Apply now
CourseDefense, Military Engineering & Land Systems Applications open

ISO Standards in AI Applied to UAS Course

Online 300-hour course on ISO standards in AI applied to UAS. 6 modules covering ISO 21384-3 (UAS: operational procedures), ISO/IEC 42001 (AI management systems) and PX4. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Describe the onboard AI functions of unmanned aerial systems.

02

Interpret the ISO standards applicable to UAS.

03

Apply the ISO/IEC AI standards to an embedded system.

04

Analyse the functional safety and assurance of AI components.

05

Implement an AI management system compliant with ISO/IEC 42001.

06

Assess AI risks in UAS operations.

07

Develop an ISO compliance plan for a UAS with AI.

Profile

Who it's for

  • Embedded AI engineer who wants to specialise in ISO Standards in AI Applied to UAS.
  • UAS systems engineer who wants to specialise in ISO Standards in AI Applied to UAS.
  • ISO compliance manager who wants to specialise in ISO Standards in AI Applied to UAS.
  • Functional safety engineer who wants to specialise in ISO Standards in AI Applied to UAS.
  • Auditor of AI management systems who wants to specialise in ISO Standards in AI Applied to UAS.
  • Computer vision engineer who wants to specialise in ISO Standards in AI Applied to UAS.
  • Engineering or science graduates seeking to enter the UAS industry.
Standards & tools

What you'll work with

  • ISO 21384-3 (UAS: operational procedures)
  • ISO/IEC 42001 (AI management systems)
  • ISO/IEC 22989 (AI concepts and terminology)
  • ISO 21384-2 (UAS: product systems)
  • ISO/IEC 23894 (AI risk management)
  • ISO/IEC 23053 (framework for machine learning systems)
  • Implementing Regulation (EU) 2019/947 (UAS operations)
Syllabus

6 modules · 300 h

  1. 1.1Visual perception with neural networks
  2. 1.2Autonomous navigation without GNSS
  3. 1.3Obstacle detection and avoidance
  4. 1.4Trajectory planning with learning
  5. 1.5Recognition of civil targets: inspection and rescue
  6. 1.6Onboard computing: Jetson and FPGA
  7. 1.7Limitations of networks in flight
  8. 1.8Levels of autonomy in UAS
  9. 1.9Safety architectures with AI
  10. 1.10Workshop: identification of AI functions in a UAS
  1. 2.1ISO 21384-1 general requirements
  2. 2.2ISO 21384-2 product components
  3. 2.3ISO 21384-3 operational procedures
  4. 2.4ISO 21384-4 vocabulary
  5. 2.5ISO 23629 on UTM traffic management
  6. 2.6ISO 21895 categorisation of civil UAS
  7. 2.7ISO 24356 on UAS requirements
  8. 2.8ISO/TC 20/SC 16 committee
  9. 2.9Relationship with EN 4709 and EASA
  10. 2.10Practice: compliance matrix with ISO 21384-3
  1. 3.1ISO/IEC 22989 terminology
  2. 3.2ISO/IEC 23053 ML framework
  3. 3.3ISO/IEC 23894 risk management
  4. 3.4ISO/IEC 42001 management system
  5. 3.5ISO/IEC 5338 AI lifecycle
  6. 3.6ISO/IEC 5259 data quality
  7. 3.7ISO/IEC 25059 system quality
  8. 3.8ISO/IEC TR 24027 bias
  9. 3.9ISO/IEC 24029-2 neural network robustness
  10. 3.10Case study: applying ISO/IEC 23894 to obstacle detection
  1. 4.1ISO/IEC TR 5469 AI and functional safety
  2. 4.2IEC 61508 in embedded systems
  3. 4.3EASA guidance on machine learning
  4. 4.4Operational design domain
  5. 4.5Management of airborne training data
  6. 4.6Model verification with scenarios
  7. 4.7Runtime monitoring
  8. 4.8Cybersecurity: ISO/IEC 27001 and 27701
  9. 4.9Integration with SORA
  10. 4.10Laboratory: robustness assessment of a detector
  1. 5.1AI management system in a manufacturer
  2. 5.2ISO/IEC 42001 certification audit
  3. 5.3Documentation and traceability
  4. 5.4Management of model suppliers
  5. 5.5Maintenance and retraining
  6. 5.6Performance indicators
  7. 5.7Relationship with the AI Act
  8. 5.8Markets and customer requirements
  9. 5.9Continuous improvement
  10. 5.10Workshop: ISO/IEC 42001 audit plan
  1. 6.1Description of the UAS and its AI
  2. 6.2Applicable standards
  3. 6.3AI risk analysis
  4. 6.4Data requirements
  5. 6.5Verification plan
  6. 6.6Management system
  7. 6.7Audit plan
  8. 6.8Certification roadmap
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it compatible with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is PX4, ROS 2, Python (PyTorch), MATLAB (UAV Toolbox), in free, academic or evaluation versions. Tests are studied using real flight simulation procedures with software-in-the-loop, evaluation of onboard vision models, and audits of AI management systems. Assessment is continuous by module, plus a final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, cyber-OT, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Description of the UAS and its AI

Describe the onboard AI functions of unmanned aerial systems.

Applicable standards

Interpret the ISO standards applicable to UAS.

AI risk analysis

Apply the ISO/IEC AI standards to an embedded system.

Data requirements

Analyse the functional safety and assurance of AI components.

Verification plan

Implement an AI management system compliant with ISO/IEC 42001.

Career opportunities

Where this takes you

Embedded AI EngineerUAS Systems EngineerISO Compliance ManagerFunctional Safety EngineerAI Management Systems AuditorComputer Vision Engineer
Admissions & scholarships

Requirements

  • No prior qualification required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical regulatory texts.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 300 hours spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You work with PX4, ROS 2, Python (PyTorch), MATLAB (UAV Toolbox). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit recognition policy when you enrol.

Keep exploring

Related programmes

See all in Defense, Military Engineering & Land Systems
Course610 $

Ethics in Digitalisation of Defence Processes Course

Online 300-hour course in ethics in digitalisation of defence processes. 6 modules covering Real Decreto 311/2022 (Esquema Nacional de Seguridad), Reglamento (UE) 2016/679 (RGPD) and PILAR…

300 hOnlineDefense, Military Engineering & Land Systems
Course500 $

Course in Ethics in Auditing Military AI in Universities

Online 300-hour course in ethics in auditing military AI in universities. 6 modules covering the European Code of Conduct for Research Integrity (ALLEA, 2023), Regulation (EU)…

300 hOnlineDefense, Military Engineering & Land Systems
Course890 $

ISO/IEC Course in Critical Data Integration

Online 300-hour ISO/IEC course in critical data integration. 6 modules covering ISO/IEC 25012 (data quality model), ISO 8000-61 (data quality management) and Apache Kafka. Assigned tutor…

300 hOnlineDefense, Military Engineering & Land Systems
ISO Standards in AI Applied to UAS CourseEnrol
Related programmes

More in Defense, Military Engineering & Land Systems

Safety Standards in Defence Plants CourseView programme →ISO/IEC Course in Cryptography Applied to DefenceView programme →Course in Ethics in Infrastructure ResilienceView programme →UNECE Regulations Course in Vehicle Type-ApprovalView programme →IEEE Standards in Tactical Communications CourseView programme →Course on Environmental Impact of RotorcraftView programme →

All Defense, Military Engineering & Land Systems programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.