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UAV Instructor Courses

Course Description

Course Title:

Advanced Training Course for Instructors on the Use of Artificial Intelligence in UAV Control Systems

Course Objective:

To enhance the theoretical knowledge and practical skills of instructor-level personnel in applying modern information technologies and artificial intelligence (AI) to the development and management of unmanned aerial vehicle (UAV) systems.

Target Audience:

Current and prospective instructors, UAV operators, trainers, and technical supervisors working in defense, aviation, or technical education sectors.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

On-site instructor-led sessions, practical exercises, self-guided tasks, and final project presentations.

Course Modules:

  • Module 1 – Fundamentals of AI and IT in UAV Control Systems
  • Module 2 – Instructor-Led Simulation and Implementation Projects

Learning Outcomes:

  • Explain the principles and applications of AI in UAV systems
  • Utilize software tools such as ROS and PX4 in UAV training environments
  • Analyze and process data from UAV sensors using AI algorithms
  • Design and conduct UAV training modules
  • Develop and present a functional project prototype using learned methods

Instructor

Kateryna Nesterenko

Kateryna Nesterenko

Within the framework of the cooperation agreement with the State University of Telecommunications (Kyiv, Ukraine) under the academic mobility programs (learning, teaching)

Course Description

Course Title:

Artificial Intelligence in UAV Control Systems

Course Objective:

To provide instructor-level personnel with a comprehensive understanding of how AI technologies can be integrated into UAV control systems for improved decision-making and operational autonomy.

Target Audience:

UAV instructors, AI specialists, defense training personnel, and aerospace engineers.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Instructor-led lectures, programming labs, simulation projects, and peer collaboration sessions.

Course Modules:

  • Module 1 – Machine Learning Basics for UAVs
  • Module 2 – Deep Learning Integration in Flight Control

Learning Outcomes:

  • Identify AI techniques applicable to UAV systems
  • Develop basic ML models for UAV functions
  • Train and evaluate neural networks in simulated environments
  • Apply AI algorithms to real-world UAV use cases
  • Lead training sessions on AI-enhanced UAV operations

Course Description

Course Title:

Sensor Fusion and Data Analysis for UAV Operations

Course Objective:

To equip UAV instructors with practical knowledge and technical skills for implementing sensor fusion and conducting real-time data analysis in unmanned aerial systems.

Target Audience:

UAV instructors, technical operators, and engineers specializing in flight systems and sensor integration.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Practical labs, instructor-led sessions, sensor-based projects, and collaborative analysis tasks.

Course Modules:

  • Module 1 – Fundamentals of Sensor Technologies in UAVs
  • Module 2 – Multisensor Data Integration and Interpretation

Learning Outcomes:

  • Describe the role and types of sensors used in UAVs
  • Apply fusion techniques for GPS, IMU, and camera data
  • Visualize and interpret sensor data using modern tools
  • Integrate multisensor systems into UAV operations
  • Evaluate the performance of fused data in simulated and real conditions

Course Description

Course Title:

Mission Planning and Autonomous Navigation for UAVs

Course Objective:

To develop skills in designing and executing autonomous flight missions using advanced mission planning tools and navigation algorithms.

Target Audience:

UAV instructors, mission planners, defense trainers, and flight control developers.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Interactive workshops, instructor-led briefings, mission simulations, and practical navigation projects.

Course Modules:

  • Module 1 – Principles of UAV Mission Planning
  • Module 2 – Navigation Systems and Autonomy Algorithms

Learning Outcomes:

  • Create UAV missions using planning software
  • Integrate GPS and IMU data for navigation
  • Implement autonomous flight logic
  • Analyze flight performance and path accuracy
  • Supervise mission execution and recovery protocols

Course Description

Course Title:

Simulation-Based Training for UAV Instructors

Course Objective:

To train UAV instructors in using simulation platforms for delivering realistic and repeatable training scenarios to enhance operator competency.

Target Audience:

UAV instructors, flight trainers, and simulation developers working in training centers or defense academies.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Simulator-based exercises, guided workshops, scenario building, and instructor feedback sessions.

Course Modules:

  • Module 1 – Simulation Tools and Technologies
  • Module 2 – Developing and Delivering Training Scenarios

Learning Outcomes:

  • Understand the use of simulation in UAV training
  • Operate flight simulation software for UAVs
  • Design effective simulation-based training modules
  • Assess trainee performance through simulated environments
  • Enhance instructional delivery using simulation data

Course Description

Course Title:

Cybersecurity in UAV Systems

Course Objective:

To train instructors in identifying and mitigating cybersecurity threats related to unmanned aerial vehicle systems and their supporting infrastructure.

Target Audience:

UAV instructors, cybersecurity specialists, system integrators, and technical defense personnel.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Lectures, case studies, threat modeling workshops, and hands-on defense simulations.

Course Modules:

  • Module 1 – UAV Network and Data Security Fundamentals
  • Module 2 – Cyber Threat Analysis and Risk Mitigation

Learning Outcomes:

  • Recognize common cyber threats to UAV operations
  • Implement basic security protocols for UAV systems
  • Conduct risk assessments and simulate attack scenarios
  • Apply encryption and secure communication techniques
  • Educate UAV operators on safe digital practices

Course Description

Course Title:

Edge Computing Applications in UAV Systems

Course Objective:

To introduce instructors to edge computing technologies and their role in processing UAV data locally for faster decision-making and real-time responsiveness.

Target Audience:

UAV instructors, embedded systems engineers, and training coordinators in military or industrial UAV operations.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Instructor-led sessions, IoT lab exercises, case demonstrations, and applied research assignments.

Course Modules:

  • Module 1 – Concepts and Components of Edge Computing
  • Module 2 – Real-Time Data Handling in UAV Systems

Learning Outcomes:

  • Understand the fundamentals of edge computing
  • Configure edge devices for UAV deployment
  • Integrate edge analytics with UAV sensors
  • Deploy AI models on edge platforms
  • Optimize flight performance through edge data processing

Course Description

Course Title:

Instructor Methodology for UAV Training Programs

Course Objective:

To develop pedagogical skills and instructional design strategies for UAV instructors, ensuring effective course delivery and learning engagement.

Target Audience:

UAV instructors, training managers, and instructional designers in technical and defense education.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Pedagogical workshops, teaching simulations, evaluation tasks, and curriculum design labs.

Course Modules:

  • Module 1 – Principles of Instructional Design
  • Module 2 – Effective Teaching and Assessment Practices

Learning Outcomes:

  • Apply modern instructional methods for UAV education
  • Design structured UAV training courses
  • Use assessment tools for evaluating learner progress
  • Engage learners through interactive techniques
  • Continuously improve training practices through feedback

Course Description

Course Title:

Beyond Visual Line of Sight (BVLOS) Operations

Course Objective:

To prepare UAV instructors for advanced training in BVLOS mission planning, risk management, and regulatory compliance.

Target Audience:

Certified UAV instructors, aviation safety officers, and operational planners in defense and commercial sectors.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Advanced scenario workshops, risk assessment labs, and regulatory simulation exercises.

Course Modules:

  • Module 1 – Legal and Technical Framework for BVLOS
  • Module 2 – Mission Safety, Risk, and Contingency Planning

Learning Outcomes:

  • Understand the legal requirements for BVLOS operations
  • Plan and conduct BVLOS missions with risk mitigation
  • Implement communications and tracking technologies
  • Analyze flight data for safety and performance review
  • Develop standard operating procedures for BVLOS training

Course Description

Course Title:

Ethics and Standards in UAV Instruction and Operation

Course Objective:

To instill ethical awareness and regulatory compliance among UAV instructors for the responsible conduct of unmanned aerial operations.

Target Audience:

UAV instructors, program managers, compliance officers, and technical educators in defense and civil aviation sectors.

Course Duration:

Total: 180 hours (6 ECTS credits).

Delivery Mode:

Instructor-led seminars, ethics case studies, international standards analysis, and policy workshops.

Course Modules:

  • Module 1 – Ethical Principles in UAV Usage and Instruction
  • Module 2 – International Standards and Legal Frameworks

Learning Outcomes:

  • Identify ethical issues in UAV applications
  • Understand the responsibilities of UAV instructors
  • Apply ethical frameworks in training and mission planning
  • Interpret and comply with global UAV standards
  • Foster professional conduct in UAV education environments