Course Overview

The Robotics Operating Systems Master Program is a practical, career-oriented course designed to give you expertise in building and controlling robots using ROS. You’ll learn how to integrate sensors, actuators, and AI into robotic systems, simulate robotics environments, and develop autonomous solutions for drones, robotic arms, and mobile robots.

What You’ll Learn

  • Introduction to Robotics & ROS – Fundamentals of robotics, ROS concepts, and architecture
  • ROS Basics – Nodes, topics, services, messages, and launch files
  • ROS Tools & Packages – rviz, rqt, tf, URDF, and parameter servers
  • Simulation Environments – Gazebo & PyBullet for robotic simulation
  • Robotics Control – Kinematics, motion planning, and path navigation
  • Computer Vision with ROS – OpenCV integration for robotic vision and perception
  • ROS for Mobile Robots & Drones – Navigation stack, SLAM, and autonomous exploration
  • ROS-Industrial – Application of ROS in automation and manufacturing
  • Integration with AI & ML – Using TensorFlow/PyTorch with ROS for intelligent robots
  • Capstone Projects – Building and simulating real-world robotic applications

Who Should Enroll

  • Students & graduates aiming for careers in robotics, AI, and automation
  • Robotics enthusiasts & hobbyists looking to master ROS development
  • Engineers from electronics, mechanical, mechatronics, or computer science backgrounds
  • Professionals in robotics research, industrial automation, or drone technology

Why Choose This Program?

  • Expert Mentors – Trainers with hands-on experience in robotics & ROS projects
  • Practical Curriculum – Learn by building real robotic applications & simulations
  • Portfolio Development – Publish ROS projects, GitHub repositories, and demos
  • Career Support – Placement guidance, mock interviews, and project mentorship
  • Flexible Learning – Weekday, weekend & fast-track scheduling options

Course Duration

3–5 months

Tools & Technologies Covered

  • ROS Frameworks – ROS 1 & ROS 2
  • Simulation Tools – Gazebo, PyBullet, Webots
  • Programming – Python & C++ for robotics
  • Computer Vision & AI – OpenCV, TensorFlow
  • Hardware Integration – Raspberry Pi, Arduino, TurtleBot
  • Version Control – Git & GitHub

Certification

Robotics Operating Systems (ROS) Master Certificate – Proof of your ROS and robotics expertise