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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/nlp-microsoft-azure
课程评论：没有评论
课程名称：微软Azure中的自然语言处理 课程概述：自然语言处理支持能够看见、听到、与用户交谈及理解用户的应用程序。通过文本分析、翻译和语言理解服务，微软Azure使构建支持自然语言的应用程序变得简单。在本课程中，您将学习如何利用文本分析服务对原始文本进行高级自然语言处理，包括情感分析、关键词提取、命名实体识别和语言检测。您还将学习如何使用Azure认知服务来识别和合成语音。此外，您将了解如何通过自动翻译能力消除语言障碍，从而促进更紧密的协作。课程还将介绍语言理解服务，并演示如何创建能够理解语言的应用程序。 本课程将帮助您为AI-900考试（微软Azure AI基础）做好准备。这是一个五门课程项目中的第四门课程，旨在帮助您参加AI-900认证考试。本课程教授的核心概念和技能将反映在AI基础考试的评估领域中。 该初学者课程适合刚开始使用微软Azure的IT人员，帮助他们学习微软Azure的相关产品，并获得实际操作经验。微软Azure AI基础课程也可以为其他Azure角色认证（如微软Azure数据科学家助理或微软Azure AI工程师助理）做好准备，但并不作为任何认证的前提条件。 该课程面向具备技术和非技术背景的候选人。尽管无需具备数据科学和软件工程经验，但一些基本的编程知识或经验将是有益的。为了在课程中取得成功，您需要具备基本的计算机素养和英语语言能力，同时应熟悉基本的计算机概念和术语，以及一般的技术概念，包括机器学习和人工智能的相关概念。 课程大纲： 1. 名称：使用Azure AI服务进行文本和语音处理 描述：您将学习如何使用文本分析服务对原始文本进行高级自然语言处理，包括情感分析、关键词提取、命名实体识别和语言检测。此外，您还将学习如何使用Azure认知服务识别和合成语音。 2. 名称：在Azure AI中处理语言 描述：本模块将介绍语言理解服务，并展示如何创建能够理解语言的应用程序。 3. 名称：探索对话AI 描述：在本模块中，您将学习如何使用对话AI创建处理AI代理和人类用户之间对话的人工智能工作负载。
Name:Text and Speech Processing with Azure AI Services
Description:In this module, you will learn how to use the Text Analytics service for advanced natural language processing over raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will also learn how to recognize and synthesize speech by using Azure Cognitive Services.
Name:Work with Language in Azure AI
Description:In this module, we'll introduce you to the Language Understanding service, and show how to create applications that understand language.
Name:Explore conversational AI
Description:In this module, you will learn how to use Conversational AI ito create artificial intelligence workloads that deals with dialogs between AI agents and human users.
Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language. In this course, you will learn how to use the Text Analytics service for advanced natural language processing of raw text for sentiment analysis, key phrase extraction, named entity recognition, and language detection. You will learn how to recognize and synthesize speech by using Azure Cognitive Services. You will gain an understanding of how automated translation capabilities in an AI solution enable closer collaboration by removing language barriers. You will be introduced to the Language Understanding service, and shown how to create applications that understand language. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the fourth course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including machine learning and artificial intelligence concepts.
