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所在平台: Udemy |
课程主页: https://www.udemy.com/course/design-conversational-ai-experience/
课程评论：没有评论
课程名称：设计对话式AI体验 概述：随着新冠疫情时代的到来，在线客户互动的重视度日益增加。许多组织正在努力转变其互动方式，以提升在线存在感。你准备好转变你的互动，以增强在线影响力吗？客户调查显示，用户对静态网页失去兴趣，反而更倾向于使用消息界面。如何定义一个超越简单信息传递的对话式AI解决方案？本课程将帮助你认识对话式AI系统的复杂性及其与客户、供应商和员工进行对话所需的关键组成部分。 课程内容包括多个部分，涵盖与对话式AI相关的重要方面，如下： 1. 关键概念：我们将探讨对话式AI的基本概念，包括倾听与理解、主题知识、用户需求连接、说服力和信任关系。 2. 术语介绍：课程将解释对话式AI中使用的术语，并通过插图进行说明。这些术语包括——话语、意图、实体、上下文、对话、短尾和长尾。 3. 心理学应用：我们将研究对话的心理学方面，如何提升AI引擎的个性以更好地与用户互动。 4. 对话式AI引擎分类：课程将介绍对话式AI引擎的分类，基于对话对象和AI引擎在对话中是支持还是主导角色。 5. 复杂性测量：我们将提供对话复杂性的衡量标准，用于展示如何利用先进能力构建复杂的对话式AI系统，以提升用户互动。 6. 解决方案组件：课程将探讨对话式AI解决方案的各个组成部分，提出一个可用于在真实商业流程中部署系统的整体解决方案架构，并用于收集反馈、分析和增强其能力。 7. 实践设计：最后，我们将基于本课程定义的概念，设计一个对话式AI体验，使用示例自助服务用例进行说明。 通过本课程的学习，参与者将全面掌握对话式AI设计的核心要素，提升在数字化互动中的能力与效果。
During Covid-19 era, the emphasis on online customer engagement is rapidly increasing. Most organizations are already working on transforming their engagements to increase their online presence. Are you ready to transform your engagement to increase your online presence? Customer surveys find users are turned off from static web pages and drawn to messaging interfaces. How do you start defining a Conversational AI solution that goes beyond simple messaging?This course will provide you with an appreciation for the complexity of conversational AI systems and desired components needed for a conversational engagement with your customers, suppliers and employees.The course is divided into multiple sections and will cover many important aspects associated with Conversational AI, such asWe will cover key concepts behind Conversational AI , such as Listening and Comprehension, Knowledge of Subject area, Connect with User needs, Persuasion and Trusting relationshipWe will cover the terms used in Conversational AI with illustrations. These includes - Utterances, Intents, Entities, Context, Dialog, Short-tail and Long-tailWe will psychological aspects of conversation. How do we improve the personality of an AI engine to better engage with its users? We will ntroduce Conversational AI engines with classifications based on who is conversing and whether the AI engine is supporting or leading a conversation with its users. We will provide a measure of the complexity of conversation. It uses the terms specified in previous sections and will illustrate how sophisticated Conversational AI systems can be build using advanced capabilities to improve user engagement. We will various components of Conversational AI solution. It proposes an overall solution architecture that can be used to deploy the system in a real-life business process and used for collecting feedback, analyzing and enhancing its capabilities. Finally, we will use design a conversation AI experience using the concepts defined in this course using an example self service use case.
