Autonomous taxi drone course
About our
The Autonomous Taxi Drones course focuses on the development and application of unmanned aerial vehicle (UAV) technology for passenger transport. It covers key areas such as autonomy, artificial intelligence (AI), GPS navigation, and safety, including air traffic management and current legislation in the sector. electronics, aerodynamics, and electric propulsion, essential for the design and operation of these vehicles, are explored.
The course offers hands-on simulation experience, including flight training and the use of specific software. The challenges of integration into urban airspace will be analyzed, as well as the infrastructure necessary for the deployment of taxi drones. The program trains participants to perform roles in the design, operation, maintenance, and fleet management of taxi drones, driving the advancement of urban air mobility.
Autonomous taxi drone course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
599 $
Competencies and results
What you will learn
1. Optimization of Autonomous Flight Systems and Urban Air Mobility
- Master the principles of advanced aerodynamics for the design and control of unmanned aerial vehicles (UAVs) and urban air mobility (UAM) systems.
- Study route planning algorithms and autonomous navigation, including air traffic management and obstacle avoidance.
- Understand the electric propulsion systems and battery technologies used in UAM, optimizing energy efficiency and flight endurance.
- Apply artificial intelligence (AI) and machine learning techniques for flight control, anomaly detection, and system performance improvement.
- Evaluate the safety, regulatory, and infrastructure aspects required for the implementation of urban air mobility.
- Use simulation and modeling tools for the design, analysis, and validation of systems.
- Analyze the sensors, instrumentation, and communications used in UAVs and UAMs, including GPS, IMU, and data link systems.
- Explore future trends in the development of urban air mobility and the impact of these technologies on society.
- Manage the integration of autonomous flight systems into existing airspace and address the challenges of public acceptance.
- Design and optimize aircraft structures, including material selection, aerodynamics, and control systems.
of autonomous flight.
2. Advanced Design of Taxi Drones: Aerodynamics, Navigation and Urban Deployment
- Master the principles of advanced aerodynamics applied to taxi drones, including lift, drag, and efficiency.
- Understand and apply the concepts of rotor aerodynamics, essential for the design and operation of vertical takeoff and landing (VTOL) drones.
- Design state-of-the-art flight navigation and control systems, integrating GPS, IMU, sensors, and predictive control algorithms.
- Optimize the structural design of taxi drones to minimize weight, maximize strength, and ensure safety in urban environments.
- Study and apply urban deployment techniques, including route planning, air traffic management, and regulatory compliance.
- Implement numerical simulation methods (CFD and FEA) to predict drone behavior aerodynamic and structural aspects of taxi drones.
- Analyze flap–lag–torsion couplings, whirl flutter and fatigue.
- Size laminates in composites, unions and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Evaluation of the Integration of Taxi Drones in Complex Urban Environments
4. Evaluation of Drone Taxi Integration in Complex Urban Environments
- Understand the challenges and opportunities of integrating drone taxis in cities.
- Evaluate the impact of existing urban infrastructure on drone operations.
- Identify the critical factors for the safety and efficiency of urban air transport.
- Analyze current and future regulations and policies related to drone taxis.
- Study air traffic management systems and their applicability to drones.
- Evaluate the necessary communication, navigation, and surveillance technologies.
- Analyze the economic and market aspects of drone taxi services.
- Develop simulation scenarios for risk assessment and route optimization.
- Analyze the environmental and social implications of implementing drone taxis.
- Study the solutions
- Technological solutions for noise mitigation and emissions reduction.
- Evaluate the interaction between drone taxis and other modes of urban transport.
- Analyze the cybersecurity of drone systems and data protection.
- Design strategies for public acceptance and citizen participation.
- Study the design of takeoff and landing stations (vertiports) and their urban integration.
- Evaluate the viability of different business models for drone taxi services.
5. Propulsion and Control Engineering for Autonomous Air Taxis
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Master the principles of propulsion engineering, including the design and analysis of electric and alternative fuel propulsion systems, optimized for efficiency and performance in autonomous air taxis.
- Analyze and mitigate the risks associated with aeroelasticity, including understanding flap-lag-torsion couplings, whirl flutter, and the study of structural fatigue in critical components.
- Apply composite material design techniques, dimensioning laminates in composites, and designing structural and bonded joints using finite element (FE) analysis tools.
- Learn about aviation regulations and standards, including the certification of unmanned aerial vehicles and understanding the legal and safety aspects associated with autonomous air taxi operations.
Understand advanced control systems, from the design of flight control algorithms to the integration of sensors and actuators, with a focus on the stability, maneuverability, and safety of unmanned aerial vehicles.
Implement structural integrity assessment and management methodologies, including the design of damage tolerance systems and the application of non-destructive testing (NDT) such as ultrasonic testing (UT), radiography (RT), and thermography.
Study aspects of systems integration, including power management, thermal management, and the integration of avionics and communications systems, ensuring the interoperability and reliability of autonomous air taxis.
6. Simulation and Evaluation of Propeller Performance in Aerial Drones
6. Simulation and Performance Evaluation of Propellers in Aerial Drones
- Understand and apply numerical simulation methods for the analysis of drone propellers, including airflow modeling and aerodynamic forces.
- Evaluate propeller performance by simulating key parameters such as thrust, efficiency, and energy consumption under various flight conditions.
- Master the use of specialized software for propeller simulation and analysis, interpreting the results and optimizing the design for superior performance.
- Study the factors that influence propeller design, such as blade shape, airfoil, number of blades, and angle of attack.
- Analyze the effects of rotational speed, air density, and other environmental parameters on propeller performance.
- Investigate propeller performance evaluation techniques for different types of drones, including Multirotors, fixed-wing, and hybrid drones.
Learn to optimize propeller design for different drone applications, considering aspects such as flight autonomy, payload capacity, and maneuverability.
Explore the latest trends in propeller design and simulation, including the use of composite materials and advanced manufacturing technologies.
Apply the acquired knowledge in practical propeller simulation and analysis projects, developing problem-solving and decision-making skills.
Who this program is for:
Autonomous taxi drone course
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals in OEM rotorcraft/eVTOL, MRO, consulting, and technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended requirements: foundation in aerodynamics and control and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Introduction to the Optimization of Autonomous Flight Systems and Urban Air Mobility
1.2 Aerodynamics and Rotor Design: Fundamental Principles
1.3 Navigation and Control: Guidance and Stability Systems
1.4 Urban Deployment: Route Planning and Airspace Management
1.5 Legislation and Regulations: Current Regulatory Framework
1.6 Electric Motors: Efficiency and Performance
1.7 Integration into Urban Infrastructure: Vertiports and Charging Stations
1.8 Cybersecurity: Data Protection and Control Systems
1.9 Sustainability: Environmental and Social Impact
1.10 Case Studies: Analysis of Successful Projects
2.2 Optimization of Autonomous Flight Systems and Urban Air Mobility
2.2 Advanced Design of Taxi Drones: Aerodynamics, Navigation, and Urban Deployment
2.3 Comprehensive Analysis of the Design and Operation of Autonomous Taxi Drones
2.4 Evaluation of the Integration of Taxi Drones in Complex Urban Environments
2.5 Propulsion and Control Engineering for Autonomous Air Taxis
2.6 Simulation and Evaluation of Propeller Performance in Aerial Drones
2.7 Development of Strategies for Autonomous Urban Air Mobility with Drones
2.8 Analysis and Optimization of the Aerodynamic Performance of Propulsion Systems in Taxi Drones
3.3 Introduction to Urban Air Mobility (UAM) with Drones
3.2 Types of Drones and Their Applications in UAM
3.3 Key Components of a Drone System
3.4 Emerging Technologies in UAM
3.5 Regulatory Framework and Safety Standards
3.6 Challenges and Opportunities in the Development of UAM
3.7 The Future of Urban Air Mobility
3.8 Case Studies and Pilot Projects
3.9 Socioeconomic Impact of UAM
3.30 Technological Trends in the Sector
2.3 Drone Taxi Design: Fundamental Concepts
2.2 Aerodynamic Principles Applied to Drones
2.3 Material Selection and Manufacturing
2.4 Propulsion Systems and Energy Efficiency
2.5 Structural Design and Strength
2.6 Navigation and Control Systems Flight
2.7 Human-Machine Interface (HMI) Design
2.8 Specific Applications of Taxi Drones
2.9 Design for Maintainability and Safety
2.30 Design and Certification Standards
3.3 Feasibility Analysis of Taxi Drones
3.2 Operational Performance Evaluation
3.3 Air Traffic Management (UTM) Systems
3.4 Risk Analysis and Mitigation
3.5 Route Optimization and Flight Planning
3.6 Operations Modeling and Simulation
3.7 Cost-Benefit Analysis (CBA)
3.8 Environmental Impact and Sustainability
3.9 Legal and Liability Aspects
3.30 Case Studies and Best Practices
4.3 Integration into Urban Airspace
4.2 Vertiport and Infrastructure Design
4.3 Noise and Airspace Management Pollution
4.4 Impact on Land Transportation
4.5 Public Safety Considerations
4.6 Social and Acceptance Aspects
4.7 Development of Urban Simulation Models
4.8 Urban Planning and Land Use Management
4.9 Case Studies of Successful Integration
4.30 Challenges and Solutions for Integration
5.3 Principles of Electric Propulsion
5.2 Electric Motors and Controllers
5.3 Battery System Design
5.4 Battery Management Systems (BMS)
5.5 Propeller and Rotation Design
5.6 Flight Control (FC) Systems
5.7 Sensors and Actuators
5.8 Control Software and Algorithms
5.9 System Testing and Validation
5.30 Trends in Propulsion Engineering
6.3 Simulation Fundamentals CFD
6.2 Propeller Design and Configuration
6.3 Flow and Interaction Modeling
6.4 Simulation Tools and Software
6.5 Results Analysis and Visualization
6.6 Propeller Design Optimization
6.7 Aerodynamic Performance Evaluation
6.8 Comparison of Different Designs
6.9 Experimental Validation of Results
6.30 Simulation Applications in Design
7.3 Flight Planning Strategies
7.2 Navigation Systems and GNSS
7.3 Obstacle Detection and Avoidance (ADA)
7.4 Air Traffic Control (ATC) for Drones
7.5 Communication and Data Link
7.6 Cybersecurity and Data Protection
7.7 Remote Fleet Management
7.8 Security and Contingency Protocols
7.9 Implementing UAM in Real-World Environments
7.30 The Future of Autonomous Air Mobility
8.3 Aerodynamic Analysis of Components
8.2 Fuselage Design Optimization
8.3 Propeller and Engine Optimization
8.4 Drag Reduction
8.5 Energy Efficiency Improvement
8.6 Flap and Aileron System Design
8.7 Stability and Control Analysis
8.8 Flow Simulation and Analysis
8.9 Experimental Validation
8.30 Aerodynamic Design for Optimal Performance
4.4 Modeling Autonomous Flight Systems and Urban Air Mobility
4.2 Design Principles of Drone Taxis: Aerodynamics, Navigation, and Urban Deployment
4.3 Evaluation of the Design and Operation of Autonomous Drone Taxis
4.4 Integration of Drone Taxis into Complex Urban Environments
4.5 Propulsion and Control Engineering for Autonomous Air Taxis
4.6 Simulation and Evaluation of Propeller Performance in Aerial Drones
4.7 Strategies for Autonomous Urban Air Mobility with Drones
4.8 Analysis and Optimization of the Aerodynamic Performance of Propulsion Systems in Drone Taxis
5.5 Introduction to UAVs and UAMs: Key Concepts
5.5 Navigation and Control Systems: Fundamentals
5.3 Sensors and Perception: Machine Vision, LiDAR
5.4 Communication and Data Link
5.5 Drone Structure and Design: Materials and Manufacturing
5.6 Legislation and Regulations Applicable to UAVs
5.7 Cybersecurity in UAV Systems
5.8 Autonomous Flight Architectures
5.9 Mission and Trajectory Planning
5.50 Case Studies: Current UAV Applications
5.5 Principles of Aerodynamics Applied to Taxi Drones
5.5 Wing and Fuselage Design for Efficiency and Stability
5.3 Airfoil Selection
5.4 Rotor and Propeller Design
5.5 Aerodynamic Modeling and Simulation (CFD)
5.6 Aerodynamics in Vertical Flight and Transition
5.7 Aerodynamic Control System Design
5.8 Stability and Controllability Analysis
5.9 Aerodynamic Design Optimization
5.50 Case Studies: Design of Successful Taxi Drones
3.5 Architecture and Components of Autonomous Taxi Drones
3.5 Flight Control System (FCS) Design
3.3 Power Management Systems and Batteries
3.4 Redundant Sensors and Backup Systems
3.5 Reliability, Availability, and Maintainability (RAM) Analysis
3.6 Design for Safety and Risk Mitigation
3.7 Drone Behavior Modeling and Simulation
3.8 Route Planning and Air Traffic Management
3.9 Design Considerations for Autonomous Operation
3.50 Case Studies: Analysis of Current Designs and Operations
4.5 Environmental and Social Impact Assessment
4.5 Risk and Safety Analysis in Urban Environments
4.3 Integration with Existing Infrastructure
4.4 Design of Vertiports and Landing Areas
4.5 Noise and Acoustic Pollution Management
4.6 Urban Regulations and Standards
4.7 Modeling and Simulation of Urban Integration
4.8 Analysis of Public Perception and Social Acceptance
4.9 Risk Mitigation Strategies
4.50 Case Studies: Analysis of Integration in Specific Cities
5.5 eVTOL and UAM: Electric Propulsion, Multiple Rotors
5.5 Emerging Certification Requirements (SC-VTOL, Special Conditions)
5.3 Energy and Thermal in E-Propulsion (Batteries/Inverters)
5.4 Design for Maintainability and Modular Swaps
5.5 LCA/LCC in Rotorcraft and eVTOL (Footprint and Cost)
5.6 Operations & Vertiports: Airspace Integration
5.7 Data & Digital thread: MBSE/PLM for change control
5.8 Tech risk and readiness: TRL/CRL/SRL
5.9 IP, certifications, and time-to-market
5.50 Case clinic: go/no-go with risk matrix
6.5 Blade theory and propeller operation
6.5 Propeller design for different applications
6.3 Propeller simulation software
6.4 Propeller performance analysis
6.5 Effects of propeller-flow interaction
6.6 Propeller design optimization
6.7 Performance simulation under different conditions
6.8 Noise and vibration analysis
6.9 Experimental validation of simulation models
6.50 Case studies: Propeller simulation in taxi drones
7.5 Market analysis and trends in UAM
7.5 Business model and strategy development
7.3 Urban air transport route and network design
7.4 Air traffic management and control Circulation
7.5 Safety and Regulatory Considerations
7.6 Infrastructure Design for UAM
7.7 Economic and Financial Feasibility Analysis
7.8 Development of Simulation and Planning Models
7.9 Implementation and Scalability of Operations
7.50 Case Studies: UAM Strategies in Specific Cities
8.5 Modeling and Simulation of Propulsion Systems
8.5 Optimization of Motor and Propeller Design
8.3 Airflow and Efficiency Analysis
8.4 Noise and Vibration Reduction
8.5 Performance Analysis Under Different Conditions
8.6 Design of Control and Energy Management Systems
8.7 Integration of Propulsion Systems into Drone Design
8.8 Optimization of Aerodynamic Performance
8.9 Cost and Life Cycle Analysis
8.50 Case Studies: Propulsion Optimization in Taxi Drones
6.6 Propeller Modeling and Simulation: Fundamental Principles
6.2 Propeller Performance Analysis: Thrust, Power, and Efficiency
6.3 Propeller Design for Aerial Drones: Airfoil Selection
6.4 CFD and FEA Simulation: Tools for Propeller Design
6.5 Propeller Optimization: Noise and Vibration Reduction
6.6 Performance Evaluation Under Different Flight Conditions
6.7 Propeller Material Selection and Manufacturing
6.8 Test Bench Testing and Model Validation
6.9 Impact of Propellers on Drone Energy Efficiency
6.60 Case Studies: Design and Evaluation of Propellers for Specific Drones
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).