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Diego Izquierdo Dussan

Member since 2024

Diamond League

10775 points
Google Cloud 運算的基本概念:Cloud 運算基礎知識 Earned May 22, 2024 EDT
Vertex AI Search for Commerce Earned May 21, 2024 EDT
Google Cloud 資料分析基本概念 Earned May 17, 2024 EDT
生成式 AI 簡介 Earned May 14, 2024 EDT
[DEPRECATED] Integrate Vertex AI Search and Conversation into Voice and Chat Apps Earned May 7, 2024 EDT
[DEPRECATED] Search with AI Applications Earned May 5, 2024 EDT
[DEPRECATED] Google Cloud Big Data and Machine Learning Fundamentals Earned Apr 28, 2024 EDT

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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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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瞭解如何在 Google Cloud 將原始數據轉化為明確的資料導向決策。本初級課程提供實作研究室和實際情境,引導您在 BigQuery 查詢資料、在 Looker 探索趨勢,以及透過數據分析工具製作可共用的互動式報表。

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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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This course on Integrate Vertex AI Search and Conversation into Voice and Chat Apps is composed of a set of labs to give you a hands on experience to interacting with new Generative AI technologies. You will learn how to create end-to-end search and conversational experiences by following examples. These technologies complement predefined intent-based chat experiences created in Dialogflow with LLM-based, generative answers that can be based on your own data. Also, they allow you to porvide enterprise-grade search experiences for internal and external websites to search documents, structure data and public websites.

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(Previously named "Developing apps with Vertex AI Agent Builder: Search". Please note there maybe instances in this course where previous product names and titles are used) Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities. This course teaches you to use AI Applications to integrate enterprise-grade generative AI search.

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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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