Robotics Intermediate 3 IoT + Cloud

What you'll learn

• Understand AI-powered IoT systems
• Train simple voice and image recognition models
• Connect AI models to robotics and IoT devices
• Send commands to robots using cloud services
• Understand MQTT and automation workflows
• Build smart AI-controlled IoT projects

This course includes:

• 1 Final AI + IoT Robotics Project
• 12–16 Hours Live Practical Classes
• Online / Onsite (Physical)
• AI Model Training Exercises
• IoT Automation Labs
• Certificate of Completion

Course Content

Introduction to AI + IoT Systems

• What is AI-powered IoT?
• Understanding:

• Cloud AI
• Smart automation
• Edge devices
• Connected robotics
  • Real-world AI + IoT examples:
• Smart assistants
• Face recognition systems
• Voice-controlled devices
• Smart surveillance

AI Model Training with Teachable Machine

• Introduction to:

• Teachable Machine
  • Training simple AI models:
• Image classification
• Voice command recognition
  • Collecting training samples
  • Testing and improving model accuracy
  • Exporting trained AI models

Voice Command Recognition

• Creating custom voice commands
• Understanding:

• Audio input
• Classification results
• Confidence scores
  • Triggering actions from voice recognition
  • Examples:
• “Move Forward”
• “Stop Robot”
• “Turn Left”

Example AI decision concept:
f(x)=\arg\max(P(class_i|x))

Image-Based Commands

• Training image recognition models
• Detecting:

• Hand gestures
• Objects
• Symbols
  • Connecting image results to robotic actions
  • Simple camera-based automation concepts

IoT Communication & Automation

• Sending commands from cloud services to devices
• Understanding:

• MQTT protocol basics
• Publish/Subscribe communication
• Automation triggers
  • Connecting AI outputs to IoT systems

Using:
• IFTTT
• MQTT

ESP8266 / Robot Integration

• Connecting cloud AI commands to:

• ESP8266
  • Triggering:
• LEDs
• Motors
• Robot movement
• Sensors
•  Real-time command execution

Mini Practice Activities

• Voice-controlled LED system
• Gesture-based robot movement
• MQTT message testing
• AI-triggered automation flows
• Cloud-controlled robotics simulation

Final Project

Project: AI-Controlled Smart Robot / IoT Device

Features:

• Voice or image recognition model
• Cloud AI integration
• ESP8266 Wi-Fi communication
• MQTT or IFTTT automation
• Smart robotic or IoT responses

Example Projects:

• Voice-controlled robot
• Gesture-controlled smart car
• AI-based smart home controller
• Object-detection alert system

Requirements

• Basic IoT and Arduino knowledge required
• Laptop/PC with internet connection
• Webcam and microphone recommended

Description

This course introduces students to AI-powered IoT and robotics systems using cloud-based machine learning tools and automation platforms. Students will train simple voice or image recognition models and connect them to IoT devices and robots using MQTT or cloud automation workflows.

By the end of this program, learners will be able to build intelligent IoT systems that respond to voice or visual commands.

Why Choose This Course?

• Beginner-friendly AI + IoT integration
• Hands-on machine learning experience
• Real-world cloud automation concepts
• Smart robotics and AI project development

Activities During Class

• Training AI models
• Testing voice and image recognition
• Sending commands via MQTT
• Integrating AI with ESP8266 devices
• Building cloud-controlled automation systems

Who Is This Course For?

• IoT and robotics learners
• STEM and AI beginners
• Future smart systems developers
• Students interested in automation and machine learning

Course Highlights

• Teachable Machine AI Models
• Voice & Image Recognition
• ESP8266 IoT Integration
• MQTT Communication
• IFTTT Automation
• AI-Controlled Robotics

🤖 Final Outcome

Students will be able to:
• Train basic AI classification models
• Build voice or image-controlled systems
• Connect AI outputs to IoT devices
• Use MQTT and automation workflows
• Control robots using cloud AI commands
• Understand foundational AI + IoT architecture