Become an
Advanced Drone Dev Engineer
Build Autonomous & AI-Powered UAV Systems
A 3-month advanced drone engineering program focused on AI, autonomy, flight firmware, vision systems, and DGCA-aligned operations. Designed for learners who want deep technical mastery and industry-grade expertise.
Course Overview
The Advanced Drone Dev Engineer with AI & DGCA Licence program is an intensive 3-month technical course designed to train professionals in autonomous UAV systems, AI-based navigation, drone firmware, computer vision, and commercial drone operations.
This program goes beyond basic drone assembly and focuses on PX4 / ArduPilot firmware, MAVLink communication, AI vision, SLAM, multi-drone coordination, payload systems, and real-world industry deployment scenarios.
AI-Powered Drone Systems
Vision-based navigation, object detection, SLAM, and autonomy using Python
Firmware & Flight Software
PX4, ArduPilot, MAVLink, GCS tools, tuning, and flight testing
Autonomous & Multi-Drone Operations
Waypoints, obstacle avoidance, swarming, and mission planning
Why Should You Take This Course?
Build deep technical expertise and become industry-ready in drone engineering
Rapidly Growing Industry
UAV and drone engineering is one of the fastest-growing tech sectors with demand across defense, agriculture, logistics, and AI.
High-Paying Engineering Roles
Drone engineers earn ₹6–15 LPA with strong growth in R&D, automation, and AI-integrated UAV systems.
Multiple Technical Career Paths
Work as UAV design engineer, flight control engineer, AI drone developer, or start your own drone startup.
DGCA & Regulatory Knowledge
Learn airspace rules, certifications, and compliance essential for legal drone development and operations in India.
Beginner Friendly, Industry Ready
Designed for students and professionals with no prior drone experience—concepts start from fundamentals.
Advanced & Future Technologies
Work on AI-based navigation, computer vision, autonomous flight systems, and smart UAV architectures.
Industry Exposure & Networking
Get exposure to real-world drone projects, industry tools, and connect with professionals in the UAV ecosystem.
Proven, Practical Curriculum
Curriculum designed by drone engineers covering hardware, firmware, AI, and real-time flight systems.
Course Curriculum
Step-by-step engineering-focused drone development training
Module 1: Introduction to Drone Technology
- History and evolution of drones
- Types of drones and real-world applications
- Core components of a drone system
- Current drone industry landscape
- Future trends in UAV technology
Module 2: Drone Frames
- Mechanical Frame Design Principles
- Frame Materials Selection Criteria
- Design Optimization Strategies
- Manufacturing Considerations
Module 3: Propulsion Systems
- Motor Terminologies, principles and Selection
- Electronic Speed Controllers (ESCs)
- Propeller Design and Selection
- System Integration and Optimization
Module 4: Power System & Battery Design
- Battery Terminologies with respect to uav’s
- Power Budgeting
- Battery Configuration and Pack Designing
- Battery Management Systems concepts
- Charger types, charging safety &Charging mechanisms
Module 5: Sensor Integration
- Inertial Measurement Unit (IMU) Systems
- Barometric Pressure Sensors
- Compass and Magnetometer Systems
Module 6: GPS THEORY
- Geo-positioning concepts, HDOP, VDOP, clock error calculations
- Trilateration vs triangulation in GPS signals
- GNSS errors, RTK mechanisms, GNSS constellations
Module 7: Communication Systems and Telemetry
- Radio Frequency Communication Fundamentals, types, and comparison
- Telemetry and Data Transmission
- Video and Imaging Systems
- Internet Integration and Connectivity
- Security and Anti-Jamming Technologies
Module 8: PID Control Theory for Flight Control Systems
- PID Control Theory Fundamentals
- PID Tuning for Flight Control
- Practical Implementation Considerations
- Troubleshooting Common Issues
- Safety and Certification Considerations
Module 9: Attitude Estimation and Sensor Fusion for Flight Control Systems
- Introduction to Attitude Estimation
- Coordinate Systems and Reference Frames
- Inertial Sensors and Measurement Principles
- Sensor Fusion Fundamentals
- Practical Implementation Considerations
- Performance Evaluation and Testing
Module 10: Flight Modes and Stabilization Systems
- Fundamental Control Modes
- Autopilot Systems and Modes
- Fly-by-Wire Control Systems
- Stability Augmentation Design
- Mode Management and Logic
- Flight Phase-Specific Modes
- System Integration and Architecture
Module 11: Autonomous Navigation Systems
- GPS-Based Navigation and Waypoint Systems
- Obstacle Detection and Avoidance Techniques
- Path Planning Algorithms for UAVs
- Indoor Navigation and Positioning Systems
- Vision-Based Navigation Methods
Module 12: Specialized Payload Systems and Regulations
- Gimbal Systems and Camera Stabilization
- Delivery and Release Mechanisms
- Sensor Payloads for Data Collection, thermal and multispectral imaging
- Spraying and Precision Application Systems
- Payload Integration with Flight Systems
- Custom Payload Development for Special task
Module 13: Drone Assembly and Flight onsite Practical
- Prepare and Mount the Motors
- Install and Configure ESCs
- Mount Flight Controller and Basic Wiring
- Install FlySky FSi6 Receiver and Radio Setup
- Software Configuration and Motor Testing
- Final Assembly and Pre-Flight Checks
Module 14: Regulations and Operations
- Airspace Regulations and Classification
- Certification and Registration Requirements
- Flight Planning and Risk Assessment
- Remote ID and Tracking Compliance
- Privacy and Security Considerations
- Commercial Operations Management
Module 15: Drone Firmware and Software
- Open-Source Autopilot Systems (PX4, ArduPilot)
- MAVLink Protocol and Communication Standards
- Ground Control Station Software
- Firmware Configuration and Customization
- Python Integration for Drone Control
- Flight Testing and Parameter Tuning
Module 16: Autonomous Navigation Systems
- GPS-Based Navigation and Waypoint Systems
- Obstacle Detection and Avoidance Techniques
- Path Planning Algorithms for UAVs
- Indoor Navigation and Positioning Systems
- Vision-Based Navigation Methods
- Multi-Drone Coordination and Swarming
Module 17: Drone Vision and Perception
- Camera Systems and Integration
- Computer Vision for Drones using Python
- Object Detection and Tracking from UAVs
- SLAM (Simultaneous Localization and Mapping)
- Depth Perception and 3D Environment Mapping
- Thermal and Multispectral Imaging Systems
Module 18: Data Management and Analysis
- Telemetry Data Extraction and Flight Log Analysis
- Real-Time Data Transmission Systems
- Photogrammetry and 3D Model Generation
- Mission Data Analysis using Python
Module 19: Advanced Drone Development
- Customised Drone Fabrication
- Optimization of Drones for Long-Range Missions
- Specialized Drone Development (Racing, Agriculture, Inspection)
- Advanced Autonomous Features Implementation
- Integration with IoT and Smart Systems
- Industry-Specific Application Development
What You’ll Receive
A structured learning experience designed to build strong fundamentals, hands-on capability, and industry readiness in drone engineering.
Get Advanced Certified in Drone Engineering & Autonomous Systems
This certification validates advanced expertise in AI-powered drones, autonomous navigation, flight firmware, and industry-ready UAV systems.
Certification Benefits
Industry-Recognized Skill Validation
Demonstrates your hands-on expertise in drone engineering systems
Career & Resume Advantage
Strengthens your profile for R&D roles, startups, and UAV companies
Proof of Practical Training
Validates real-world experience in assembly, testing, and configuration
Lifetime Validity
Certification remains valid and relevant throughout your career
Meet Our Mentors
Learn from industry experts and certified professionals
Ankit Mandal
R&D Engineer
With 5 years experience in drone technology, currently working as R&D engineer at Skyyskill, Postgraduate in Remote Sensing & GIS from BIT Mesra, Ranchi. With project experience like Crowd detection drone, Gas leakage sensing drone, NDT inspection drones. Etc
Prerequisites
Age Requirement
Must be at least 18 years old to enroll in this course
Education
Minimum 10th grade pass (for basic course)
Medical Fitness
Basic medical fitness certificate required for DGCA exam
Equipment
No need to own a drone - all equipment provided during training
What's Included
Study Materials
Comprehensive e-books, video tutorials, and reference guides
Drone Access
Train with professional DJI drones worth ₹2-5 lakhs
Meals & Refreshments
Lunch and snacks provided during training days
Digital Sky Registration
Complete guidance for Digital Sky platform registration
Ready to Become a Drone Development Engineer?
Join our industry-oriented drone engineering program and gain hands-on experience in drone design, control systems, autonomy, and real-world deployment.
- Hands-on drone build & testing
- Industry-ready technical skills
- Expert mentors & guided projects
- Certificate of completion
₹41,999 + GST
Includes advanced labs • Accommodation extra
Limited seats available • Batch starts soon
Frequently Asked Questions
Clear answers to the most common questions about the program
