AI Applications with Watson

Overview

By enrolling in this course, chances are you've studied artifical intelligence, built chatbots and have perhaps even used Watson Assistant along the way. But did you know that you can turbocharge your chatbot's IQ with IBM Watson Discovery, a service designed to reveal the hidden value in your data? Discovery specializes in taking your data--structured or unstructured--and extracting from it answers and patterns.

For example, if you have a large repository, the contents of which could answer customer questions, you've got the makings of a great FAQ chatbot.

In this course, you'll learn how to build queries in Discovery, which allows you to surface answers and patterns from large repositories of data. You'll next learn to use Discovery to extract insights from a set of hotel reviews. 

Then, to make that data come to life, you'll integrate Discovery with other Watson services to create a chatbot that can tell you about the best hotels in a certain US city. By using these Watson services, you'll add more layers of analysis to help you find the best hotel.

You'll build your chatbot application with the following Watson services:

• Assistant

• Discovery

• Tone Analyzer

• Personality Insights

By the end of this course, you will have built a fully functioning AI-powered chatbot. Moreover, you should be able to apply the services taught here to your own data sets, enabling you to create sophisticated chatbots of your own.

The AI Applications with Watson course is offered by edX in collaboration with IBMx and is part of the Professional Certificate Applied AI and Professional Certificate Building Chatbots Powered by AI.

What you'll learn

• Apply your foundational concepts of AI and machine learning into building and programming chatbots

• Create a chatbot application that interacts in natural language in IBM Cloud

• Synthesize data that can be queried to extract sentiment, concepts, entities, and taxonomy by using Watson Discovery

• Reveal the emotions, sentiment, and customer preferences found in hotel reviews by using Tone Analyzer and Personality Insights and feed that data to the chatbot