You should have basic programming skills in Python or C++, a foundational understanding of linear algebra and physics (kinematics, dynamics), and familiarity with Linux command-line operations. No prior robotics experience is required.

The curriculum covers ROS 2 architecture and programming, SLAM and autonomous navigation, path planning algorithms (A*, RRT), computer vision with OpenCV, sensor fusion (LiDAR, cameras, IMU), motion planning and control, decision-making with behavior trees and state machines, simulation in Gazebo, and embedded hardware integration with Arduino.

You should expect to invest approximately 15-20 hours per week, which includes video lectures, coding exercises, simulation labs, and project work. The hands-on projects are spread across the 6-week duration to reinforce each module's concepts.

You will complete three industry-relevant projects: an autonomous delivery robot with SLAM and path planning, an obstacle-avoidance mobile platform with sensor fusion and behavior trees, and an autonomous surveillance drone with computer vision and real-time tracking. All projects are built using ROS 2 and tested in Gazebo simulation.

Graduates are prepared for roles such as Robotics Engineer, Autonomous Vehicle Developer, Embedded Systems Programmer, and Automation and Control Specialist. The portfolio of three real-world projects and proficiency in industry-standard tools like ROS 2 and Gazebo make you a competitive candidate in the growing autonomous systems job market.

You will work extensively with ROS 2 for robotic system development, Python for programming, Gazebo for simulation and testing, OpenCV for computer vision, Arduino for embedded hardware prototyping, and RViz for robot state visualization. All tools are industry-standard and widely used in professional robotics engineering.

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 Autonomous Robotics Programming Engineer.

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.