Building Robots with TJBot

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  • Course Number
  • Classes Start
    Aug. 20, 2018
  • Estimated Effort
    3 hours
  • Audience
  • Course Level
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  • Badge Earned
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About this course

This course is for all those do-it-yourself Node.js or Node-RED programmers who want to learn IoT basics. You can purchase the TJBot if you don't already have one or run it in a simulator, so no purchase necessary!

You'll use artificial intelligence services (Watson) to program the robot to recognize objects and color, translate speech to text, recognize and translate languages, and analyze emotional tones in text.

Course syllabus

  • TJBot overview
  • TJBot and IBM Watson services
  • Set up your environment
    • Option 1: Access the virtual simulator
    • Option 2: Configure the physical bot
  • Quick labs
    • Lab 1: Move the robot's arm
    • Lab 2: Shine and pulse the LED light
    • Lab 3: Make the robot see
    • Lab 4: Convert speech to text
    • Lab 5: Translate language
    • Lab 6: Make the robot speak
    • Lab 7: Make the robot recognize tone
    • Lab 8: Make the robot chat
  • Complex labs
    • Lab 9: Converse with TJBot
    • Lab 10: Detect tone in audio and react with a colored light
    • Lab 11: Recognize objects and say them out loud
  • Final exam

What will I get after passing this course?

  • You will receive a completion certificate.


You should have basic programming experience with either Node.js or Node-RED. Experience with programming IoT devices is not required.

You must have a Pay-As-You-Go or subscription IBM Cloud account.

For this course, you can program the physical TJBot or use a simulator that will mimic the actions, speech, and sounds of the robot. If you use the simulator, you need only a web browser.

If you want to use the physical robot, you must 3D-print or purchase the TJBot. You can create the same project files on the Raspberry Pi and run the Node.js application.

TJBot can be programmed in Node-RED, Swift, Python, and Node.js. This course will use a Node.js simulator that mirrors the real bot to make it accessible to everyone. This code can be copied over to the Raspberry Pi and run as-is with little modification.

Course instructor

JeanCarl Bisson

JeanCarl Bisson

IBM Technical Innovation Lead


Course staff

Michelle Carey

Michelle Carey

IBM Courseware Developer

Frequently Asked Questions

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