You should have basic programming experience in Python or C/C++, a foundational understanding of physics and mathematics (linear algebra, calculus, kinematics), and familiarity with basic electronics concepts such as circuits, voltage, and current. No prior robotics experience is required.

The curriculum covers mechanical design and CAD, electronics and sensor integration, control systems (PID and beyond), ROS2 programming, autonomous navigation with SLAM and path planning, computer vision with OpenCV, AI/deep learning for perception, embedded systems programming on Arduino/Raspberry Pi/Jetson Nano, and drone autonomy with PX4 Autopilot.

You should plan to invest approximately 15-20 hours per week, including video lectures, hands-on labs, project work, and mentorship sessions. The program is designed for dedicated learners who can commit consistently over the 24-week duration.

You will complete three major industry-relevant projects: an autonomous mobile robot for warehouse logistics using SLAM and ROS2, a robotic arm system for assembly and inspection tasks with computer vision, and a drone-based precision agriculture monitoring system. Each project involves designing, building, programming, and testing real robotic systems.

Graduates are prepared for roles such as Robotics Engineer, Autonomous Systems Developer, Embedded Systems Engineer, Robotics Researcher, Automation Specialist, and Drone/UAV Operator. The portfolio of hands-on projects and proficiency in ROS2, embedded systems, and AI-driven robotics makes you competitive for positions across manufacturing, logistics, agriculture, and defense industries.

You will work with Python, ROS2, Gazebo simulator, Arduino, Raspberry Pi, Jetson Nano, OpenCV, TensorFlow/PyTorch for deep learning, SolidWorks for CAD, PX4 Autopilot for drone development, and a variety of sensors including LIDAR, cameras, ultrasonic sensors, and IMUs. The program also covers actuators like servo motors, DC motors, and stepper motors.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Robotics Specialization Career Track.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.