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Ho Wei Chun

成为会员时间:2024

钻石联赛

22570 积分
Vertex AI Search for Commerce Earned Aug 28, 2025 EDT
Intermediate ML: TensorFlow on Google Cloud Earned Aug 27, 2025 EDT
透過 Gemini in BigQuery 提升工作效率 Earned Aug 27, 2025 EDT
開發人員的負責任 AI 技術:隱私權與安全性 Earned Aug 27, 2025 EDT
在 BigQuery 使用 Gemini 模型 Earned Aug 27, 2025 EDT
Workspace: Add-ons Earned Aug 27, 2025 EDT
使用 Gemini:數據資料學家和分析師 Earned Aug 27, 2025 EDT
Automate Data Capture at Scale with Document AI Earned Aug 25, 2025 EDT
Secure BigLake Data Earned Aug 23, 2025 EDT
Get Started with Sensitive Data Protection Earned Aug 23, 2025 EDT
在 Vertex AI 使用 Gemini API 探索生成式 AI Earned Aug 22, 2025 EDT
運用 BigQuery 導入多模態向量搜尋 Earned Aug 22, 2025 EDT
強化 Gemini 模型功能 Earned Aug 22, 2025 EDT
Cloud Speech API:3 種應用 Earned Aug 22, 2025 EDT
在 Vertex AI 設計提示 Earned Aug 21, 2025 EDT
Classify Images with TensorFlow on Google Cloud Earned May 18, 2024 EDT
Monitor and Manage Google Cloud Resources Earned May 6, 2024 EDT
Analyze Images with the Cloud Vision API Earned May 6, 2024 EDT
Analyze Speech and Language with Google APIs Earned May 5, 2024 EDT
Create and Manage Cloud SQL for PostgreSQL Instances Earned May 4, 2024 EDT
Create and Manage AlloyDB Instances Earned May 3, 2024 EDT
Classify Images with TensorFlow on Google Cloud Earned May 2, 2024 EDT
在 Google Cloud 整合應用程式與 Gemini 1.0 Pro Earned Apr 26, 2024 EDT

This on-demand course provides partners the skills required to design, deploy, and monitor Vertail AI Search for Commerce solutions including retail search and recommendation AI for enterprise customers.

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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.

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本課程會說明 Gemini in BigQuery,這是一套由 AI 輔助的功能,可協助「從資料到 AI」的工作流程。這些功能包含資料探索和準備、程式碼生成和疑難排解,以及工作流程探索和視覺化。本課程將透過概念解說、應用實例和實作實驗室,協助資料從業人員提升工作效率,並加速開發 pipeline。

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本課程涵蓋「AI 隱私權」和「AI 安全性」這兩個重要主題。我們將介紹實用的方法和工具,協助您運用 Google Cloud 產品和開放原始碼工具,導入 AI 隱私權和安全性的建議做法。

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本課程將示範如何在 BigQuery 運用 AI/機器學行模型,以執行生成式 AI 任務。透過涉及顧客關係管理的應用實例,您將瞭解運用 Gemini 模型解決業務問題的工作流程。為了便於理解,本課程還提供了採用 SQL 查詢和 Python 筆記本的程式設計解決方案,指導您逐步操作。

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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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本課程介紹的 Gemini 是採用生成式 AI 技術的協作工具,可協助分析客戶資料及預測產品銷售情形。您也會學習如何在 BigQuery 中使用客戶資料識別、分類及開發新客戶。透過使用實作研究室,您可以體驗 Gemini 如何改良資料分析和機器學習工作流程。 Duet AI 已更名為 Gemini,這是我們的新一代模型。

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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.

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Earn a skill badge by completing the Secure BigLake Data quest, where you use IAM, BigQuery, BigLake, and Data Catalog within Dataplex to create and secure BigLake tables. 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.

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Complete the introductory Get Started with Sensitive Data Protection skill badge to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud. 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 course, and final assessment challenge lab, to receive a digital badge that you can share with your network.

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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。 通過實作實驗室和挑戰評量,就能獲得技能徽章,證明自己擁有特定產品的 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。 已獲得的徽章會顯示在您的個人資料 中。

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完成運用 BigQuery 導入多模態向量搜尋技能徽章中階課程, 即可證明自己具備下列技能:使用 Gemini in BigQuery 生成 SQL 程式碼並偵錯、執行情緒分析、 總結文字重點並找出關鍵字、生成嵌入項目、建立檢索增強生成 (RAG) pipeline, 以及導入多模態向量搜尋。 技能徽章是 Google Cloud 獨家核發的數位徽章, 用於肯定您對 Google Cloud 產品和服務的精通程度。 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。 完成這個技能徽章課程,以及挑戰實驗室的結業評量之後, 即可取得數位徽章並與他人分享。

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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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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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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。 「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 本課程及結業評量挑戰研究室,即可取得技能徽章 並與親友分享。

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Earn the intermediate skill badge by completing the Classify Images with TensorFlow on Google Cloud course where you will learn how to use TensorFlow and Vertex AI to create and train machine learning models. You will primarily interact with Vertex AI Workbench user-managed notebooks. 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.

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This challenge lab tests your skills and knowledge from the labs in the Monitor and Manage Google Cloud Resources quest. You should be familiar with the content of labs before attempting this lab.

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Earn a skill badge by completing the Analyze Images with the Cloud Vision API quest, where you discover how to leverage the Cloud Vision API for various tasks, including extracting text from images.

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Earn a skill badge by completing the Analyze Speech and Language with Google APIs quest, where you learn how to use the Natural Language and Speech APIs in real-world settings.

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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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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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Earn the intermediate skill badge by completing the Classify Images with TensorFlow on Google Cloud course where you will learn how to use TensorFlow and Vertex AI to create and train machine learning models. You will primarily interact with Vertex AI Workbench user-managed notebooks. 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.

了解详情

這個簡短的課程會說明如何在 Google Cloud 整合應用程式與 Gemini 1.0 Pro 模型,讓您瞭解 Gemini API 及其生成式 AI 模型,並學習如何透過程式碼存取 Gemini 1.0 Pro 和 Gemini 1.0 Pro Vision 模型。另外,您會在應用程式中使用文字、圖片和影片提示,測試模型的功能。

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