
ROS-Controlled Car (RC Car)
Learn ROS2 fundamentals through a simulated RC Car: mobility control, sensors, and autonomous basics — an ideal starting point for robotics and autonomous vehicle development.
NEW · Live cohort
⚡ Transform Your Skills — Starts 1st November
Dive into the world of modern robotics with a hands-on course that takes you from the foundations of ROS2 to building and simulating complete robotic systems. Step by step, you’ll learn to program robots, automate their workflows, design and model their structures, visualize real-time data in 3D, and simulate them in realistic environments with Gazebo. Each module is project-driven. Whether you’re aiming to launch a career in robotics, strengthen your engineering background, or simply bring your ideas to life, this course gives you the tools and hands-on experience to make it happen.
A practical path: start with fundamentals to industry-level applications .
This course is structured as a project-driven learning path. You learn each core concept through lessons followed by a practical lab (Galaxium Robotics Platform). Every lesson is paired with live cohort sessions, where you’ll collaborate with peers and instructors to design, simulate, and program robots in real time, ensuring you gain hands-on experience beyond theory.
Build 2 real robots that demonstrate the skills employers care about.
Learn Python, C++, ROS, Gazebo, RViz and more.
Resume-ready projects, interview prep, and a certificate.
Weekly office hours, community workspace, and code reviews for learners.
Why this course
Curriculum and projects shaped by hiring rubrics and real product requirements.
Each concept is introduced just-in-time and immediately applied in a short, graded project.
Work in ROS, simulate in Gazebo, and test in GRP — the exact tools used by teams today.
Get focused feedback on capstone code and design choices in the while learning.
Finish the course with projects and documentation you can show to employers.
Expert guidance from research and industry.
Robotics Director at NextAISense
Dewan Zahid Ahmed has 5+ years of experience in ROS, Gazebo, and control systems. He has worked on surgical robotics at Medtronic, developing control software. As a Master’s scholar at NIT Rourkela, he contributed to ISRO-funded robotic arm automation, mobile robot path planning (published at I-4AM 2024 Conference, IISc Bengaluru), 3D biomedical modeling with AIIMS, and a hybrid electric vehicle project backed by Maruti Suzuki and IndianOil. He also instructs hands-on robotics programs for universities and startups.
Robotics Engineer II at NextAISense
Ashish is a mechanical engineer from NIT Rourkela with 6 years of experience in designing, simulating, and programming intelligent robotic systems. His expertise covers path planning, forward & inverse kinematics, 3D modeling, with a strong foundation in coding. He brings hands-on experience with leading design and engineering tools including AutoCAD, SolidWorks, NX10, and ANSYS. His professional journey includes working at Maruti Suzuki, Danfoss and other robotics companies, where he gained practical industry insights.
Designed for learners who want real robotics experience, not just theory.
Kickstart your robotics journey with starters lessons and simple robot.
Supplement university classes with practical labs and ROS experience.
Engineers looking to upskill in autonomy, ROS, and perception.
What graduates commonly go on to do.
Real students — real results.
"My learning was a truly valuable. It provided significant exposure to the practical applications of tools like ROS and Gazebo, and it deepened my interest in Reinforcement Learning. Performed custom environments creation using RL, which allowed me to learn many new ideas, techniques, and procedures. Overall, it was an incredible learning experience, and I greatly appreciated the mentorship I received whenever I encountered challenges."
Abhirup Choudhary
IIT(ISM) Dhanbad
Modules, lessons and estimated times — transparent and mapped to projects.
What you'll build and your learning.
Learn ROS2 fundamentals through a simulated RC Car: mobility control, sensors, and autonomous basics — an ideal starting point for robotics and autonomous vehicle development.
Master robotic manipulation with a simulated 5-DOF arm featuring gears and tong gripper: explore kinematics, control, and object handling for industrial robotics and automation.
Showcase your achievement with a verifiable certificate.
Complete the capstone and assessments to earn a digital certificate, verifiable and shareable.
Still curious? We got you covered.