You should have basic programming skills in Python or C++, a foundational understanding of physics and mathematics (linear algebra, calculus, kinematics), and some familiarity with basic electronics concepts. No prior robotics experience is required, as the curriculum covers ROS 2, sensor integration, and AI techniques from the ground up.

The curriculum covers robot operating system (ROS 2) development, autonomous navigation with SLAM and path planning, computer vision with OpenCV and deep learning, sensor fusion (LiDAR, IMU, cameras), motion planning and control algorithms, AI-driven decision-making with reinforcement learning, embedded systems integration (Jetson Nano, Raspberry Pi, Arduino), and drone autonomy with PX4 Autopilot.

The program is 16 weeks long and is designed for a commitment of approximately 15-20 hours per week. This includes video lectures, hands-on coding exercises, simulation-based labs, and capstone project work. The structured schedule allows working professionals and recent graduates to progress at a manageable pace.

You will complete three major industry-relevant projects: an autonomous warehouse logistics robot using SLAM and sensor fusion, an AI-powered vision-guided robotic arm for pick-and-place tasks, and an autonomous drone for precision agriculture monitoring. All projects involve building systems in simulation using Gazebo and ROS 2, with opportunities to deploy on physical hardware.

Graduates will be prepared for roles such as Robotics Engineer, Autonomous Systems Developer, Drone/UAV Specialist, and Automation and Control Engineer. The program's emphasis on ROS 2, AI perception, and real-world deployment gives you a portfolio of projects that demonstrate production-relevant skills sought by companies in logistics automation, agriculture technology, defense, and advanced manufacturing.

You will gain hands-on experience with Python, ROS 2, Gazebo simulator, OpenCV, TensorFlow, PyTorch, Arduino, Raspberry Pi, Jetson Nano, PX4 Autopilot, and various sensors including LiDAR, IMU, and ultrasonic sensors. These are the same tools widely used in the robotics industry for developing and deploying autonomous systems.

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 AI Autonomous Robotics Development 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.