You should have basic Python programming skills, a foundational understanding of physics and math (linear algebra, calculus), and some familiarity with Linux command-line environments. Prior experience with electronics is helpful but not strictly required, as the program covers hardware fundamentals.

The curriculum spans drone hardware assembly, flight controller programming with PX4 and MAVLink, autonomous navigation with ROS 2, computer vision using OpenCV and YOLO, sensor fusion (GPS, IMU, LiDAR, camera), drone simulation in Gazebo, edge AI deployment on Raspberry Pi and Jetson Nano, swarm coordination, and Generative AI applications for drone data analysis.

The program runs for 24 weeks and typically requires 15-20 hours per week, including live sessions, self-paced modules, hands-on labs, and capstone project work. The schedule is designed to accommodate working professionals while ensuring deep, practical learning.

The program is highly hands-on. You'll work on three industry-relevant capstone projects—including an autonomous search-and-rescue drone, a fleet predictive maintenance system, and a Generative AI inspection platform—alongside weekly labs involving simulation, coding, and real hardware integration.

Graduates are prepared for roles such as Drone Development Engineer, Autonomous Systems Architect, Robotics Software Engineer, Drone Operations Specialist, Drone Simulation and Testing Engineer, and Generative AI Developer for Robotics across industries including aerospace, agriculture, logistics, energy, and infrastructure inspection.

You'll work with Python, ROS 2, PX4 Autopilot, Gazebo, MAVLink, QGroundControl, OpenCV, YOLO, TensorFlow, PyTorch, LangChain, Hugging Face Transformers, Pinecone, FastAPI, Docker, Git, and edge computing platforms including Raspberry Pi and Jetson Nano.

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 Drone Engineer Job Program.

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.