Smarter Chatbots with Node-RED and Watson AI

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• 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