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所在平台: Udemy |
课程主页: https://www.udemy.com/course/rag-with-azure-openai-ai-search-cosmosdb-graphrag-more/
课程评论：没有评论
**课程名称：** RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more) **课程概述：** 本课程是一门关于使用 Azure OpenAI 实现检索增强生成（RAG）的综合性课程，面向希望深入了解高级 AI 技术的数据专业人士和 AI 爱好者。课程将提供将 RAG 与各种 Azure 服务集成的实战见解，帮助您增强 AI 解决方案中的知识检索能力。 **学习目标：** * **精通 RAG 与 Azure AI Search：** 学习如何在 Azure 强大的 AI Search 环境中增强搜索能力并有效检索相关数据。 * **实现 RAG 与 Azure CosmosDB：** 探索存储、管理和查询大型数据集的方法，优化高 Kúqián 性能应用程序的信息检索。 * **利用 RAG 在 Azure AI Studio 中：** 在提供增强灵活性的强大开发环境中，利用 Azure AI Studio 中的 RAG 开发自定义解决方案。 * **使用 RAG 在 Microsoft Copilot Studio 中开发：** 掌握使用 Microsoft Copilot Studio 创建智能应用程序的技能，使您的用户交互更具吸引力和洞察力。 * **掌握 Graph RAG 与 Neo4j：** 理解基于图的数据存储和检索，通过 Neo4j 分析数据中的复杂关系。 本课程包含大量真实应用场景、实际演示和代码讲解，将帮助您掌握跨各种 Azure 平台实施 RAG 的知识，并提升您的 AI 项目。立即加入，通过 RAG 和 Azure OpenAI 学习热门技能，将您的 AI 能力提升到新高度！
Unlock the power of Retrieval-Augmented Generation (RAG) with Azure OpenAI in this comprehensive Udemy course, designed for data professionals and AI enthusiasts eager to deepen their expertise in advanced AI techniques. This course provides hands-on insights into integrating RAG with various Azure services, enabling you to enhance knowledge retrieval within AI solutions.Learning Objectives:Master RAG with Azure AI Search:Learn how to enhance search capabilities and retrieve relevant data effectively within Azure's robust AI Search environment.Implement RAG with Azure CosmosDB:Discover methods to store, manage, and query large datasets, optimizing information retrieval for high-performance applications.Leverage RAG in Azure AI Studio:Utilize RAG within Azure AI Studio to develop custom solutions in a powerful development environment with enhanced flexibility.Develop with RAG on Microsoft Copilot Studio:Gain skills to create intelligent applications using Microsoft Copilot Studio, making user interactions more engaging and insightful.Navigate Graph RAG with Neo4j:Understand graph-based data storage and retrieval, allowing you to analyze complex relationships within data through Neo4j.This course is packed with real-world applications, practical demonstrations, and code walkthroughs, equipping you with the knowledge to implement RAG across various Azure platforms and elevate your AI projects. Join now to gain in-demand skills and take your AI capabilities to the next level with RAG and Azure OpenAI!
