使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Mar 9, 2023 EST
設定 Google Cloud 網路
Earned Mar 6, 2023 EST
建立 Google Cloud 網路
Earned Dec 3, 2022 EST
運用 BigQuery ML 建立機器學習模型
Earned Nov 28, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 22, 2022 EST
為 Looker 資訊主頁和報表準備資料
Earned Nov 12, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Nov 7, 2022 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Nov 3, 2022 EDT
在 Google Cloud 設定應用程式開發環境
Earned Oct 28, 2022 EDT
Google Cloud 必備知識
Earned Oct 9, 2022 EDT
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production.
Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.
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Learn how to use NotebookLM to create a personalized study guide for the Professional Machine Learning Engineer certification exam (PMLE). You'll review NotebookLM features, create a notebook, and use the study guide to practice for a certification exam.
完成「在 Vertex AI 使用 Gemini API 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 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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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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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
The course begins with a discussion about data: how to improve data quality and perform exploratory data analysis. We describe Vertex AI AutoML and how to build, train, and deploy an ML model without writing a single line of code. You will understand the benefits of Big Query ML. We then discuss how to optimize a machine learning (ML) model and how generalization and sampling can help assess the quality of ML models for custom training.
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本課程介紹 Google Cloud 的 AI 和機器學習 (ML) 功能，著重說明如何開發生成式和預測式 AI 專案。我們也會探討「從資料到 AI」整個生命週期都適用的技術、產品和工具，並透過互動式練習，協助資料科學家、AI 開發人員和機器學習工程師精進專業知識。
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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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Earn a skill badge by completing the Build Custom Processors with Document AI course. You learn how to extract data and classify documents by creating custom ML models specific to your business needs. This course teaches the foundation skills of building your own processors, working with optical character recognition, form parsing, processor creation, and uptraining the DocumentAI model.
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 透過 Vertex AI 建構及部署機器學習解決方案 課程，即可瞭解如何使用 Google Cloud 的 Vertex AI 平台、AutoML 和自訂訓練服務， 訓練、評估、調整、解釋及部署機器學習模型。 這個技能徽章課程適合專業數據資料學家和機器學習 工程師，完成即可取得中階技能徽章。技能 徽章是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品和服務方面的精通程度， 代表您已通過測驗，能在互動式實作環境應用相關知識。完成這個技能徽章課程 和結業評量挑戰實驗室，就能獲得數位徽章， 並與親友分享。
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Earn a skill badge by completing the Detect Manufacturing Defects using Visual Inspection AI course, where you learn how to use Visual Inspection AI to deploy a solution artifact and test that it can successfully identify defects in a manufacturing process.
完成「Introduction to Generative AI」、「Introduction to Large Language Models」和「Introduction to Responsible AI」課程，即可獲得技能徽章。通過最終測驗，就能展現您對生成式 AI 基本概念的掌握程度。
「技能徽章」是 Google Cloud 核發的數位徽章，用於表彰您對 Google Cloud 產品和服務的相關知識。您可以將技能徽章公布在社群媒體的個人資料中，向其他人分享您的成果。
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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。
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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「開始使用 Looker」技能徽章課程，即可獲得技能徽章， 您將從中瞭解如何使用 Looker Studio 和 Looker 分析、呈現及整理資料。
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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完成部署與管理 Apigee X技能徽章課程，即可獲得技能徽章。 您將瞭解 Apigee X 架構、如何在 Google Cloud 專案佈建 Apigee X 組織、 如何透過 Apigee API 和 UI 管理 Apigee X，以及如何運用 Cloud Armor 和 Apigee 的威脅防護政策 來保護您的 API。
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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。
完成 建構適用於 AWS 專家的 Google Cloud 基礎架構 課程即可獲得技能徽章。在這個課程，您將學會如何設定 IAM 權限、 使用 Kubernetes 自動調度管理工作負載、透過 Compute Engine 託管網頁應用程式， 以及設定負載平衡機制。
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Earn a skill badge by completing the Build Google Cloud Infrastructure for Azure Professionals course, where you learn how to configure IAM permission, orchestrate workloads using Kubernetes, host a web application using compute engine, and configure load balancing. 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, and the final assessment challenge lab, to receive a digital badge that you can share with your network.
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 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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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。
Dialogue Design
Earned Apr 20, 2026 EDT
Works Meet Play: Skills Spawn
Earned Apr 16, 2026 EDT
Arcade Trail: Automation and Analytics
Earned Mar 31, 2026 EDT
Arcade Adventure: Security, Data, and Cloud Operations
Earned Mar 31, 2026 EDT
Arcade Base Camp March 2026
Earned Mar 30, 2026 EDT
Arcade Voyage: AI and Cloud Deployment
Earned Mar 29, 2026 EDT
Arcade March 2026 Sprint 4
Earned Mar 28, 2026 EDT
Work Meets Play: Metrics in Motion
Earned Mar 27, 2026 EDT
Arcade March 2026 Sprint 3
Earned Mar 27, 2026 EDT
Arcade March 2026 Sprint 2
Earned Mar 24, 2026 EDT
Arcade March 2026 Sprint 1
Earned Mar 14, 2026 EDT
Holi-istic Infrastructures
Earned Mar 10, 2026 EDT
Work Meets Play: Journeys Made Easy
Earned Mar 1, 2026 EST
Arcade Certification Zone February 2026
Earned Feb 28, 2026 EST
Arcade Base Camp February 2026
Earned Feb 28, 2026 EST
Skills At The Pitch
Earned Feb 26, 2026 EST
From Foundations To Wonders
Earned Feb 24, 2026 EST
Arcade February 2026 Sprint 4
Earned Feb 24, 2026 EST
Arcade Trail: Application Development
Earned Feb 22, 2026 EST
Arcade February 2026 Sprint 3
Earned Feb 22, 2026 EST
Arcade February 2026 Sprint 2
Earned Feb 7, 2026 EST
Arcade February 2026 Sprint 1
Earned Feb 4, 2026 EST
Work Meets Play: A Cloud That Cares
Earned Feb 1, 2026 EST
Google Skills Arcade Trivia January 2026 Week 2
Earned Jan 31, 2026 EST
Google Skills Arcade Trivia January 2026 Week 1
Earned Jan 31, 2026 EST
Level 3: Applied Generative AI
Earned Jan 31, 2026 EST
Level 2: Event-Driven Systems
Earned Jan 30, 2026 EST
Level 1: Compute, Storage and Monitoring
Earned Jan 30, 2026 EST
機器學習運作 (MLOps) 與 Vertex AI：模型評估
Earned Jan 29, 2026 EST
生成式 AI 適用的機器學習運作 (MLOps)
Earned Jan 17, 2026 EST
Machine Learning Operations (MLOps) with Vertex AI: Manage Features
Earned Jan 16, 2026 EST
Build a Certification Study Guide: PMLE
Earned Nov 19, 2025 EST
在 Cloud Storage 建立串流資料湖泊
Earned Nov 16, 2025 EST
使用 API Gateway 部署及保護無伺服器 API
Earned Nov 15, 2025 EST
使用 Cloud Run 函式建構無伺服器應用程式
Earned Nov 11, 2025 EST
使用 Gemini 和 Streamlit 開發生成式 AI 應用程式
Earned Nov 10, 2025 EST
使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件
Earned Nov 8, 2025 EST
在 Vertex AI 使用 Gemini API 探索生成式 AI
Earned Nov 8, 2025 EST
在 Vertex AI 設計提示
Earned Nov 6, 2025 EST
Gemini 和 Imagen 實務應用：建構 AI 應用程式
Earned Nov 4, 2025 EST
Machine Learning Operations (MLOps): Getting Started
Earned Oct 27, 2025 EDT
使用 Apps Script 及 AppSheet 進行開發作業
Earned Oct 24, 2025 EDT
使用 Google Cloud Speech API
Earned Oct 21, 2025 EDT
實現事件驅動的即時訊息與自動化工作流
Earned Oct 20, 2025 EDT
管理 Google Cloud 中的 Kubernetes
Earned Oct 19, 2025 EDT
開始使用 Eventarc
Earned Oct 31, 2024 EDT
實現 Cloud Storage 和數據保護解決方案
Earned Oct 21, 2024 EDT
以串流方式將分析資料傳入 BigQuery
Earned Oct 9, 2024 EDT
在 Google Cloud 儲存、處理與管理資料 - 指令列
Earned Oct 7, 2024 EDT
App Engine：3 種應用
Earned Oct 7, 2024 EDT
在連結試算表中分析 BigQuery 資料
Earned Oct 4, 2024 EDT
在 Google Cloud 儲存、處理與管理資料 - 控制台
Earned Oct 2, 2024 EDT
開始使用 Dataplex
Earned Sep 30, 2024 EDT
Launching into Machine Learning
Earned Nov 21, 2023 EST
Google Cloud 的 AI 和機器學習服務簡介
Earned Nov 10, 2023 EST
建構安全的 Google Cloud 網路
Earned Nov 1, 2023 EDT
Build Custom Processors with Document AI [Deprecated]
Earned Nov 1, 2023 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Nov 1, 2023 EDT
在 Google Cloud 使用 TensorFlow 分類圖像
Earned Nov 1, 2023 EDT
使用 Natural Language API 分析情緒
Earned Oct 28, 2023 EDT
使用預訓練 API 實現語音和語言解決方案
Earned Oct 28, 2023 EDT
Google Cloud Compute 基本操作
Earned Oct 27, 2023 EDT
使用 Google API 分析語音和語言
Earned Oct 27, 2023 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned Oct 27, 2023 EDT
DEPRECATED Detect Manufacturing Defects Using Visual Inspection AI
Earned Oct 21, 2023 EDT
建立及管理 AlloyDB 執行個體
Earned Oct 17, 2023 EDT
Generative AI Fundamentals - 繁體中文
Earned Oct 14, 2023 EDT
負責任的 AI 技術簡介
Earned Oct 14, 2023 EDT
大型語言模型簡介
Earned Oct 14, 2023 EDT
生成式 AI 簡介
Earned Oct 14, 2023 EDT
在 Google Cloud 使用機器學習 API
Earned Oct 13, 2023 EDT
開始使用 Looker
Earned Oct 5, 2023 EDT
建立及管理 Bigtable 執行個體
Earned Oct 4, 2023 EDT
使用 Document AI 大規模自動擷取資料
Earned Jul 8, 2023 EDT
使用 Chrome Enterprise Premium 安全功能保護雲端流量
Earned Jul 8, 2023 EDT
Google Workspace for Education
Earned Jul 8, 2023 EDT
部署與管理 Apigee X
Earned Jul 8, 2023 EDT
在 Google Cloud 實作 CI/CD 管道
Earned Jul 3, 2023 EDT
雲端架構：設計、實作與管理
Earned Jun 26, 2023 EDT
建構適用於 AWS 專家的 Google Cloud 基礎架構
Earned Jun 25, 2023 EDT
DEPRECATED Build Google Cloud Infrastructure for Azure Professionals
Earned Jun 22, 2023 EDT
在 Google Cloud 實作 DevOps 工作流程
Earned Jun 1, 2023 EDT
在 Google 試算表使用函式、公式及圖表
Earned Apr 2, 2023 EDT
實現雲端協作與生產力工作流
Earned Apr 1, 2023 EDT
Looker 資料模型管理
Earned Apr 1, 2023 EDT
建立及管理 Cloud Spanner 執行個體
Earned Apr 1, 2023 EDT
在 Google Cloud 部署 Kubernetes 應用程式
Earned Apr 1, 2023 EDT
使用 Firebase 開發無伺服器應用程式
Earned Apr 1, 2023 EDT
在 Google Cloud 使用 Terraform 建構基礎架構
Earned Mar 31, 2023 EDT
在 Looker 建構 LookML 物件
Earned Mar 31, 2023 EDT
使用 BigQuery ML 為預測模型進行資料工程
Earned Mar 29, 2023 EDT
在 BigQuery 執行預測資料分析
Earned Mar 27, 2023 EDT
透過 BigQuery 建構資料倉儲
Earned Mar 25, 2023 EDT
建立及管理 PostgreSQL 適用的 Cloud SQL 執行個體
Earned Mar 15, 2023 EDT
使用 Google Data Cloud 共用資料
Earned Mar 11, 2023 EST
使用資料庫遷移服務將 MySQL 資料遷移至 Cloud SQL
Earned Mar 9, 2023 EST
設定 Google Cloud 網路
Earned Mar 6, 2023 EST
建立 Google Cloud 網路
Earned Dec 3, 2022 EST
運用 BigQuery ML 建立機器學習模型
Earned Nov 28, 2022 EST
從 BigQuery 資料取得深入分析結果
Earned Nov 22, 2022 EST
為 Looker 資訊主頁和報表準備資料
Earned Nov 12, 2022 EST
在 Compute Engine 導入 Cloud Load Balancing
Earned Nov 7, 2022 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Nov 3, 2022 EDT
在 Google Cloud 設定應用程式開發環境
Earned Oct 28, 2022 EDT
Google Cloud 必備知識
Earned Oct 9, 2022 EDT