You should have basic Python programming skills and some familiarity with electronics or embedded systems concepts. A foundational understanding of physics and linear algebra is helpful but not strictly required, as the course covers relevant theory as it applies to drone systems.

The curriculum spans drone hardware design (airframes, propulsion, power systems), AI-powered flight control, sensor fusion, computer vision for object detection and tracking, autonomous navigation and path planning, deep learning for obstacle avoidance, drone swarm coordination, edge computing deployment on platforms like NVIDIA Jetson and Raspberry Pi, and industrial drone applications such as inspection and surveying.

The program runs for 16 weeks. You should expect to invest approximately 12-15 hours per week, including video lectures, hands-on labs, simulation exercises, and capstone project work. Some weeks involving hardware integration or project milestones may require additional time.

The program is heavily project-based. You will build and test drone systems in simulation using Gazebo and PX4 SITL, write real flight control and computer vision code, deploy AI models on edge hardware, and complete three major industry-relevant projects including a precision agriculture drone, a search and rescue drone, and a synchronized swarm light show.

Graduates will be qualified for roles such as Drone Development Engineer, Autonomous Systems Architect, Robotics Software Engineer, and Drone Operations Manager. The combination of AI, robotics, and aerospace skills is in high demand across industries including agriculture, defense, logistics, infrastructure inspection, and entertainment.

You will work extensively with Python, ROS 2, PX4 Autopilot, Gazebo simulator, OpenCV, TensorFlow/PyTorch for deep learning, MAVLink protocol, QGroundControl, and edge computing platforms including NVIDIA Jetson and Raspberry Pi. You will also gain experience with flight controllers like Pixhawk and data analysis libraries such as NumPy and Matplotlib.

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 Drone 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.