Building Robots with TJBot

What You’ll Learn

This comprehensive course guides you through building, programming, and enhancing your own TJBot robot. Here are the key skills and technologies you’ll master:

• Understand the basics of the TJBot hardware and its components – Learn about each part and how it works.
• Assemble the TJBot kit and set up the physical structure – Step-by-step assembly instructions.
• Install and configure the required software and development environment – Prepare your coding setup for TJBot.
• Connect TJBot to IBM Cloud services for AI capabilities – Integrate Watson and other AI tools.
• Program TJBot to respond to voice commands using speech-to-text and text-to-speech – Enable interactive voice control.
• Enable TJBot to recognize emotions using visual recognition APIs – Teach TJBot to detect human emotions.
• Integrate natural language processing for conversational interactions – Make TJBot hold meaningful conversations.
• Control TJBot’s movements and gestures programmatically – Animate and move TJBot with code.
• Implement IoT connectivity for remote monitoring and control – Connect TJBot to IoT networks.
• Develop custom skills and behaviors for TJBot using Node.js or Python – Create unique actions and features.
• Troubleshoot, test, and deploy your TJBot projects for real-world use – Finalize and deploy your robot.

Pro Tip: This course focuses on practical application rather than theory. You’ll work on real projects that you can add to your portfolio immediately.

Course Content

Requirements

This course is designed to be beginner-friendly and is open to anyone,regardless of prior experience or background.

Course Description

In this course, you will gain hands-on experience in building and programming robots using TJBot, an open-source IBM platform designed to explore AI and IoT technologies. You will start by understanding the TJBot hardware components, assembling the kit, and setting up the software environment. You will learn to connect TJBot to IBM Cloud services, enabling capabilities such as speech recognition, text-to-speech, emotion detection, and image recognition. The course will guide you through programming TJBot to respond to voice commands, engage in natural language conversations, and perform physical movements. You will also explore IoT integration for remote monitoring, develop custom skills and behaviors using Node.js or Python, and implement AI-driven features for real-world applications. By the end of the course, you will have the knowledge and skills to troubleshoot, enhance, and deploy your own intelligent TJBot creations.

Course Content

Our comprehensive curriculum is organized into 6 core modules plus bonus content, designed to take you from assembling your first TJBot to programming it with AI, voice, vision, and IoT capabilities.

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