你将学到什么
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
课程概况
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!
课程大纲
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 ExamSummary
预备知识
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.
