
MICRO DEGREE
Autonomous Drone Programming Engineer
Autonomous Drone Programming Engineer
100% LIVE Interactive Classes
Autonomous Drone Programming Engineer

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:27 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
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Reserve your spot today!
Basic Info
Select Offers
Application closes on:27 May 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Available in 4 monthly installments at $138/month
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Curriculum
Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- What is PX4? Overview of architecture and components
- PX4 vs ArduPilot vs ROS – choosing the right stack
- Setting up PX4 development environment on Ubuntu
- Exploring PX4-Autopilot repo and VSCode setup
- Running PX4 Software-In-The-Loop (SITL)
Mentors

20+ Years, Sr. R&D Engineer, Ideaforge

10+ Years, Drone Startup Founder, Ex-Skydio
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic proficiency in Python or C++ programming
Fundamental understanding of physics (kinematics, dynamics) and linear algebra
Familiarity with Linux command-line environments
Outcomes
Build and configure autonomous drone systems using the PX4 Autopilot framework
Implement path planning and waypoint navigation algorithms for autonomous flight missions
Design obstacle avoidance and SLAM pipelines for safe drone operation in complex environments
Develop computer vision applications for real-time object detection and tracking on drones using OpenCV
Integrate ROS 2 with PX4 to enable advanced autonomous behaviors and sensor fusion
Simulate and validate autonomous drone missions in Gazebo before real-world deployment
Build custom flight modes and mission automation workflows using MAVLink protocol
Deploy and field-test autonomous drone solutions for industry applications such as delivery, agriculture, and search and rescue
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Autonomous Delivery Drone System
Design and program an autonomous drone capable of navigating urban waypoints and delivering packages to designated drop-off locations. Integrate PX4 Offboard control with ROS 2 for mission planning and leverage OpenCV-based computer vision for obstacle detection and safe landing zone identification.
Precision Agriculture Surveying Drone
Build a drone system that autonomously surveys agricultural fields to assess crop health using onboard sensors and computer vision pipelines. Implement automated flight patterns in PX4 Gazebo simulation, process multispectral imagery for anomaly detection, and generate actionable field health reports.
Search and Rescue Autonomous Drone
Develop a fully autonomous search and rescue drone platform that navigates unknown terrain, detects human targets using OpenCV-based object detection, and streams real-time video to a ground station. Utilize PX4 failsafe systems, path planning algorithms, and ROS 2 integration to ensure robust and safe operation in emergency scenarios.

for successfully completing the 'Autonomous Drone Programming Engineer' course conducted from 14 Apr 2026 to 26 May 2026
Add a Industry Recognized
Certificate To Your Resume
Industry Recognized
Certificate
Learn the best from the best

Career Advancements
Elevate your career with a respected certificate

Industry Respect
Gain credibility in the field

Networking
Connect with experts and peers

Opportunities
Attract exciting job prospects and promotions


for successfully completing the 'Autonomous Drone Programming Engineer' course conducted from 14 Apr 2026 to 26 May 2026

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Frequently Asked Questions
Everything you need to know about the course
You should have basic proficiency in Python or C++ programming, a fundamental understanding of physics and mathematics (kinematics, linear algebra), and some familiarity with Linux command-line environments. No prior drone programming experience is required.
The curriculum covers PX4 Autopilot configuration, ROS 2 integration, MAVLink communication, path planning and waypoint navigation, SLAM and obstacle avoidance, computer vision with OpenCV for object detection, Gazebo simulation, custom flight mode development, and real-world drone deployment and field testing.
The course runs for 6 weeks and is designed for approximately 10-15 hours of study and hands-on practice per week. This includes video lectures, guided coding exercises, simulation work in Gazebo, and project development time.
You will complete three major projects: an autonomous delivery drone system, a precision agriculture surveying drone, and a search and rescue drone. Each project involves programming in PX4 and ROS 2, testing in Gazebo simulation, and implementing real-world capabilities such as computer vision, path planning, and mission automation.
This course prepares you for roles such as Autonomous Drone Programmer, Drone Software Engineer, and Robotics and Embedded Systems Developer. The drone industry is rapidly growing across sectors like logistics, agriculture, defense, and emergency services, and hands-on experience with PX4, ROS 2, and computer vision is highly sought after by employers.
You will work extensively with PX4 Autopilot for flight control, ROS 2 for robotics middleware, Gazebo for simulation, Python for scripting and automation, OpenCV for computer vision, and MAVLink for drone communication. All tools are open-source and widely used in the drone industry.
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 Drone 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.
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