旨在提供必要的知識和工具，協助您探索機器學習運作團隊在部署及管理生成式 AI 模型時面臨的獨特挑戰，並瞭解 Vertex AI 如何幫 AI 團隊簡化機器學習運作程序，打造成效非凡的生成式 AI 專案。

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完成「運用 BigQuery ML 建立機器學習模型」技能徽章中階課程，即可證明您具備下列技能： 可使用 BigQuery ML 建立及評估機器學習模型，並根據資料進行預測。

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本課程會說明 Gemini in BigQuery，這是一套由 AI 輔助的功能，可協助「從資料到 AI」的工作流程。這些功能包含資料探索和準備、程式碼生成和疑難排解，以及工作流程探索和視覺化。本課程將透過概念解說、應用實例和實作實驗室，協助資料從業人員提升工作效率，並加速開發 pipeline。

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Over 70% of cloud professionals say hands-on practice is the most effective way to build real-world skills. In this adventure, you’ll develop hands-on skills across data analytics, automation, security, networking, and application deployment using Google Cloud and Workspace tools. You’ll create dashboards and alerts in Looker, analyze security findings, work with AI-powered services, deploy CI/CD pipelines, and manage network access and traffic insights—strengthening your ability to design, monitor, and operate reliable, scalable cloud solutions.

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本課程將示範如何在 BigQuery 運用 AI/機器學行模型，以執行生成式 AI 任務。透過涉及顧客關係管理的應用實例，您將瞭解運用 Gemini 模型解決業務問題的工作流程。為了便於理解，本課程還提供了採用 SQL 查詢和 Python 筆記本的程式設計解決方案，指導您逐步操作。

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This month's Arcade Sprint 4 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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This month's Arcade Sprint 3 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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This month's Arcade Sprint 2 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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This month's Arcade Sprint 1 is live! It's designed for quick learning. Since the labs are open all month, there's no rush; just jump in when you have the time. You'll earn 1 Arcade Point and a new skill with each step. It's that simple: grab your point and keep the momentum going!

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Pup and Kit’s World Cup journey highlights how the right skills quietly power great experiences. As they plan, adapt, and stay in sync using data, automation, and cloud-based tools, the story nudges you to step into their shoes and build those capabilities yourself. Each lab mirrors a moment from their adventure, encouraging you to explore, experiment, and strengthen skills that help you stay prepared, move faster, and make smarter choices-whatever the situation demands.

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As Pup and Kit move through the city between matches—booking plans on the fly, exploring structures built to last, and navigating busy streets—the story reflects what it takes to keep systems running smoothly behind the scenes. From securing storage and shaping networks to improving performance, reliability, and cost efficiency, these labs echo the quiet work that makes flexibility possible. Along the way, hands-on challenges and quizzes sharpen decision-making, so when it’s time for the next big play, everything is ready to perform.

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Developers using managed cloud services can reduce infrastructure management effort by up to 60%, allowing more time to focus on building features that matter. In this level, you’ll gain hands-on experience with Cloud SQL, containerized workloads, and cloud-native application development through the Arcade ACE App Dev series, helping you design, deploy, and manage scalable applications more efficiently.

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Getting started with cloud and data tools is all about building strong fundamentals. In this voyage, you’ll gain hands-on skills by working with Google Cloud APIs, Compute Engine, Cloud Storage, networking, and serverless services. You’ll also explore how to collect, validate, analyze, and visualize data using Google Sheets and Forms, while learning how to manage secure access with Vault policies. Together, these labs help you build confidence with core cloud services and everyday data workflows that support efficient, secure, and scalable solutions.

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It begins with a simple question: Where to next? Inspired by Agoda’s AI-powered travel platform, this challenge shows how AI helps turn preferences into vivid destinations, detailed itineraries, and stunning visuals. You’ll build intelligent apps that understand intent, generate rich content, and deliver real-time recommendations — supported by cloud-native services that keep everything fast, reliable, and seamless. The result: planning that feels effortless, inspiring, and part of the journey itself.

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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!

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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，可協助分析客戶資料及預測產品銷售情形。您也會學習如何在 BigQuery 中使用客戶資料識別、分類及開發新客戶。透過使用實作研究室，您可以體驗 Gemini 如何改良資料分析和機器學習工作流程。 Duet AI 已更名為 Gemini，這是我們的新一代模型。

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Infrastructure is the backbone of modern care. Following the blueprint set by Manipal Hospitals, this challenge dives into the backend architecture that powers healthcare at scale. From automating CI/CD pipelines to securing containerized workloads on GKE, you will explore how cloud-native tools directly impact real-world outcomes—like faster prescriptions and safer transitions of care. Learn to architect for reliability, ensuring that when the demand spikes, your system doesn't just run; it performs.

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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!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 4 badge!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 3 badge!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 2 badge!

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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.

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Hey there! You're invited to game on with Google Skills Arcade Trivia for January Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 1 badge!

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Generative AI is quickly becoming a core part of modern cloud solutions. In this challenge, you’ll build applications using Gemini on Vertex AI for text embeddings, multimodal content generation, and text-to-image workflows, while also learning how to ingest data into BigQuery from Cloud Storage. You’ll then test your understanding through role-based Arcade quizzes designed for Workspace Administrators, Database Engineers, DevOps Engineers, and Digital Leaders—bringing together hands-on building and practical knowledge validation.

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Over 80% of modern applications rely on event-driven architectures or real-time messaging to stay responsive at scale. In challenge, you’ll work with Pub/Sub to build event-driven systems, deploy workloads on Google Kubernetes Engine, manage authentication and dynamic secrets with Vault, and explore language processing using Cloud APIs. You’ll also build Flutter applications and work with Cloud Spanner, gaining hands-on experience across messaging, security, data, and application development.

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Setting goals is a big part of New Year resolutions—but sustaining a healthy work-life balance is what truly makes them stick. This challenge helps you organize your inbox, manage schedules, collaborate smoothly, and track work efficiently using Google Workspace tools. Start the year with better planning, clearer communication, and workflows that support productivity without burnout.

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A new year brings a fresh opportunity to build consistency in how you learn and apply cloud skills. In this challenge, you’ll deploy applications using App Engine and Cloud Run Functions, work with Compute Engine instances, and manage data through Cloud Storage using both the console and CLI. You’ll also define fine-grained access with custom IAM roles, analyze logs, create alerts from logs-based metrics, and monitor workloads across multiple projects. Together, these labs help you begin the year by strengthening essential cloud operations skills and developing habits that support reliable, well-monitored applications.

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完成 使用 Firebase 開發無伺服器應用程式 技能徽章中階課程， 即可證明您具備下列技能：使用 Firebase 架構及建構無伺服器的網頁應用程式、 運用 Firestore 管理資料庫、使用 Cloud Build 自動部署內容， 以及將 Google 助理功能整合至應用程式。

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完成 運用 Cloud Run 開發無伺服器應用程式 技能徽章中階課程， 即可證明您具備下列技能：整合 Cloud Run 和 Cloud Storage 以管理資料、 使用 Cloud Run 和 Pub/Sub 架構可復原的非同步系統、 使用 Cloud Run 建構 REST API 閘道，以及在 Cloud Run 建構及部署服務。

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完成「管理 Google Cloud 中的 Kubernetes」技能徽章中階課程， 即可證明您具備下列技能：使用 kubectl 管理部署作業、 在 Google Kubernetes Engine (GKE) 監控應用程式與偵錯，以及運用技術持續推送軟體更新。

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完成在 Google Cloud 實作 CI/CD 管道技能徽章中階課程，即可獲得技能徽章。 您將透過本課程學習如何使用 Artifact Registry、Cloud Build 和 Cloud Deploy，並且操作 Google Cloud 控制台、Google Cloud CLI、Cloud Run 和 GKE。本課程會介紹如何建構持續整合 管道、儲存及保護構件、掃描安全漏洞、驗證 已核准的發布版本是否有效。此外，您還會實際操作，將應用程式 同時部署至 GKE 和 Cloud Run。

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完成「建構安全的 Google Cloud 網路」課程，即可獲得技能徽章。本課程將說明多項網路相關 資源，協助您在 Google Cloud 建構、調度資源和保護應用程式。

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Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 4 badge!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 3 badge!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 2! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 2 badge!

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Hey there! You're invited to game on with Google Skills Arcade Trivia for December Week 1! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the December Trivia Week 1 badge!

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Google Cloud Certifications provide a tangible way for you to demonstrate your skills to potential or current employers. These certifications incorporate performance-based questions, testing your hands-on expertise through practical tasks. Begin your journey towards becoming a Google Certified Professional with the help of the Arcade Cert Zone.

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Organizations today rely on secure data controls, resilient network design, and AI-driven insights to operate confidently at scale. In this challenge, you’ll manage Vault policies and tokens, validate SQL Server workloads, and visualize security alerts using Google SecOps. You’ll also establish VPC-to-VPC and hybrid connectivity with NCC and steer global traffic with Cloud DNS geolocation policies. On the AI side, you’ll improve speech recognition accuracy and extract, analyze, and translate text using Cloud ML and Natural Language tools. These labs show how modern cloud systems stay protected, connected, and intelligent in an ever-evolving environment.

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Google processes over 2 trillion data operations a day—and now you’ll tap into the skills behind that scale on your path to your next Winter Win. You’ll streamline collaboration with Google Workspace, prep insight-ready data for Looker, build secure networks, launch compute resources, and keep everything steady with smart monitoring. Then you’ll bring it all together by deploying a website, building an AppSheet app, and managing data across Google Cloud. By the time you’re through, you won’t just reach your next Winter Win—you’ll feel like you earned every bit of it.

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Intelligent systems today process everything from scanned invoices to massive data lakes, all while powering apps that users expect to work instantly. Handling that complexity calls for advanced AI, strong governance, and dependable cloud architecture. In this challenge, you’ll extract insights from documents with Document AI, organize and manage distributed data using Dataplex, and secure sensitive information with Cloud KMS. You’ll also deploy containerized apps on Kubernetes Engine, build real-time backends with Firebase, create no-code chat apps with AppSheet, and monitor live activity through Streamlit. These labs show how modern cloud solutions combine intelligence and architecture to stay efficient, secure, and ready for anything.

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Every day, millions of apps depend on fast data reads, stable networks, and reliable backend logic to keep users connected. Delivering that experience starts with strong development and foundational skills. In this challenge, you’ll level up through ACE App Dev labs, write to Firestore using Python and TypeScript, and build confidence with essential Linux commands. You’ll also strengthen your networking basics. These labs give you the core abilities every cloud developer needs—clean app logic, solid network understanding, and command-line fluency.

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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!

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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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完成「在 Cloud Storage 建立安全的資料湖泊」技能徽章入門課程，即可證明您具備下列技能： 保護及設定 Cloud Storage bucket、使用 Gemini 生成文字、管理 IAM 存取控管機制，以及建立 Knowledge Catalog 湖泊來治理資料。

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完成 在 Google Cloud 實作 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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完成「使用 Cloud Run functions 建構無伺服器應用程式」課程，即可獲得入門技能徽章。在這個課程，您將學會如何透過 Google Cloud 控制台和指令列，使用 Cloud Run functions。 技能徽章課程透過實作實驗室和挑戰評量，檢驗學員對於特定產品的實作知識。完成課程或直接進行挑戰實驗室， 即可取得徽章。徽章可證明您的專業能力、提升專業形象，開創更多職涯發展機會。前往個人資料頁面，追蹤您獲得的徽章。

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Cloud Storage、Cloud Functions 和 Cloud Pub/Sub 都是 Google Cloud Platform 服務， 可用於儲存、處理及管理資料。您可以整合運用這三種服務， 打造各式各樣的資料導向應用程式。您將在本次課程中 使用 Cloud Storage 儲存圖片、透過 Cloud Functions 處理圖片， 並利用 Cloud Pub/Sub 將圖片傳送至其他應用程式。

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完成「以串流方式將分析資料傳入 BigQuery」課程，即可獲得技能徽章。 在此課程中，您將綜合應用 Pub/Sub、Dataflow 和 BigQuery，並以串流方式傳送 資料進行分析。

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完成「使用 Google Data Cloud 共用資料」課程，即可獲得技能徽章。 在本課程中，您會透過 Google Cloud 資料共用合作夥伴， 使用專屬資料集進行數據分析， 獲得豐富的實務經驗。客戶訂閱這類資料後，即可在自家平台查詢， 並用自己的資料集補強。此外，也能使用圖表 工具，打造客戶專用的資訊主頁。

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完成「Google DeepMind：訓練小型語言模型」技能徽章進階課程，即可證明您具備下列技能： 提出實際的語言模型研究問題、建構簡單的分詞器、準備資料集來訓練 Transformer 語言模型，以及執行小型語言模型的訓練迴圈。 註冊免付費訂閱方案，即可免付費使用這個實驗室。每個月還能獲得 35 點免付費抵免額！

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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。

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完成使用 Document AI 大規模自動擷取資料課程，即可獲得入門級技能徽章。在本課程中，您將瞭解如何使用 Document AI 擷取、處理及提取資料。

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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。

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This video covers how you can leverage Notebook LM to "eat the frog" on your to-do list by automating complex tasks like summarizing legislation and mapping services, saving you hours of work.

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這部影片將說明如何運用 Gemini 消除繁瑣的手動資料輸入作業。瞭解如何拍攝資料相片或螢幕截圖 (來自 PDF、紙本或圖片)，並提示 Gemini 立即將資料轉換為結構化的 Google 試算表。瞭解這個簡單的訣竅，省下無數轉錄資料的時間，讓 Gemini 成為您的個人資料輸入助理。只要拍照、輸入提示，然後匯出即可！

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這部影片將說明如何運用 AI 找出策略中的弱點和隱藏假設。您將學到「找出漏洞」法，也就是透過 AI 提示詞，輕鬆對計畫進行壓力測試，找出漏洞並強化策略思維。

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This video will cover how to use NotebookLM to gather and analyze publicly available information, combine it with internal documents, and extract key competitive insights.

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這部影片說明如何在 Google Workspace 中，打造個人化 Gemini 搜尋結果。可瞭解如何使用「@」符號，將文件和研究論文直接納入提示，取得更符合需求的 AI 輸出內容。

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這部影片將說明如何使用 Gemini 重點摘要 Google Workspace 中的長篇文件，助您快速取得所需資訊並節省時間。您將瞭解如何使用 Gemini 摘要整份文件或所選文字，以及如何使用 雲端硬碟內建 Gemini 總結多個檔案。

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這部影片介紹提示工程的基本概念，協助您與 AI 有效互動。學習簡單的框架 (角色、任務、情境、格式)，撰寫清晰的提示詞，讓 Gemini in Google Workspace 更快提供更優質的結果。瞭解如何使用自然語言、具體說明需求，以及透過反覆調整來獲得最佳 AI 輔助。

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這部影片將說明如何運用 Gemini 版 Google 文件的進階 AI 功能，發想點子、草擬各種行銷內容，並與團隊順暢協作。

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This video covers how NotebookLM can revolutionize customer insight gathering from call or chat transcripts. You'll learn to upload PDF transcripts of hundreds of conversations (even multilingual ones!) and quickly extract key themes, trending topics, and actionable insights without listening for hours. Discover how to save findings, share notebooks, and even generate interactive podcast summaries of your data.

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這部影片說明如何建立專屬的 Gemini Gem，運用進階 AI 功能自動處理重複性工作，大幅提升工作效率。

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完成「在 Agent Platform 探索生成式 AI」技能徽章中階課程，即可證明自己具備下列技能： 可運用 Gemini API 生成文字、分析圖片和影片來強化內容創作能力，還能使用函式呼叫技巧。 本課程將帶您瞭解如何善用進階的 Gemini 技術、使用多模態內容生成功能，並提升 AI 專案的潛力。

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完成 使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件 技能徽章中階課程，即可證明您具備下列技能： 透過 Gemini 多模態功能，使用多模態提示從文字和影像資料擷取資訊、生成影片說明，以及擷取影片以外的額外資訊； 透過 Gemini 的多模態檢索增強生成 (RAG) 功能，為含有文字和圖片的文件建構中繼資料、取得所有相關文字分塊，以及顯示引用資料。

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完成 使用 Gemini 和 Streamlit 開發生成式 AI 應用程式 技能徽章中階課程，即可證明您具備下列技能： 生成文字、透過 Python SDK 和 Gemini API 呼叫函式，以及運用 Cloud Run 部署 Streamlit 應用程式。 您將瞭解如何以不同方式透過提示請 Gemini 生成文字、使用 Cloud Shell 測試及疊代 Streamlit 應用程式，隨後封裝成 Docker 容器並在 Cloud Run 中部署。

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完成「Gemini 和 Imagen 實務應用：建構 AI 應用程式」技能徽章入門課程，即可證明您具備下列技能：圖片辨識、自然語言處理、 使用 Google 強大的 Gemini 和 Imagen 模型生成圖片，以及在 Vertex AI 平台上部署應用程式。

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完成 在 Agent Platform 設計提示 技能徽章入門課程，即可證明您具備下列技能： 在 Agent Platform 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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