Build a Chatbot with Watson APIs Course (How To)

IBM has created an AI platform named Watson that gives businesses and developers access to powerful tools for text and speech analysis, computer vision, and more. Watson APIs consist of a suite of services used to process or analyze data to answer questions and make decisions. This course will show you how to build a chatbot with Node.js and the Conversation and Discovery services from Watson. You'll also learn how to setup your bot on the IBM Cloud platform.

What you'll learn

• Set up personal Watson API instances on IBM Cloud
• Send and receive data from Watson APIs
• Process text using the Watson Conversation service
• Process text using the Watson Discovery service
• Configure a conversational dialog with intents and entities

Introducing the Watson APIs

IBM Watson is a platform of APIs that IBM has trained on immense data sets for use as a service. The Watson APIs allow you to process speech, text, and images in an easy and natural way. They also allow you to further train services with your own custom data to provide context-specific analysis. In this stage we'll get a good feel for what you can build with Watson APIs.

Chevron 9 steps

• Course Overview

  4:07

• What is Watson Used For?

  3:13

• Trying it Out

  5:10

• IBM Cloud and a Sample Chatbot

  5:00

• How Conversation and Discovery Services Work Together

  4:19

• How Conversation and Tone Analyzer Services Work Together

  3:33

• Starting Our Project on IBM Cloud

  7:12

• Starting Our Local Client

  6:28

• Review: What is Watson?

  6 questions

Using the Conversation Service

The heart of our chatbot is built using Watson's Conversation APIs. In this stage we'll build and test a custom Conversation Service and see how it is used from our client app.

Chevron 10 steps

• Intents, Entities, and Dialogs

  3:30

• Creating an Intent

  4:25

• Review: Intents

  5 questions

• What's Happening in My Node.js Code?

  4:44

• Clarifying with an Entity

  6:33

• Review: Entities

  4 questions

• Responding with a Dialog

  2:39

• Responding to an Intent

  4:51

• Exporting and Importing Components

  7:21

• Review: Dialogs

  5 questions

Using the Discovery Service

The real fun and power of the Watson platform happens when we start combining multiple services together to create more context-aware and capable systems. In this stage we will setup and integrate the Discovery API, which allows us to gather insights from unstructured or loosely defined data sets.

Chevron 8 steps

• Getting Started with the Discovery Service

  4:19

• Creating a Discovery Collection

  7:31

• Uploading AirBnb Reviews

  2:54

• Querying Using the Discovery Tools

  2:56

• Querying Using the Discovery API

  7:31

• Transferring from Conversation to Discovery

  12:11

• Wrapping Up and Next Steps

  1:51

• Review: Discovery Service

  6 questions