IBM: Smarter Chatbots with Node-RED and Watson AI

About this course

3 weeks

2 – 4 hours per week

Self-paced

Progress at your own speed

In this course, you'll learn how to use Node-RED to augment the capabilities of your Watson Assistant chatbots by integrating them with services such as Watson Translate and Text to Speech. You'll also practice deployment of chatbots to Facebook Messenger.

Node-RED, which is built on Node.js, is a browser-based flow editor that makes it easy to wire together devices, APIs, and online services by simply dragging and dropping nodes on a palette. You then connect, or wire, the nodes to create flows that can be then deployed to the lightweight Node.js runtime with a single click.

Get hands-on experience in this course as you learn how to use Node-RED to augment the capabilities of your Watson Assistant chatbots. You will learn how to:

Convert speech to text
Analyze tone
Translate text into different languages
Send tweets through Twitter
Add audio and video capabilities
Set up a chatbot using the IBM Watson Assistant service and Facebook Messenger.

This course requires no programming experience!

At a glance

Institution:IBM
Subject:Computer Science
Level:Intermediate
Prerequisites:
- You will work with basic HTML and JavaScript, but the course labs will provide that code.
- If you are not familiar with Watson Assistant, you should take the How to Build Chatbots and Make Money course first.

Language:English
Video Transcript:English
Associated skills:Application Programming Interface (API), Artificial Intelligence, Chatbot, Node-RED, Node.js, Nodes (Networking), Online Service Provider, Speech Synthesis

What you'll learn

Create a Node-RED application
Consume web services from Node-RED
Integrate Watson Assistant with other Watson services
Connect your Node-RED applications to external services like Twitter
Deploy your chatbots to Facebook Messenger

Syllabus

Get started

Learning objectives
Prerequisites
Grading scheme

A business opportunity

Make money with chatbots

Lab 1: Create your first Node-RED flow

Lab 1 overview
1. Create a Node-RED instance
2. Connect Watson services
3. Create your first flows
Lab 1 solution
Review questions

Lab 2: Build a web page and create a REST API in Node-RED

Lab 2 introduction
1. Create a simple web page
2. Add JavaScript to your web application
3. Create a REST API
4. Consume the Watson Translator service
Lab 2 solution
Review questions

Lab 3: Translate text, analyze tone, add audio, and send tweets from your Node-RED application

Lab 3 introduction
1. Find community nodes
2. Add the community nodes to the Node-RED palette
3. Add the Speech to Text, Tone Analyzer, and Text to Speech services
4. Re-create the Interpreter application
5. Prepare for the OK Watson application
6. Add link nodes to more easily view the logic of the application flow
7. Import the OK Watson flow
8. Connect to your Twitter account
9. Add the community nodes to the package.json file (alternative method)
Lab 3 summary
Lab 3 solution
Review question

Lab 4: Create cognitive web pages and a Messenger bot

Lab 4 overview
1. Obtain Facebook Messenger credentials
2. Create Node-RED webhooks
3. Create the Node-RED Messenger listener
4. Create a Node-RED Messenger writer
5. Build a video captioning application
Lab 4 solution
Review question

Lab 5: Build HTML web pages that use Git repositories that can reuse browser-side JavaScript

Lab 5 introduction
1. Connect the Watson Conversation service to the Messenger bot
2. Build a Node-RED application that can reuse CSS and browser-side JavaScript
Lab 5 Solution
Review question

Final Exam

Summary

Who can take this course?

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IBM: Smarter Chatbots with Node-RED and Watson AI

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About this course

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IBM: Smarter Chatbots with Node-RED and Watson AI

This course is archived

About this course

At a glance

About this course

What you'll learn

What you'll learn

Syllabus

Syllabus

About the instructors

Instructors

Who can take this course?

Frequently Asked Questions

Who can take this course?

Frequently Asked Questions

Ways to take this course

Ways to take this course

Ways to take this course

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