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ARGHYADIP ROY

成为会员时间:2022

钻石联赛

34830 积分
在 Vertex AI 使用 Gemini API 探索生成式 AI Earned Jun 5, 2025 EDT
使用 Gemini 和 Streamlit 開發生成式 AI 應用程式 Earned Jun 5, 2025 EDT
使用 Gemini 多模態功能和多模態 RAG 檢查複合型文件 Earned Jun 5, 2025 EDT
Gemini 和 Imagen 實務應用:建構 AI 應用程式 Earned May 8, 2025 EDT
在 Vertex AI 設計提示 Earned May 8, 2025 EDT
Vertex AI Studio 簡介 Earned Dec 3, 2023 EST
建立圖像說明生成模型 Earned Dec 3, 2023 EST
Transformer 和 BERT 模型 Earned Dec 3, 2023 EST
注意力機制 Earned Dec 3, 2023 EST
編碼器-解碼器架構 Earned Dec 3, 2023 EST
Generative AI Fundamentals - 繁體中文 Earned Dec 1, 2023 EST
圖像生成簡介 Earned Dec 1, 2023 EST
負責任的 AI 技術簡介 Earned Nov 28, 2023 EST
大型語言模型簡介 Earned Nov 28, 2023 EST
生成式 AI 簡介 Earned Nov 19, 2023 EST
監控及管理 Google Cloud 資源 Earned Apr 19, 2023 EDT
Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Earned Mar 16, 2023 EDT
Google Cloud Computing Foundations: Networking and Security in Google Cloud Earned Mar 10, 2023 EST
Google Cloud Computing Foundations: Cloud Computing Fundamentals Earned Mar 10, 2023 EST
Google Cloud Computing Foundations: Infrastructure in Google Cloud Earned Mar 10, 2023 EST
MongoDB Atlas on Google Cloud Earned Mar 9, 2023 EST
Qwiklabs Trivia January 2023 Earned Jan 28, 2023 EST
New Year, New Skills: Blue Challenge (A) Earned Jan 27, 2023 EST
New Year, New Skills: Red Challenge (A) Earned Jan 18, 2023 EST
New Year, New Skills: Green Challenge (A) Earned Jan 5, 2023 EST
Qwiklabs Trivia December 2022 Earned Dec 17, 2022 EST
Sports Data Challenge Earned Dec 17, 2022 EST
No code november 2022 Earned Nov 5, 2022 EDT
Diwali Game 4: Firecrackers and Firebase Earned Oct 27, 2022 EDT
Diwali Game 3: Flowers and Flutter Earned Oct 25, 2022 EDT
Diwali Game 2: Lanterns and Looker Earned Oct 24, 2022 EDT
Diwali Game 1: Rangoli and Google Sheets Earned Oct 23, 2022 EDT
DEPRECATED BigQuery for Marketing Analysts Earned Jul 9, 2022 EDT
建構安全的 Google Cloud 網路 Earned Jun 19, 2022 EDT
運用 Cloud Run 開發無伺服器應用程式 Earned Jun 18, 2022 EDT
使用 Firebase 開發無伺服器應用程式 Earned Jun 18, 2022 EDT
運用 BigQuery ML 建立機器學習模型 Earned Jun 18, 2022 EDT
從 BigQuery 資料取得深入分析結果 Earned Jun 18, 2022 EDT
Build Apps & Websites with Firebase Earned Jun 16, 2022 EDT
Google Cloud Run Serverless Workshop Earned Jun 15, 2022 EDT
Website on Google Cloud Earned Jun 14, 2022 EDT
DEPRECATED IoT in the Google Cloud Earned Jun 13, 2022 EDT
Workspace: Add-ons Earned Jun 13, 2022 EDT
[DEPRECATED] OK Google: Build Interactive Apps with Google Assistant Earned Jun 9, 2022 EDT
Google Developer Essentials Earned Jun 9, 2022 EDT
DEPRECATED Applied Data: Blockchain Earned Jun 9, 2022 EDT
NCAA® March Madness®: Bracketology with Google Cloud Earned Jun 7, 2022 EDT
使用 BigQuery 進行機器學習 Earned Jun 5, 2022 EDT
DEPRECATED BigQuery Basics for Data Analysts Earned Jun 5, 2022 EDT
建立 Google Cloud 網路 Earned May 20, 2022 EDT
在 Google Cloud 實作 DevOps 工作流程 Earned May 20, 2022 EDT
透過 Google Cloud Observability 監控及記錄系統狀態 Earned May 20, 2022 EDT
雲端工程 Earned May 20, 2022 EDT
DevOps Essentials Earned May 20, 2022 EDT
Google Cloud 中的 Kubernetes Earned May 20, 2022 EDT
DEPRECATED Google Cloud's Operations Suite Earned May 19, 2022 EDT
Google Cloud Solutions I: Scaling Your Infrastructure Earned May 19, 2022 EDT
DEPRECATED Cloud Architecture Earned May 14, 2022 EDT
瞭解 Google Cloud 費用 Earned May 14, 2022 EDT
Automate Deployment and Manage Traffic on a Google Cloud Network Earned May 12, 2022 EDT
在 Google Cloud 設定應用程式開發環境 Earned May 7, 2022 EDT
在 Compute Engine 導入 Cloud Load Balancing Earned May 7, 2022 EDT
基本概念:基礎架構 Earned May 3, 2022 EDT
Google Cloud 必備知識 Earned Apr 30, 2022 EDT

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 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 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「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 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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本課程會介紹 Vertex AI Studio。您可以運用這項工具和生成式 AI 模型互動、根據商業構想設計原型,並投入到正式環境。透過身歷其境的應用實例、有趣的課程及實作實驗室,您將能探索從提示到正式環境的生命週期,同時學習如何將 Vertex AI Studio 運用在多模態版 Gemini 應用程式、提示設計、提示工程和模型調整。這個課程的目標是讓您能運用 Vertex AI Studio,在專案中發揮生成式 AI 的潛能。

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本課程說明如何使用深度學習來建立圖像說明生成模型。您將學習圖像說明生成模型的各個不同組成部分,例如編碼器和解碼器,以及如何訓練和評估模型。在本課程結束時,您將能建立自己的圖像說明生成模型,並使用模型產生圖像說明文字。

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這堂課程將說明變換器架構,以及基於變換器的雙向編碼器表示技術 (BERT) 模型,同時帶您瞭解變換器架構的主要組成 (如自我注意力機制) 和如何用架構建立 BERT 模型。此外,也會介紹 BERT 適用的各種任務,像是文字分類、問題回答和自然語言推論。課程預計約 45 分鐘。

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本課程將介紹注意力機制,說明這項強大技術如何讓類神經網路專注於輸入序列的特定部分。此外,也將解釋注意力的運作方式,以及如何使用注意力來提高各種機器學習任務的成效,包括機器翻譯、文字摘要和回答問題。

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本課程概要說明解碼器與編碼器的架構,這種強大且常見的機器學習架構適用於序列對序列的任務,例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件,並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中,您將學習如何從頭開始使用 TensorFlow 寫程式,導入簡單的編碼器與解碼器架構來產生詩詞。

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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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本課程將介紹擴散模型,這是一種機器學習模型,近期在圖像生成領域展現亮眼潛力。概念源自物理學,尤其深受熱力學影響。過去幾年來,在學術界和業界都是炙手可熱的焦點。在 Google Cloud 中,擴散模型是許多先進圖像生成模型和工具的基礎。課程將介紹擴散模型背後的理論,並說明如何在 Vertex AI 上訓練和部署這些模型。

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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「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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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide a detailed overview of concepts covering cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning, and demonstrate some hands-on skills. This course is part of a series of courses called Google Cloud Computing Foundations. The courses should be completed in the following order: Google Cloud Computing Foundations: Cloud Computing Fundamentals Google Cloud Computing Foundations: Infrastructure in Google Cloud Google Cloud Computing Foundations: Networking and Security in Google Cloud Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Google Cloud Computing Foundation with Kubernetes This final course in the series rev…

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide a detailed overview of concepts covering cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning, and demonstrate some hands-on skills. This course is part of a series of courses called Google Cloud Computing Foundations. The courses should be completed in the following order: Google Cloud Computing Foundations: Cloud Computing Fundamentals Google Cloud Computing Foundations: Infrastructure in Google Cloud Google Cloud Computing Foundations: Networking and Security in Google Cloud Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Google Cloud Computing Foundation with Kubernetes This third course covers how to build secure networks, …

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. This course is part of a series of courses called Google Cloud Computing Foundations. The courses should be completed in the following order: Google Cloud Computing Foundations: Cloud Computing Fundamentals Google Cloud Computing Foundations: Infrastructure in Google Cloud Google Cloud Computing Foundations: Networking and Security in Google Cloud Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud Google Cloud Computing Foundations: Kubernetes Engine Fundamentals This first course provides an overview of cloud computing, ways to use Google Cloud, …

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The Google Cloud Computing Foundations courses are for individuals with little to no background or experience in cloud computing. They provide an overview of concepts central to cloud basics, big data, and machine learning, and where and how Google Cloud fits in. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills. The courses should be completed in the following order: 1. Google Cloud Computing Foundations: Cloud Computing Fundamentals 2. Google Cloud Computing Foundations: Infrastructure in Google Cloud 3. Google Cloud Computing Foundations: Networking and Security in Google Cloud 4. Google Cloud Computing Foundations: Data, ML, and AI in Google Cloud

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Discover the ease of an integrated multi-cloud database with data services that simplify database deployment and management. Get practical experience using MongoDB Atlas on Google Cloud and unlock the power of a flexible document data model that makes data easier to work with in a global, scalable, fully-managed, and elastic service. Level up and show off your skills during the MongoDB x Google Cloud Skills Boost Virtual Game Day. This is an interactive, challenge-based game that kicks off on March 8 and will be available through March 10. Come for the practical hands-on experience using MongoDB Atlas on Google Cloud and potentially win some prizes (cool swag kits and more!)*.

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Welcome to Qwiklabs Trivia for January! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the January badge.

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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.

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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.

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New year, new skills! Add 23 (or so) new skills and techniques to your toolkit, while sampling certification-based learning paths. Whether you're thinking about Google Cloud's Data, DevOps or Networking certifications, or just exploring, this is the challenge to help you start your year strong.

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Welcome to Qwiklabs Trivia for December! Each week, we will release a new set of questions to test your knowledge. You will have opportunities to play throughout the month. Give your career a boost with hands on experience on GCP and partner services and earn the December badge.

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GOOOOAALLL! Get practical experience on the fundamentals of sports data science no matter who you're cheering for in this week's matches. Use BigQuery ML to train advanced models to predict goals and evaluate performance. Complete labs to learn new skills and earn the badge. No prior experience needed!

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No-code development platforms allow programmers and non-programmers alike to build beautiful, useful apps. Complete labs to learn new skills and earn the badge. No experience needed!

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Why celebrate Diwali with firecrackers when you can use Firebase? Learn how to import data into a Firestore database, create a build pipeline with Cloud Build to automate deployments, and build a Google Assistant application. Earn the badge for an arcade point and get one step closer to your swag goal. (OK fine, firecrackers are fun too.)

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Are you feeling the festive vibes? Add some Flutter to your flowers when you join this game. Get hands-on experience with Flutter - Google’s UI toolkit for building beautiful, natively compiled applications for mobile, web, and desktop from a single codebase. Earn the badge for an arcade point and get one step closer to your swag goal. Bonus- You’ll also earn the Flutter Essentials badge! 

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Like lanterns on the streets of cities, Looker shines light on data to give deeper insights. Join this game to learn how to write LookML code to create new dimensions and measures, create derived tables and join them to Explores, filter Explores, and define caching policies in LookML. Earn the badge for an arcade point and get one step closer to your swag goal.

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When the edges are crisp, the pattern flows, the colors sparkle, and the symmetry is perfect… wait, are we talking about Rangoli or spreadsheets? See what beauty Google Sheets can bring to your monthly reports. Join the game to learn how to analyze data with functions and visualize data using charts.  Earn the badge for an arcade point and get one step closer to your swag goal.

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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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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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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 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 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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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 Looker Studio 中 透過連結 BigQuery 資料建立報表。

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Firebase is a backend-as-service (Bass) platform for creating mobile and web applications. In this quest you will learn to build serverless web apps, import data into a serverless database, and build a Google Assistant application with Firebase and its Google Cloud integrations. 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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Twelve years ago Lily started the Pet Theory chain of veterinary clinics, and has been expanding rapidly. Now, Pet Theory is experiencing some growing pains: their appointment scheduling system is not able to handle the increased load, customers aren't receiving lab results reliably through email and text, and veteranerians are spending more time with insurance companies than with their patients. Lily wants to build a cloud-based system that scales better than the legacy solution and doesn't require lots of ongoing maintenance. The team has decided to go with serverless technology. For the labs in the Google Cloud Run Serverless Quest, you will read through a fictitious business scenario in each lab and assist the characters in implementing a serverless solution. 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…

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In this quest you will learn about the four Google Cloud website architectures available to ensure that your website is available and scalable. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, finish the additional challenge lab at the end of this Build a Website on Google Cloud to receive an exclusive Google Cloud digital badge. This quest is based on the video series Get Cooking in Cloud.

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In this quest, you will learn about Google Cloud’s IoT Core service and its integration with other services like GCS, Dataprep, Stackdriver and Firestore. The labs in this quest use simulator code to mimic IOT devices and the learning here should empower you to implement the same streaming pipeline with real world IoT devices.

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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.

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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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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.

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Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this course you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. It brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this course uses advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start.

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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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不想花費大把時間,想在幾分鐘內只靠 SQL,就建立好機器學習模型嗎?透過 BigQuery ML,資料分析師可以運用現有的 SQL 工具和技巧,建立、訓練、評估模型, 並使用模型進行預測,降低機器學習的使用門檻。在 本系列的實驗室,您會測試不同類型的模型,瞭解 優良模型應具備的條件。

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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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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 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:使用 Cloud Source Repositories 建立 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 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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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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Obtain a competitive advantage through DevOps. DevOps is an organizational and cultural movement that aims to increase software delivery velocity, improve service reliability, and build shared ownership among software stakeholders. In this course you will learn how to use Google Cloud to improve the speed, stability, availability, and security of your software delivery capability. DevOps Research and Assessment has joined Google Cloud. How does your team measure up? Take this five question multiple-choice quiz and find out!

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Kubernetes 是最受歡迎的容器自動化調度管理系統,Google Kubernetes Engine 則專門支援 Google Cloud 中的 代管 Kubernetes 部署項目。這門進階課程將帶您實際練習設定 Docker 映像檔和容器,並部署完整的 Kubernetes Engine 應用程式。 您會學到如何將容器自動化調度管理機制, 整合到自己的工作流程,這些技巧相當實用。 想透過實作挑戰實驗室展現 技能、驗收學習成果嗎?本課程結束後,再完成 在 Google Cloud 部署 Kubernetes 應用程式課程 結尾的挑戰實驗室,即可獲得專屬 Google Cloud 數位徽章。

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Learn the ins and outs of Google Cloud's operations suite, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. These labs will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this course, enroll in and finish the challenge lab at the end of the Monitor and Log with Google Cloud Operations Suite to receive an exclusive Google Cloud digital badge.

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In this course you will learn how you to harness serious Google Cloud power and infrastructure. The hands-on labs will give you use cases and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your Google Cloud projects to the next level.

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This fundamental-level quest is unique amongst the other quest offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Cloud Architect Certification. From IAM, to networking, to Kubernetes engine deployment, this quest is composed of specific labs that will put your Google Cloud knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.

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本課程最適合從事科技或金融職務, 且負責管理 Google Cloud 費用的人士修習。您將學習如何設定帳單帳戶、 整理資源及管理帳單存取權限。 在實作實驗室,您會瞭解如何查看帳單、從帳單報表追蹤 Google Cloud 費用、 使用 BigQuery 或 Google 試算表分析帳單資料, 以及使用 Looker Studio 建立自訂的帳單資訊主頁。如需影片提及的參考資源連結, 請參閱其他資源文件。

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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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只要修完「在 Google Cloud 設定應用程式開發環境」課程,就能獲得技能徽章。 在本課程中,您將學會如何使用以下技術的基本功能,建構和連結以儲存空間為中心的雲端基礎架構:Cloud Storage、Identity and Access Management、Cloud Functions 和 Pub/Sub。

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完成「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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如果您是剛起步的雲端開發人員, 想在 Google Cloud Essentials 外獲得更多實作經驗,歡迎參加本課程。您將透過實作實驗室, 深入瞭解 Cloud Storage 和其他重要應用程式服務,例如: Monitoring 和 Cloud Functions。您將習得 在任何 Google Cloud 專案都適用的寶貴技能。

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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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