gabriel eliezer
Member since 2024
Silver League
62250 points
Skills Boost Arcade Trivia February 2025 Week 4
Earned Feb 26, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 3
Earned Feb 25, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 2
Earned Feb 25, 2025 EST
Skills Boost Arcade Trivia February 2025 Week 1
Earned Feb 25, 2025 EST
Love Beyond Query!
Earned Feb 20, 2025 EST
在 Google App Engine 上部署及管理應用程式
Earned Feb 4, 2025 EST
使用 AppSheet 建構應用程式
Earned Feb 4, 2025 EST
Level 1: App Dev and Deployment
Earned Feb 4, 2025 EST
Skills Boost Arcade Base Camp February 2025
Earned Feb 3, 2025 EST
Level 3: Arcade Heroes
Earned Jan 29, 2025 EST
Skills Boost Arcade Trivia January 2025 Week 4
Earned Jan 28, 2025 EST
The Arcade Trivia January 2025 Week 3
Earned Jan 28, 2025 EST
Level 2: Analysis with AI
Earned Jan 27, 2025 EST
The Arcade Trivia January 2025 Week 2
Earned Jan 27, 2025 EST
The Arcade Trivia January 2025 Week 1
Earned Jan 27, 2025 EST
充實中繼資料及發掘 Lakehouse 資料
Earned Jan 24, 2025 EST
在 Google Cloud 儲存、處理與管理資料 - 指令列
Earned Jan 24, 2025 EST
Level 1: Data Operations and Workflow Optimization
Earned Jan 24, 2025 EST
Skills Boost Arcade Skillsresolve
Earned Jan 23, 2025 EST
The Arcade Base Camp January 2025
Earned Jan 20, 2025 EST
Serverless Data Processing with Dataflow: Operations
Earned Nov 23, 2024 EST
Conversational AI Voice and Chat Integrations
Earned Nov 22, 2024 EST
[DEPRECATED] Advanced Performance Measurement
Earned Nov 22, 2024 EST
[DEPRECATED] Basic Performance Measurement
Earned Nov 19, 2024 EST
[DEPRECATED] Webhook fundamentals
Earned Nov 19, 2024 EST
使用 Gemini：應用程式開發人員
Earned Nov 18, 2024 EST
Data Catalog Fundamentals
Earned Nov 9, 2024 EST
在 Google Cloud 使用 TensorFlow 分類圖像
Earned Nov 9, 2024 EST
使用 Dataplex 整理及管理資料
Earned Sep 26, 2024 EDT
Building No-Code Apps with AppSheet: Foundations
Earned Jun 8, 2024 EDT
從 BigQuery 資料取得深入分析結果
Earned Jun 6, 2024 EDT
Google Cloud 資料分析簡介
Earned Jun 4, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned May 27, 2024 EDT
負責任的 AI 技術簡介
Earned May 27, 2024 EDT
大型語言模型簡介
Earned May 24, 2024 EDT
生成式 AI 簡介
Earned May 24, 2024 EDT
管理 Google Cloud 中的 Kubernetes
Earned May 24, 2024 EDT
使用 Gemini：資安工程師
Earned May 17, 2024 EDT
Conversational AI on Vertex AI and Dialogflow CX
Earned May 17, 2024 EDT
在 Google Cloud 使用機器學習 API
Earned May 17, 2024 EDT
運用 BigQuery ML 建立機器學習模型
Earned May 17, 2024 EDT
使用 Google API 分析語音和語言
Earned May 16, 2024 EDT
透過 Vertex AI 建構及部署機器學習解決方案
Earned May 16, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
Earned May 15, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
Earned May 14, 2024 EDT
Google Cloud 的 AI 和機器學習服務簡介
Earned May 14, 2024 EDT
Google Cloud 運算的基本概念：Google Cloud 基礎架構
Earned May 10, 2024 EDT
Google Cloud 運算的基本概念：Cloud 運算基礎知識
Earned May 10, 2024 EDT
在 Google Cloud 為機器學習 API 準備資料
Earned May 9, 2024 EDT
建構安全的 Google Cloud 網路
Earned May 7, 2024 EDT
在 Google Cloud 設定應用程式開發環境
Earned May 6, 2024 EDT
在 Compute Engine 導入 Cloud Load Balancing
Earned May 3, 2024 EDT
Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 4 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 3 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 2 badge!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for February 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 February Trivia Week 1 badge!
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Fall in love with data this Valentine's. Get hands-on with labs that teach you everything from data exploration and filtering to dashboard alerts and Looker Studio magic. No prior experience needed—Game on!
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完成「在 Google App Engine 上部署及管理應用程式」課程，即可獲得技能徽章。本課程將說明如何搭配 Python、Go 和 PHP 使用 App Engine。
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完成使用 AppSheet 建構應用程式課程，即可獲得技能徽章 ，瞭解如何使用 AppSheet 建構、設定及發布應用程式。
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Turn your app ideas into reality with Google Cloud in 2025! Whether you're a beginner or looking to level up, these hands-on labs will guide you through building and deploying apps. Set up your development environment, store and manage data, and launch scalable, serverless applications—all with real-world challenges designed to boost your skills. No experience? No problem!
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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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Level up your cloud skills with hands-on labs covering everything from storage and BigQuery to VPCs, Pub/Sub, and Artifact Registry for Python and Go. No experience needed—explore, learn, and earn your Google Cloud Credential on your journey to becoming an Arcade Hero!
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Hey there! You're invited to game on with Skills Boost Arcade Trivia for January Week 4! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 4 badge!
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Hey there! You're invited to game on with the Arcade Trivia for January Week 3! Play throughout the month and boost your cloud learning journey. Every week, we'll release a new set of questions to test your knowledge of Google Cloud Platform. Get started now and earn the January Trivia Week 3 badge!
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Earn your latest Google Cloud Credential by exploring AI, machine learning, and data analysis. With AI expected to add $15.7 trillion to the global economy by 2030, now is the perfect time to get hands-on with tools like Gemini, Looker BI, TensorFlow, and Document AI. You'll work on real-world tasks like analyzing reviews, detecting fraud, and optimizing workflows. No experience needed—just a passion for learning and leveling up your skills!
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Hey there! You're invited to game on with the 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 the 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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完成「充實中繼資料及發掘 Lakehouse 資料」技能徽章課程，即可證明您具備 BigQuery、 Lakehouse 和 Knowledge Catalog 的相關技能。您會建立 Lakehouse 資料表，並充實中繼資料管理和資料表資料探索功能。
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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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Earn your first Google Cloud Credential in 2025 by learning data operations and workflow optimization. Get hands-on with tools like Cloud Dataprep, BigLake, and Config Sync to simplify data management, reduce costs, and automate tasks. Whether you're analyzing BigQuery logs or organizing data in BigLake, these labs are designed to improve your workflow—no experience needed!
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Stay true to your learning goals this year by earning an exclusive Google Cloud credential and picking up essential skills like automating workflows, managing resources, solving technical issues, and strengthening security. Game on to boost your Skillsresolve!
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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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In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.
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Learn about building conversational AI voice and chat integrations, including how telephony systems can connect with Google to enable phone-based interactions within the Conversational AI ecosystem. Explore key topics such as the differences between chat and voice conversations, the writing process for creating conversation scripts, and the beginning of the interrogative series and closing sequence.
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In this course, you will learn about advanced methods and tools to monitor the performance of your virtual agents in Dialogflow CX
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This course explores the fundamentals of the feedback loop process for Virtual Agent development and introduces the native capabilities within Dialogflow CX that support it
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In this course, you will learn the important role that different types of webhooks play in Dialogflow CX development, and how to effectively integrate them into your routine configuration of a Virtual Agent.
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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，可協助開發人員透過 Google Cloud 建構應用程式。您將瞭解如何透過提示讓 Gemini 為您解釋程式碼內容、推薦 Google Cloud 服務，以及生成應用程式的程式碼。在實作研究室中，您也會體驗到 Gemini 如何改良應用程式的開發工作流程。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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Data Catalog is deprecated and will be discontinued on January 30, 2026. You can still complete this course if you want to. For steps to transition your Data Catalog users, workloads, and content to Dataplex Catalog, see Transition from Data Catalog to Dataplex Catalog (https://cloud.google.com/dataplex/docs/transition-to-dataplex-catalog). Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, understand, and manage all of their data. In this quest you will start small by learning how to search and tag data assets and metadata with Data Catalog. After learning how to build your own tag templates that map to BigQuery table data, you will learn how to build MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors.
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完成「在 Google Cloud 使用 TensorFlow 分類圖像」技能徽章中階課程， 瞭解如何使用 TensorFlow 和 Vertex AI 建立及訓練機器學習模型， 即可獲得技能徽章。在 Vertex AI Workbench 中，你主要會和使用者自行管理的筆記本 互動。
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完成「使用 Dataplex 整理及管理資料」技能徽章入門課程，即可證明您具備下列技能：建立 Dataplex 資產、建立切面類型，以及將切面套用至 Dataplex 中的項目。 技能徽章課程透過實作實驗室和挑戰評量，檢驗學員對於特定產品的實作知識。 完成課程或直接進行挑戰實驗室，即可取得徽章。徽章可證明您的專業能力、提升專業形象，開創更多職涯發展機會。前往個人資料頁面，追蹤您獲得的徽章。
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In this course you will learn the fundamentals of no-code app development and recognize use cases for no-code apps. The course provides an overview of the AppSheet no-code app development platform and its capabilities. You learn how to create an app with data from spreadsheets, create the app’s user experience using AppSheet views and publish the app to end users.
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完成 從 BigQuery 資料取得深入分析結果 技能徽章入門課程，即可證明您具備下列技能： 撰寫 SQL 查詢、查詢公開資料表、將樣本資料載入 BigQuery、使用 BigQuery 的查詢驗證工具 排解常見語法錯誤，以及在 Data Studio 中 透過連結 BigQuery 資料建立報表。
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這堂初級課程將介紹 Google Cloud 的資料分析工作流程，以及用於探索、分析資料並以圖表呈現的工具。您也能學會如何與相關人員分享自己的發現結果。本課程包含個案研究、實作實驗室、講座、測驗和示範，實際展示如何將原始資料集轉化為清晰的資料，進而呈現出能發揮成效的圖表和資訊主頁。無論您是資料領域從業人員、想瞭解如何透過 Google Cloud 取得成功，或有意在職涯中更上一層樓，本課程都能協助您踏出第一步。絕大多數在工作上執行或運用資料分析的學員，都能從本課程受益。
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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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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「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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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具，可協助您透過 Google Cloud 保護雲端環境和資源。您將學到如何將工作負載範例部署到 Google Cloud 中的環境，以及運用 Gemini 找出並修復安全性設定錯誤。在實作研究室中，您也會體驗到 Gemini 如何改良雲端安全防護機制。
Duet AI 已更名為 Gemini，這是我們的新一代模型。
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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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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「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「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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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
本系列的最後一堂課回顧了代管大數據服務、機器學習與這項技術的價值，以及如何獲得技能徽章，進一步展示您的 Google Cloud 技能。
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。
完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第三門課涵蓋雲端自動化和管理工具，以及建構安全網路。
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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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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會概略介紹雲端基礎知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能闡述這些概念並展示實用技能。學員需依序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
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Google Cloud 運算基本概念課程，適合幾乎沒有雲端運算背景或經驗的學員。這些課程會說明雲端運算基本知識、大數據和機器學習的核心概念，以及 Google Cloud 的角色和定位。完成這一系列課程後，學員將能夠闡述這些概念並展示實用技能。學員應依以下順序完成課程：
1. Google Cloud 運算的基本概念：Cloud 運算基礎知識
2. Google Cloud 運算的基本概念：Google Cloud 基礎架構
3. Google Cloud 運算的基本概念：Google Cloud 的網路與安全性
4. Google Cloud 運算的基本概念：Google Cloud 中的資料、機器學習和 AI
第一門課會概略說明雲端運算、Google Cloud 的使用方式，以及不同的運算選項。
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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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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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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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