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Building Chatbots with IBM Watson Assistant: End-to-End
Rating: 3.9 out of 5(72 ratings)
245 students

Building Chatbots with IBM Watson Assistant: End-to-End

IBM Watson Assistant Chatbot development tutorial
Created byThulani Ngwenya
Last updated 5/2018
English

What you'll learn

  • After taking this course, you will be able to develop your own chatbot from the very beginning to live deployment.
  • You will be a pro and be able to take on any chatbot requirements/ project for any industry and make them real.
  • Understand in detail how IBM Watson Assistant works
  • Be able to deploy applications on IBM Cloud
  • Have basic understanding of NodeJS
  • Develop your own fully functional chatbot in less time
  • Understand the Watson workspace platform
  • Understand the building blocks of chatbots
  • Understand how to improve your chatbot continuously that it remains intelligent

Course content

5 sections • 10 lectures • 1h 26m total length

  • Preview1:34

    Summary of what the whole course is about

  • Introduction3:48

    An introduction to what the course is about and what a learner will learn as a result of taking this course.

  • Basic requirement6:11

    This section discusses the minimum requirements for this course.

  • IBM Watson Assistant service7:28

    This lesson introduces learners to the chatbot building blocks and how an IBM Watson Assistant chatbot looks before we dive into the actual building of chatbots.

Requirements

  • No development knowledge required to build a basic bot
  • Advantageous: Logic, Process flow, Basic programming principles
  • You should be able to use the terminal/command line on Windows / MacOS / Linux
  • You should at least have seen a chatbot in action

Description

With the IBM Watson™ Assistant service, you can build a chatbot that understands natural-language input and uses machine learning to respond to customers in a way that simulates a conversation between humans.

This course will teach how to use IBM Watson Assistant service to build intelligent chatbots from end to end,

This diagram shows the overall architecture of a complete solution:

  • Users interact with your application through the user interface that you implement. For example, a simple chat window or a mobile app, or even a robot with a voice interface.

  • The application sends the user input to the Watson Assistant service.

    • The application connects to a workspace, which is a container for your dialog flow and training data.
    • The service interprets the user input, directs the flow of the conversation and gathers information that it needs.
    • You can connect additional Watson services to analyze user input, such as Tone Analyzer or Speech to Text.

  • The application can interact with your back-end systems based on the user's intent and additional information. For example, answer question, open tickets, update account information, or place orders. There is no limit to what you can do.

Who this course is for:

  • Anyone who wants to develop chatbots and get introduced to AI using IBM Watson services
  • Web developers interested in building exciting conversational interfaces and agents
  • Mobile developers who're keen on integrating conversational agents in their apps
  • Digitally Inquisitive Individuals
  • Business Analysts
  • Solution Architects

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