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Paresh Patil
Member since 2019
Diamond League
5933 points
使用 Document AI 大規模自動擷取資料
Earned Dec 24, 2025 EST
在 Google Cloud 為機器學習 API 準備資料
Earned Dec 24, 2025 EST
在 Google Cloud 儲存、處理與管理資料 - 指令列
Earned Dec 24, 2025 EST
以串流方式將分析資料傳入 BigQuery
Earned Dec 24, 2025 EST
使用 Google Data Cloud 共用資料
Earned Dec 24, 2025 EST
管理 Google Cloud 中的 Kubernetes
Earned Dec 24, 2025 EST
在 Google Cloud 實作 CI/CD 管道
Earned Dec 24, 2025 EST
[DEPRECATED] 使用 Gemini：DevOps 工程師
Earned Sep 2, 2025 EDT
Learn to Earn Cloud Security Challenge: Level 1
Earned Jan 22, 2022 EST
Learn to Earn Cloud Security Challenge: Level 3
Earned Jan 18, 2022 EST
Learn to Earn Cloud Security Challenge: Level 2
Earned Jan 16, 2022 EST
Learn to Earn Cloud Challenge: Essentials
Earned Sep 16, 2021 EDT
雲端工程
Earned Apr 4, 2021 EDT
透過 Google Cloud Observability 監控及記錄系統狀態
Earned Nov 16, 2020 EST
[DEPRECATED] Build Interactive Apps with Google Assistant
Earned Nov 15, 2020 EST
DEPRECATED BigQuery for Marketing Analysts
Earned Sep 16, 2019 EDT
DEPRECATED BigQuery for Data Warehousing
Earned Sep 15, 2019 EDT
Google 開發人員必備知識
Earned Sep 15, 2019 EDT
Intro to ML: Image Processing
Earned Sep 15, 2019 EDT
DEPRECATED Websites and Web Applications
Earned Sep 15, 2019 EDT
DEPRECATED BigQuery Basics for Data Analysts
Earned Sep 12, 2019 EDT
基本概念：資料、機器學習和 AI
Earned Sep 4, 2019 EDT
Google Workspace 必備知識
Earned Sep 3, 2019 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned Sep 3, 2019 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network
Earned Sep 3, 2019 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant
Earned Sep 1, 2019 EDT
Google Cloud 必備知識
Earned Aug 31, 2019 EDT
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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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「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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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助工程師透過 Google Cloud 管理基礎架構。您將學到如何透過提示讓 Gemini 尋找和瞭解應用程式記錄檔、建立 GKE 叢集，以及研究如何打造建構環境。在實作研究室中，您也會瞭解 Gemini 如何改良開發運作的工作流程。
Duet AI 已更名為 Gemini，是我們新一代的模型。
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These labs help you get started with cloud security basics. At the end of each lab, you'll have hands-on experience with securing your cloud. Complete this game to earn the Level 1 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs will challenge you to explore advanced cloud security scenarios. It’s OK to take a lab more than once to achieve a great score. Complete this game to earn the Level 3 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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These labs will give you a deeper understanding of security features in the cloud. These labs are a little more challenging. It’s OK to take a lab more than once to achieve a great score. Complete this game to earn the Level 2 game badge, and you'll be one step closer to completing the challenge. Race the clock to increase your score and watch your name rise on the leaderboard!
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Welcome to the Learn To Earn Cloud Challenge! These eight labs give you a quick hands-on introduction to eight different GCP tools and services. At the end of each lab, you'll have another skill to add to your list. Complete this game to earn the Essentials game badge, and you'll be one step closer to collecting all four Learn to Earn Cloud Challenge badges (see "what's next" below for more information). Race the clock to increase your score and watch your name rise on the leaderboard. Good luck!
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本入門課程有別於其他課程。 透過這些實驗室，IT 專業人員將有機會實際練習， 熟悉出現在 Google Cloud 助理雲端工程師認證中的主題和服務。本課程包含多個專門的實驗室，從 IAM、網路建立 到 Kubernetes Engine 部署作業， 可全面驗收您的 Google Cloud 知識。請注意，雖然進行這些 實驗室可提升您的技能和能力，但仍建議同時詳閱 測驗指南和其他可用的準備資源。
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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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Earn a skill badge by completing the Build Interactive Apps with Google Assistant quest, where you will learn how to build Google Assistant applications, including how to: create an Actions project, integrate Dialogflow with an Actions project, test your application with Actions simulator, build an Assistant application with flash cards template, integrate customer MP3 files with your Assistant application, add Cloud Translation API to your Assistant application, and use APIs and integrate them into your applications. 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 the skill badge quest, and final assessment challenge lab, to receive a digital badge that you can share with your network.
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Want to turn your marketing data into insights and build dashboards? Bring all of your data into one place for large-scale analysis and model building. Get repeatable, scalable, and valuable insights into your data by learning how to query it and using BigQuery. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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Looking to build or optimize your data warehouse? Learn best practices to Extract, Transform, and Load your data into Google Cloud with BigQuery. In this series of interactive labs you will create and optimize your own data warehouse using a variety of large-scale BigQuery public datasets. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
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這堂入門課程將說明應用程式開發人員如何運用 Google Cloud 生態系統，建構安全、可擴充的智慧雲端原生應用程式。您將瞭解如何不設定基礎架構就直接開發及擴充應用程式、 執行資料分析、從資料中取得洞察，以及使用預先訓練的機器學習 API 進行開發，即使您不是機器學習專家，也能充分運用技術。您也將體驗各種 Google 服務與 API 之間的完美整合，打造智慧型應用程式。
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Using large scale computing power to recognize patterns and "read" images is one of the foundational technologies in AI, from self-driving cars to facial recognition. The Google Cloud Platform provides world class speed and accuracy via systems that can utilized by simply calling APIs. With these and a host of other APIs, GCP has a tool for just about any machine learning job. In this introductory quest, you will get hands-on practice with machine learning as it applies to image processing by taking labs that will enable you to label images, detect faces and landmarks, as well as extract, analyze, and translate text from within images.
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When it comes to hosting websites and web applications, you want a framework that’s robust, fast, and secure. By choosing the Google Cloud Platform, you will have all of those needs covered. In this fundamental-level quest, you will get hands-on practice with GCPs key infrastructure and computing services for the web. From deploying your first web app, to integrating Cloud SQL with Ruby on Rails, to mapping the NYC subway system on App Engine, you will learn all the skills needed to harness GCPs web hosting power.
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Want to scale your data analysis efforts without managing database hardware? Learn the best practices for querying and getting insights from your data warehouse with this interactive series of BigQuery labs. BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
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大數據、機器學習和人工智慧 (AI) 是時下熱門的 電腦相關話題，但這些領域相當專業，就算想要入門 也難以取得教材或資料。幸好，Google Cloud 提供了此領域的多種服務，而且容易使用。 參加這堂入門課程，您就能踏出第一步， 開始學習運用 BigQuery、Cloud Speech API 以及 Video Intelligence 等工具。
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Workspace 是 Google 的協作應用程式 平台，由 Google Cloud 提供。在這堂入門課程中，您將 從使用者角度實作練習 Workspace 的核心應用程式。雖然 Workspace 包含的應用程式和工具元件遠比本課程介紹的還要多， 您將體驗的是主要應用程式，包括 Gmail、日曆、試算表以及 其他幾項。每個實驗室功能需要 10 至 15 分鐘來完成，但您也可以視需要花更多時間 自行探索應用程式。
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In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.
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Networking is a principle theme of cloud computing. It’s the underlying structure of Google Cloud, and it’s what connects all your resources and services to one another. This course will cover essential Google Cloud networking services and will give you hands-on practice with specialized tools for developing mature networks. From learning the ins-and-outs of VPCs, to creating enterprise-grade load balancers, Automate Deployment and Manage Traffic on a Google Cloud Network will give you the practical experience needed so you can start building robust networks right away.
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With Google Assistant part of over a billion consumer devices, this quest teaches you how to build practical Google Assistant applications integrated with Google Cloud services via APIs. Example apps will use the Dialogflow conversational suite and the Actions and Cloud Functions frameworks. You will build 5 different applications that explore useful and fun tools you can extend on your own. No hardware required! These labs use the cloud-based Google Assistant simulator environment for developing and testing, but if you do have your own device, such as a Google Home or a Google Hub, additional instructions are provided on how to deploy your apps to your own hardware.
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在這堂入門課程，您將實際練習使用 Google Cloud 的基礎工具和服務。本課程包含可選擇觀賞的影片， 針對實驗室涵蓋的概念提供更多背景資訊，協助您複習。「Google Cloud 必備知識」 是適合 Google Cloud 學員的第一堂課， 即使您尚未學習或不熟悉雲端知識， 也能從這堂課獲得實務經驗，並應用於第一項 Google Cloud 專案。不管是撰寫 Cloud Shell 指令 和部署第一部虛擬機器，還是在 Kubernetes Engine 或透過負載平衡執行應用程式， 「Google Cloud 必備知識」都是認識平台基本功能的最佳入門資源。
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