In this course, we will provide you hands-on experience in building a Conversational AI Chatbot using IBM’s Watson Assistant. This course is meant for anyone who is interested in gaining experience in building chatbot experience without prior knowledge in AI or Conversational AI.

Though knowledge of Watson Assistant is desired but not required but Knowledge of Python is required.. We will be providing sample Python code to complete relevant course assignment sections.

You will learn how to

• Design a conversational AI experience

• Design and build key conversational AI components

• Train conversational AI key components

• Prototype a conversational AI experience using Watson Assistant

• Integrate with data sources

This course is divided into multiple sections.

• In section 1, we will provide introduction on the course'

• In Section 2, we will describe a conversational use case which will be used in prototyping of conversation experience.

• In Section 3, we will provide instructions on how to set up environment including account set up for developing IBM Watson Assistant based conversational solution.

• Section 4 will design various concepts used in Conversational AI, such as Utterances, Intents, Entities, Context and Dialog.

• In section 5 , we will develop training data set for some of these concepts like . Utterances, Intents, Entities.

• In section 6 we will cover how to set up a Dialog flow for our chosen use cases. We will cover couple of variations of dialog templates.

• Section 7 will provide how to integrate how Conversational AI solution with various external applications like Slack, Facebook, third party web application and others.

• In the last section, we will cover glimpses of many advanced topics like how to introduce voice technology, define contexts between user sessions, Chatbot personality and psychology and will summarize the learning.