Vertex AI is now Gemini Enterprise Agent Platform! We are currently updating our content to reflect this change. Please bear with us if you encounter naming inconsistencies during this transition.
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Nikola Domazet
成为会员时间：2024
黄金联赛
11200 积分
圖像生成簡介
Earned Jul 9, 2024 EDT
Vertex AI Search for Commerce
Earned Jul 9, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Jul 3, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 3, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned Jul 1, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Jun 2, 2024 EDT
在 Vertex AI 設計提示
Earned May 30, 2024 EDT
負責任的 AI 技術簡介
Earned May 30, 2024 EDT
大型語言模型簡介
Earned May 29, 2024 EDT
生成式 AI 簡介
Earned May 29, 2024 EDT
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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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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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend. We then show you how Dataflow allows you to separate compute and storage while saving money, and how identity, access, and management tools interact with your Dataflow pipelines. Lastly, we look at how to implement the right security model for your use case on Dataflow.
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This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
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In this course, you will learn about the various services Google Cloud offers for modernizing retail applications and infrastructure. Through a series of lecture content and hands-on labs, you will gain practical experience deploying cutting-edge retail and ecommerce solutions on Google Cloud.
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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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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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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。
圖像生成簡介
Earned Jul 9, 2024 EDT
Vertex AI Search for Commerce
Earned Jul 9, 2024 EDT
Serverless Data Processing with Dataflow: Foundations
Earned Jul 3, 2024 EDT
Google Cloud Big Data and Machine Learning Fundamentals
Earned Jul 3, 2024 EDT
Modernizing Retail and Ecommerce Solutions with Google Cloud
Earned Jul 1, 2024 EDT
負責任的 AI 技術：透過 Google Cloud 採用 AI 開發原則
Earned Jun 2, 2024 EDT
在 Vertex AI 設計提示
Earned May 30, 2024 EDT
負責任的 AI 技術簡介
Earned May 30, 2024 EDT
大型語言模型簡介
Earned May 29, 2024 EDT
生成式 AI 簡介
Earned May 29, 2024 EDT