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Excellence In ROBOTICS WITH AI(S-ERWA-6798)

  • Last updated Oct, 2026
  • Certified Course

Course Includes

  • Duration3 Months
  • Enrolled0
  • Lectures75
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

Robotics with AI is an advanced practical course that combines robotics, electronics, programming, sensors, IoT, artificial intelligence, machine learning and computer vision.

Students begin with the fundamentals of robotics and electronics and gradually learn to build and program robots using microcontrollers, sensors, motors and actuators. The course then introduces AI concepts such as machine learning, computer vision, intelligent decision-making and AI-based robot control.

Through hands-on projects such as line-following robots, obstacle-avoiding robots, voice-controlled robots, object-detection robots and AI-based robotic systems, students develop practical skills required to design and develop intelligent robotic applications.

🎯 What You Will Learn

  • Robotics fundamentals
  • Electronics and circuit building
  • Arduino and microcontrollers
  • C/C++ programming for robotics
  • Sensors and actuators
  • DC, servo and stepper motors
  • Robot assembly and control
  • Line-following and obstacle-avoiding robots
  • IoT and connected robotics
  • Python programming for AI and robotics
  • Artificial Intelligence fundamentals
  • Machine Learning concepts
  • Computer Vision
  • OpenCV fundamentals
  • Object detection and recognition
  • AI-based robot control
  • Voice-controlled robotics
  • Generative AI applications in robotics
  • Autonomous robotics concepts
  • Practical robotics project development

👨‍🎓 Who Can Join?

  • School and college students
  • Engineering students
  • Computer Science and IT students
  • Electronics students
  • Robotics enthusiasts
  • Beginners interested in AI and robotics
  • STEM learners
  • Students interested in automation
  • Aspiring robotics developers
  • Anyone interested in building intelligent robots

📌 Prerequisite

  • Basic computer knowledge
  • Basic mathematics and logical reasoning
  • No advanced programming experience is required
  • Basic electronics knowledge is helpful but not mandatory

🚀 Course Outcome

After completing the Robotics with AI course, students will be able to:

  • Understand the fundamentals of robotics and electronics
  • Build basic robotic systems
  • Program microcontrollers and robotic components
  • Interface sensors and motors
  • Develop line-following and obstacle-avoiding robots
  • Use Python for robotics and AI applications
  • Understand machine learning and computer vision
  • Implement AI-based robot decision-making
  • Develop camera-based robotic applications
  • Build IoT-enabled robotic systems
  • Integrate AI technologies into robotics projects
  • Design and demonstrate practical AI robotics projects

💼 Career & Learning Opportunities

  • Robotics Developer – Entry Level
  • Robotics Technician
  • Robotics Programming Assistant
  • Automation Technician
  • AI & Robotics Project Assistant
  • IoT Developer – Entry Level
  • Embedded Systems Trainee
  • STEM/Robotics Trainer
  • Computer Vision Trainee
  • Robotics Research Assistant
  • AI & Robotics Entrepreneur


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Course Syllabus

Module 1 – Introduction to Robotics

  • Introduction to Robotics
  • History and Evolution of Robots
  • Types of Robots
  • Applications of Robotics
  • Components of a Robot
  • Sensors, Actuators and Controllers
  • Robot Movement and Control
  • Robotics Safety

Module 2 – Electronics Fundamentals

  • Basic Electrical Concepts
  • Voltage, Current and Resistance
  • Ohm's Law
  • AC and DC
  • Electronic Components
  • Resistors, Capacitors and Diodes
  • LEDs and Switches
  • Breadboard Fundamentals
  • Basic Circuit Design

Module 3 – Microcontrollers & Embedded Systems

  • Introduction to Microcontrollers
  • Arduino Fundamentals
  • Microcontroller Architecture
  • Digital and Analog Pins
  • Input and Output
  • Arduino IDE
  • Program Uploading
  • Serial Monitor
  • Basic Embedded Programming

Module 4 – C/C++ Programming for Robotics

  • Programming Fundamentals
  • Variables and Data Types
  • Operators
  • Conditional Statements
  • Loops
  • Functions
  • Arrays
  • Basic C/C++ Programming
  • Robotics Programming Concepts

Module 5 – Sensors in Robotics

  • Introduction to Sensors
  • IR Sensors
  • Ultrasonic Sensors
  • LDR Sensors
  • Temperature Sensors
  • Humidity Sensors
  • Touch and Proximity Sensors
  • Sensor Interfacing
  • Sensor Data Collection

Module 6 – Motors & Actuators

  • Introduction to Motors
  • DC Motors
  • Servo Motors
  • Stepper Motors
  • Motor Drivers
  • PWM Control
  • Speed and Direction Control
  • Actuator Applications
  • Motor Interfacing

Module 7 – Basic Robot Building

  • Robot Chassis
  • Mechanical Components
  • Wheels and Gears
  • Motor Assembly
  • Battery and Power Supply
  • Controller Integration
  • Sensor Integration
  • Robot Wiring
  • Basic Robot Testing

Module 8 – Mobile Robotics

  • Introduction to Mobile Robots
  • Line Following Robots
  • Obstacle Avoiding Robots
  • Bluetooth-Controlled Robots
  • Remote-Controlled Robots
  • Sensor-Based Navigation
  • Motor Control
  • Robot Movement Algorithms

Module 9 – IoT & Connected Robotics

  • Introduction to IoT
  • IoT in Robotics
  • Wi-Fi and Bluetooth Communication
  • ESP32/ESP8266 Fundamentals
  • Connecting Robots to the Internet
  • Remote Monitoring
  • Cloud-Based Data
  • IoT-Based Robot Applications

Module 10 – Introduction to Artificial Intelligence

  • Introduction to AI
  • AI vs Traditional Programming
  • Machine Learning Basics
  • Deep Learning Introduction
  • Computer Vision
  • Natural Language Processing
  • AI Applications in Robotics
  • Intelligent Decision Making

Module 11 – Machine Learning for Robotics

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Training Data
  • Features and Labels
  • Model Training Concepts
  • Prediction and Classification
  • Machine Learning Applications in Robotics

Module 12 – Computer Vision

  • Introduction to Computer Vision
  • Image Processing Basics
  • Digital Images
  • Object Detection Concepts
  • Image Classification
  • Color Detection
  • Shape Detection
  • Camera Integration
  • Vision-Based Robot Applications

Module 13 – Python for Robotics & AI

  • Python Fundamentals
  • Variables and Data Types
  • Conditions and Loops
  • Functions
  • Lists and Dictionaries
  • Libraries and Modules
  • NumPy Basics
  • OpenCV Introduction
  • Python-Based Robot Control

Module 14 – AI-Based Robot Control

  • Intelligent Robot Control
  • Sensor Data Processing
  • Decision-Making Systems
  • AI-Based Navigation
  • Object Recognition
  • Voice-Based Robot Control
  • Autonomous Movement
  • Smart Robot Behaviour

Module 15 – Robotics with Computer Vision & AI

  • Camera-Based Robotics
  • Object Detection
  • Face Detection Concepts
  • Color and Shape Recognition
  • Tracking Objects
  • Vision-Based Navigation
  • AI-Based Obstacle Detection
  • Smart Surveillance Applications

Module 16 – Generative AI & Robotics

  • Introduction to Generative AI
  • AI Assistants for Robotics
  • Prompt Engineering Basics
  • Using AI for Robot Programming
  • AI-Assisted Code Generation
  • Natural Language Robot Commands
  • AI-Based Documentation
  • Generative AI Applications in Robotics

Module 17 – Advanced Robotics Concepts

  • Autonomous Robots
  • Robotic Arm Fundamentals
  • Servo-Based Robotic Arms
  • Pick-and-Place Applications
  • Automation Concepts
  • Human-Robot Interaction
  • Smart Manufacturing
  • Industrial Robotics Overview

Module 18 – Robotics Simulation & Development

  • Introduction to Robotics Simulation
  • Virtual Robot Development
  • Simulation Concepts
  • Robot Movement Simulation
  • Sensor Simulation
  • Testing Robot Logic
  • Debugging Robot Programs
  • Introduction to ROS Concepts

Module 19 – Practical Robotics Projects

Students will work on practical projects such as:

  • Line Following Robot
  • Obstacle Avoiding Robot
  • Bluetooth-Controlled Robot
  • Smart Home Automation Robot
  • Voice-Controlled Robot
  • Object Detection Robot
  • AI-Based Surveillance Robot
  • Automatic Door System
  • Smart Delivery Robot
  • Robotic Arm Prototype

Module 20 – Final AI Robotics Project

  • Project Planning
  • Hardware Selection
  • Circuit Design
  • Sensor Integration
  • Programming
  • AI Model/Application Integration
  • Robot Testing
  • Debugging and Optimization
  • Project Documentation
  • Final Project Demonstration


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