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 as

• We will cover key concepts behind Conversational AI , such as Listening and Comprehension, Knowledge of Subject area, Connect with User needs, Persuasion and Trusting relationship

• We will cover the terms used in Conversational AI with illustrations. These includes - Utterances, Intents, Entities, Context, Dialog, Short-tail and Long-tail

• We 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 conversationAI experience using the concepts defined in this course using an example self service use case.