Course Overview

The AI & Robotics Engineering Master Program is a career-focused, project-driven course designed to equip you with the knowledge and skills to design, program, and control intelligent robots. You’ll master AI, machine learning, robotics frameworks, and automation tools while working on real-world applications like self-driving vehicles, robotic arms, drones, and humanoid systems.

What You’ll Learn

  • Fundamentals of AI & Robotics – Core concepts of intelligent systems, automation, and robotics
  • Python for AI & Robotics – Programming with libraries like OpenCV, TensorFlow, and ROS (Robot Operating System)
  • Machine Learning & Deep Learning – Neural networks, reinforcement learning, and robotics applications
  • Computer Vision & Image Processing – Object detection, tracking, and visual recognition for robots
  • Robotics Kinematics & Dynamics – Motion planning, path optimization, and control mechanisms
  • ROS & Robotic Simulation – Building, simulating, and deploying robots with ROS & Gazebo
  • Embedded Systems & IoT for Robotics – Integration with sensors, actuators, and IoT platforms
  • Autonomous Systems – Self-driving car models, drones, and industrial automation projects
  • Capstone & Real-Time Projects – End-to-end robotics and AI applications for real-world use cases

Who Should Enroll

  • Students & graduates aspiring to build a career in AI, robotics, and automation
  • Professionals from electronics, mechanical, IT, or computer science backgrounds
  • Enthusiasts passionate about robotics, drones, AI, and autonomous systems
  • Engineers aiming for research & innovation in robotics and AI

Why Choose This Program?

  • Expert Mentors – Learn from AI engineers & robotics professionals
  • Hands-On Curriculum – Real projects with AI-powered robots & simulators
  • Portfolio Development – GitHub projects, simulation models & robotics prototypes
  • Career Support – Resume building, interview prep, and placement guidance
  • Flexible Learning – Weekday, weekend & fast-track batches

Course Duration

6–8 months

Tools & Technologies Covered

  • Programming & AI Libraries – Python, TensorFlow, Keras, OpenCV
  • Robotics Frameworks – ROS, Gazebo, PyBullet
  • Embedded Systems & IoT – Arduino, Raspberry Pi
  • Simulation Tools – MATLAB, Simulink
  • Version Control & Collaboration – Git & GitHub

Certification

AI & Robotics Engineering Master Certificate – Proof of your expertise in AI, robotics, and automation