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Sarthak Singh

成为会员时间：2025

運用 BigQuery ML 建立機器學習模型 Earned Aug 29, 2025 EDT
為 Google Cloud 設定服務帳戶和 IAM 角色 Earned Aug 29, 2025 EDT
在 Compute Engine 實作負載平衡功能 Earned Aug 29, 2025 EDT
Cloud Speech API：3 種應用 Earned Aug 29, 2025 EDT
Create and Manage Cloud SQL for PostgreSQL Instances Earned Aug 28, 2025 EDT
強化 Gemini 模型功能 Earned Aug 28, 2025 EDT
Privileged Access with IAM Earned Aug 28, 2025 EDT
Create and Manage Bigtable Instances Earned Aug 28, 2025 EDT
Create and Manage Cloud Spanner Instances Earned Aug 28, 2025 EDT
Create and Manage AlloyDB Instances Earned Aug 28, 2025 EDT
Perform Predictive Data Analysis in BigQuery Earned Aug 27, 2025 EDT
Conversational AI on Vertex AI and Dialogflow CX Earned Aug 26, 2025 EDT
Modernize Infrastructure and Applications with Google Cloud Earned Aug 26, 2025 EDT
Scaling with Google Cloud Operations Earned Aug 26, 2025 EDT
Google Drive Earned Aug 26, 2025 EDT
AI Infrastructure: Introduction to AI Hypercomputer Earned Aug 26, 2025 EDT
Responsible AI for Digital Leaders with Google Cloud Earned Aug 26, 2025 EDT
Google Slides Earned Aug 26, 2025 EDT
大型語言模型簡介 Earned Aug 26, 2025 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則 Earned Aug 26, 2025 EDT
機器學習運作 (MLOps) 與 Vertex AI：模型評估 Earned Aug 26, 2025 EDT
生成式 AI：不只是聊天機器人 Earned Aug 26, 2025 EDT
Skills Boost Arcade Certification Zone August 2025 Earned Aug 26, 2025 EDT
Skills Boost Arcade Base Camp August 2025 Earned Aug 25, 2025 EDT
生成式 AI：瞭解基礎概念 Earned Aug 24, 2025 EDT
Exploring Data Transformation with Google Cloud Earned Aug 24, 2025 EDT
Digital Transformation with Google Cloud Earned Aug 24, 2025 EDT
生成式 AI 應用程式：徹底改變工作方式 Earned Aug 24, 2025 EDT
生成式 AI：掌握幕後技術與環境 Earned Aug 24, 2025 EDT
Google Calendar Earned Aug 24, 2025 EDT
Google Sheets Earned Aug 24, 2025 EDT
Google Meet Earned Aug 24, 2025 EDT
Trust and Security with Google Cloud Earned Aug 24, 2025 EDT
Innovating with Google Cloud Artificial Intelligence Earned Aug 24, 2025 EDT
生成式 AI 代理：實現組織轉型 Earned Aug 24, 2025 EDT
在 Vertex AI 使用 Gemini API 探索生成式 AI Earned Aug 24, 2025 EDT
Monitoring in Google Cloud Earned Aug 24, 2025 EDT
在 Google Cloud 使用 Terraform 建構基礎架構 Earned Aug 24, 2025 EDT
Discover and Protect Sensitive Data Across Your Ecosystem Earned Aug 24, 2025 EDT
在 Google 試算表使用函式、公式及圖表 Earned Aug 24, 2025 EDT
Build LookML Objects in Looker Earned Aug 23, 2025 EDT
開始使用 Google Workspace 工具 Earned Aug 23, 2025 EDT
Level 1: Application Design and Delivery Earned Aug 23, 2025 EDT
Level 2: Building with Cloud Tools Earned Aug 22, 2025 EDT
Skills Boost Arcade Trivia August 2025 Week 4 Earned Aug 20, 2025 EDT
Skills Boost Arcade Trivia August 2025 Week 3 Earned Aug 20, 2025 EDT
Future Ready Skills Earned Aug 19, 2025 EDT
Skills Boost Arcade Trivia August 2025 Week 2 Earned Aug 18, 2025 EDT
Skills Boost Arcade Trivia August 2025 Week 1 Earned Aug 16, 2025 EDT
Level 3: Terraform Essentials Earned Aug 15, 2025 EDT

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。 「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熟技能， 代表您已通過測驗，能在互動式實作環境中應用相關知識。完成 本課程及結業評量挑戰實驗室，即可取得技能徽章 並與他人分享。

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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 在 Compute Engine 實作負載平衡功能 技能徽章入門課程，即可證明您具備下列技能： 編寫 gcloud 指令和使用 Cloud Shell、在 Compute Engine 建立及部署虛擬機器， 以及設定網路和 HTTP 負載平衡器。 「技能徽章」是 Google Cloud 核發的 獨家數位徽章，用於肯定您在 Google Cloud 產品與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中應用相關 知識。完成這個課程及挑戰研究室 最終評量，即可取得技能徽章並與親友分享。

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完成「Cloud Speech API：3 種應用」課程，瞭解如何使用語音相關 API 工具合成及轉錄語音， 即可獲得入門級技能徽章。

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Complete the introductory Create and Manage Cloud SQL for PostgreSQL Instances skill badge to demonstrate skills in the following: migrating, configuring, and managing Cloud SQL for PostgreSQL instances and databases.

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完成強化 Gemini 模型功能技能徽章中階課程，即可證明自己具備下列技能：運用 Gemini 模型的進階功能 (包括生成及執行程式碼、建立基準、生成受控內容、建立合成資料等)，打造更強大且精密的 AI 應用程式。 「技能徽章」是 Google Cloud 核發的獨家數位徽章， 用於肯定您在 Google Cloud 產品與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中應用相關知識。完成 這個課程和結業評量挑戰實驗室之後，即可取得技能徽章 並與他人分享。

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Complete the intermediate Privileged Access with IAM skill badge to demonstrate skills in the following: custom roles using Identity and Access Management (IAM), the principle of least privilege, Just-in-Time (JIT) temporary elevated access, and security for web applications using Identity-Aware Proxy (IAP).

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Complete the introductory Create and Manage Bigtable Instances skill badge to demonstrate skills in the following: creating instances, designing schemas, querying data, and performing administrative tasks in Bigtable including monitoring performance and configuring node autoscaling and replication.

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Complete the introductory Create and Manage Cloud Spanner Instances skill badge to demonstrate skills in the following: creating and interacting with Cloud Spanner instances and databases; loading Cloud Spanner databases using various techniques; backing up Cloud Spanner databases; defining schemas and understanding query plans; and deploying a Modern Web App connected to a Cloud Spanner instance.

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Complete the introductory Create and Manage AlloyDB Instances skill badge to demonstrate skills in the following: performing core AlloyDB operations and tasks, migrating to AlloyDB from PostgreSQL, administering an AlloyDB database, and accelerating analytical queries using the AlloyDB Columnar Engine.

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Complete the intermediate Perform Predictive Data Analysis in BigQuery skill badge course to demonstrate skills in the following: creating datasets in BigQuery by importing CSV and JSON files; harnessing the power of BigQuery with sophisticated SQL analytical concepts, including using BigQuery ML to train an expected goals model on soccer event data and evaluate the impressiveness of World Cup goals.

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In this course you will learn how to use the new generative AI features in Dialogflow CX to create virtual agents that can have more natural and engaging conversations with customers. Discover how to deploy generative fallback responses to gracefully handle errors and omissions in customer conversations, deploy generators to increase intent coverage, and structure, ingest, and manage data in a data store. And explore how to deploy and maintain generative AI agents using your data, and deploy and maintain hybrid agents in combination with existing intent-based design paradigms.

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Many traditional enterprises use legacy systems and applications that can't stay up-to-date with modern customer expectations. Business leaders often have to choose between maintaining their aging IT systems or investing in new products and services. "Modernize Infrastructure and Applications with Google Cloud" explores these challenges and offers solutions to overcome them by using cloud technology. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Organizations of all sizes are embracing the power and flexibility of the cloud to transform how they operate. However, managing and scaling cloud resources effectively can be a complex task. Scaling with Google Cloud Operations explores the fundamental concepts of modern operations, reliability, and resilience in the cloud, and how Google Cloud can help support these efforts. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Google Drive is Google’s cloud-based file storage service. Google Drive lets you keep all your work in one place, view different file formats without the need for additional software, and access your files from any device. In this course, you will learn how to navigate your Google Drive. You will learn how to upload files and folders and how to work across file types. You will also learn how you can easily view, arrange, organize, modify, and remove files in Google Drive. Google Drive includes shared drives. You can use shared drives to store, search, and access files with a team. You will learn how to create a new shared drive, add and manage members, and manage the shared drive content. Google Workspace is synonymous with collaboration and sharing. You will explore the sharing options available to you in Google Drive, and you will learn about the various collaborator roles and permissions that can be assigned. You’ll also explore ways to ensure consistency and save time…

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Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.

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This course equips learners with the essential knowledge and practical tools to develop and implement artificial intelligence (AI) responsibly. Through an exploration of ethical considerations, best practices, and governance procedures, participants will gain an understanding of how to navigate the complex landscape of AI while upholding ethical standards and minimizing potential risks.

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With Google Slides, you can create and present professional presentations for sales, projects, training modules, and much more. Google Slides presentations are stored safely in the cloud. You build presentations right in your web browser—no special software is required. Even better, multiple people can work on your slides at the same time, you can see people’s changes as they make them, and every change is automatically saved. You will learn how to open Google Slides, create a blank presentation, and create a presentation from a template. You will explore themes, layout options, and how to add and format content, and speaker notes in your presentations. You will learn how to enhance your slides by adding tables, images, charts, and more. You will also learn how to use slide transitions and object animations in your presentation for visual effects. We will discuss how to organize slides and explore some of the options, including duplicating and ordering your slides, importi…

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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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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。

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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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「生成式 AI：不只是聊天機器人」是 Generative AI Leader 學習路徑的第一門課程,沒有任何修課條件。本課程將帶您超越基本知識,進一步瞭解聊天機器人,探索如何在組織中充分發揮生成式 AI 的潛力。您將瞭解基礎模型和提示工程等概念,掌握善用生成式AI 的關鍵。本課程也會帶您瞭解擬定生成式 AI 策略時的多種重要考量,協助您為組織擬定出成功的策略。

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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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「生成式 AI: 瞭解基礎概念」是 Generative AI Leader 學習路徑的第二門課程。在本課程中,您將瞭解 AI、機器學習和生成式 AI 的差異,以及各種資料類型如何協助生成式 AI 解決業務難題,進而掌握生成式 AI 的基礎概念。您還能深入瞭解 Google Cloud 應對基礎 模型限制的策略,以及開發、部署安全且負責任的 AI 技術時面臨的主要挑戰。

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Cloud technology can bring great value to an organization, and combining the power of cloud technology with data has the potential to unlock even more value and create new customer experiences. “Exploring Data Transformation with Google Cloud” explores the value data can bring to an organization and ways Google Cloud can make data useful and accessible. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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There's much excitement about cloud technology and digital transformation, but often many unanswered questions. For example: What is cloud technology? What does digital transformation mean? How can cloud technology help your organization? Where do you even begin? If you've asked yourself any of these questions, you're in the right place. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey. If you want to learn about cloud technology so you can excel in your role and help build the future of your business, then this introductory course on digital transformation is for you. This course is part of the Cloud Digital Leader learning path.

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「生成式 AI 應用程式：徹底改變工作方式」是 Generative AI Leader 學習路徑的第四門課程。本課程將介紹 Google 的生成式 AI 應用程式,例如 Gemini for Workspace 和NotebookLM,也會引導您瞭解各種概念,像是建立基準、檢索增強生成、建構有效的提示詞,以及打造自動化工作流程等。

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「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。

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With Google Calendar, you can quickly schedule meetings and events and create tasks, so you always know what’s next. Google Calendar is designed for teams, so it’s easy to share your schedule with others and create multiple calendars that you and your team can use together. In this course, you’ll learn how to create and manage Google Calendar events. You will learn how to update an existing event, delete and restore events, and search your calendar. You will understand when to apply different event types such as tasks and appointment schedules. You will explore the Google Calendar settings that are available for you to customize Google Calendar to suit your way of working. During the course you will learn how to create additional calendars, share your calendars with others, and access other calendars in your organization.

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In this course we will introduce you to Google Sheets, Google’s cloud-based spreadsheet software, included with Google Workspace. With Google Sheets, you can create and edit spreadsheets directly in your web browser—no special software is required. Multiple people can work simultaneously, you can see people’s changes as they make them, and every change is saved automatically. You will learn how to open Google Sheets, create a blank spreadsheet, and create a spreadsheet from a template. You will add, import, sort, filter and format your data using Google Sheets and learn how to work across different file types. Formulas and functions allow you to make quick calculations and better use your data. We will look at creating a basic formula, using functions, and referencing data. You will also learn how to add a chart to your spreadsheet. Google Sheets spreadsheets are easy to share. We will look at the different ways you can share with others. We will also discuss how to track changes…

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In this course, we introduce you to Google Meet, Google’s video conference software included with Google Workspace. You learn how to create and manage video conference meetings using Google Meet. You explore different ways to open Google Meet and add people to a video conference. You also learn how to join meetings from different sources like calendar events or meeting links. We discuss how Google Meet can help you better communicate, exchange ideas, and share resources with your team wherever they are. You learn how to customize the Google Meet environment to fit your needs and how to effectively use chat messages during a video conference. You also explore different ways to share resources, such as by using calendar invites or attachments. You learn about using host controls in Google Meet to manage participants and utilize interactive moderation features. You also learn how to record and live stream video conferences.

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As organizations move their data and applications to the cloud, they must address new security challenges. The Trust and Security with Google Cloud course explores the basics of cloud security, the value of Google Cloud's multilayered approach to infrastructure security, and how Google earns and maintains customer trust in the cloud. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. “Innovating with Google Cloud Artificial Intelligence” explores how organizations can use AI and ML to transform their business processes. Part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.

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「生成式 AI 代理：實現組織轉型」是 Generative AI Leader 學習路徑的第五門課,也是最後一門。本課程將探討組織如何運用自訂生成式 AI 代理,解決特定的業務難題。您將動手練習建構基本的生成式 AI 代理,同時熟悉這類代理的各種元件,例如模型、推論迴圈和工具。

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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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Complete the introductory Monitoring in Google Cloud skill badge course to demonstrate skills in the following: using Cloud Monitoring tools to monitor resources on Google Cloud.

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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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Complete the intermediate Discover and Protect Sensitive Data Across Your Ecosystem skill badge to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention (DLP) API) to discover, inspect, redact, and de-identify sensitive data across your Google Cloud ecosystem including Cloud Storage files, BigQuery data, and Gen AI model responses.

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完成 在 Google 試算表使用函式、 公式及圖表 任務，即可獲得技能徽章。這項中級任務說明如何運用函式分析資料， 並以圖表呈現。您會學到如何搜尋、 驗證、呈現資料，以及如何設定資料的格式。「技能徽章」是 Google Cloud 核發的 獨家數位徽章，用於肯定您對於 Google Cloud 產品與服務的精通程度。 獲得技能徽章代表您已通過測驗，能在互動式實作環境 應用相關知識。完成技能徽章任務和結業評量挑戰實驗室之後， 即可取得數位徽章並與他人分享。

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Complete the introductory Build LookML Objects in Looker skill badge course to demonstrate skills in the following: building new dimensions and measures, views, and derived tables; setting measure filters and types based on requirements; updating dimensions and measures; building and refining Explores; joining views to existing Explores; and deciding which LookML objects to create based on business requirements.

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完成「開始使用 Google Workspace 工具」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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Over 90% of enterprises now rely on APIs to accelerate innovation and deliver intelligent digital experiences. In this lab challenge, you'll build and deploy intelligent apps using Flutter, Java, and Kubernetes. Integrate speech and image recognition with Cloud ML APIs, streamline delivery with Jenkins on GKE, and manage access securely with Vault. You'll also automate infrastructure with Terraform and steer traffic using Cloud DNS. A hands-on path to smarter, scalable cloud solutions, and an exclusive Google Cloud Credential.

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Get hands-on with building apps using Flutter, Dart, and AppSheet, and automate tasks with Document AI and Python. Learn to validate infrastructure with Terraform, monitor performance using Prometheus, and process data with Dataproc. You’ll also explore enterprise tools like Media CDN, Neo4j, and SAP integration while earning an exclusive Google Cloud Credential!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for August 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 August Trivia Week 4 badge!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for August 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 August Trivia Week 3 badge!

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Cloud roles are evolving fast—and staying future-ready means knowing more than just code. According to industry reports, over 70% of cloud professionals now work across app development, data engineering, and network management. This challenge is designed to equip you with skills across all three. You'll build dynamic apps with Flutter and Node.js, work with modern data tools like Firestore, LookML, and Cloud SQL, and strengthen your networking fundamentals with Cloud NAT, HA-VPN, and Private Google Access. There’s even a hands-on intro to machine learning with TensorFlow. These are the skills that don’t just meet today’s demands—they prepare you for what’s next!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for August 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 August Trivia Week 2 badge!

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Hey there! You're invited to game on with Skills Boost Arcade Trivia for August 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 August Trivia Week 1 badge!

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Used by over 70% of DevOps teams globally, Terraform has become the go-to tool for provisioning and managing infrastructure as code. In this hands-on challenge, you'll use Terraform to automate the setup of Google Cloud resources—Firestore, Compute Engine, Cloud Storage, VPCs, and more. You'll also manage secure configurations with Service Accounts, Firewall Rules, and Secret Manager. Build a strong foundation for scalable, repeatable deployments and earn an exclusive Google Cloud Credential!.

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