Become a Robotics Engineer

Become a Robotics Engineer

Full Technical Course — From Robotics Fundamentals to Intelligent Autonomous Systems

Step into the world of Robotics Engineering and learn how software, electronics, mechanics and intelligent algorithms come together to create real robotic systems.

This comprehensive program is designed to build a strong foundation in robot programming, embedded systems, sensors, actuators, control systems, ROS/ROS 2, computer vision and autonomous robotics. The course connects theory with practical applications so learners understand not only what robotics technologies do, but how they work together in real systems.

Original price was: ₹8,999.00.Current price is: ₹6,999.00.

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Description

What You’ll Learn

  • Robotics Fundamentals — Understand robot architecture, types of robots, degrees of freedom, coordinate systems and core robotics concepts.
  • Programming for Robotics — Build a strong foundation in C/C++ and Python for developing robotic applications.
  • Electronics & Embedded Systems — Learn microcontrollers, processors, GPIO, PWM, ADC and hardware-software interaction.
  • Sensors & Actuators — Work with cameras, IMUs, ultrasonic sensors, encoders, LiDAR, motors and servo systems.
  • Robot Communication — Understand UART, SPI, I²C, CAN, Ethernet and communication between robotic components.
  • Robot Operating System — ROS & ROS 2 — Learn nodes, topics, services, actions, packages, launch files and distributed robotic applications.
  • Robot Kinematics — Understand coordinate transformations, forward and inverse kinematics and robot motion.
  • Control Systems — Explore feedback control, PID controllers, motor control and motion-control fundamentals.
  • Computer Vision & Perception — Learn how robots use cameras and sensors to understand their environment.
  • Navigation & Autonomous Systems — Introduction to localization, mapping, path planning, SLAM and autonomous navigation.
  • Embedded Linux for Robotics — Understand Linux-based robotic platforms, processes, networking and development environments.
  • AI for Robotics — Introduction to machine learning, intelligent perception and decision-making in modern robotic systems.
  • Hands-on Projects — Apply concepts by designing and programming practical robotic applications.
  • Interview & Career Preparation — Review important technical concepts commonly discussed in robotics and embedded-software interviews.