Ethics in AI Certification Course
Online 300-hour course in ethics in AI certification. 6 modules covering Regulation (EU) 2024/1689 (AI Act), ISO/IEC 42001 (AI management systems) and IBM AI Fairness 360. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Explain the certification scheme and conformity assessment of AI in Europe.
Interpret the obligations of the AI Regulation for high-risk systems.
Translate regulatory requirements into assessable technical criteria.
Apply metrics for fairness, robustness and explainability.
Analyse the ethical conflicts of the assessor and the independence of certification.
Carry out a structured technical assessment of an AI system.
Prepare a certification dossier for an AI system.
Who it's for
- AI systems auditor who wants to specialise in Ethics in AI certification.
- AI compliance engineer who wants to specialise in Ethics in AI certification.
- Conformity assessor who wants to specialise in Ethics in AI certification.
- AI governance manager who wants to specialise in Ethics in AI certification.
- Data scientist who wants to specialise in Ethics in AI certification.
- Technology regulation consultant who wants to specialise in Ethics in AI certification.
- Engineering or science graduates seeking to join conformity assessment bodies.
What you'll work with
- Regulation (EU) 2024/1689 (AI Act)
- ISO/IEC 42001 (AI management systems)
- ISO/IEC 23894 (AI risk management)
- ISO/IEC 22989 (AI concepts and terminology)
- ISO/IEC 17065 (product certification bodies)
- IEEE 7000-2021 (ethically aligned design of systems)
- NIST AI RMF 1.0
6 modules · 300 h
1.1Certification, accreditation and conformity assessment1.2ISO/IEC 17000 and assessment vocabulary1.3Quality infrastructure: standardisation and accreditation1.4Why certify AI1.5Technical features that make AI certification difficult1.6Product, process and management system certification1.7Civil and defence domains1.8Existing and emerging schemes1.9Actors: notified bodies and accredited entities1.10Case study: mapping AI certification schemes
2.1Regulation (EU) 2024/1689 on artificial intelligence2.2High-risk systems and requirements2.3Conformity assessment and CE marking2.4Harmonised standards from CEN-CENELEC JTC 212.5ISO/IEC 42001 and its certification2.6ISO/IEC 42006 for certification bodies2.7EASA guidance on AI in aviation2.8Defence exclusion and military schemes2.9AESIA and supervision in Spain2.10Workshop: risk classification of five systems
3.1Risk management across the lifecycle3.2Data governance and quality3.3Technical documentation and records3.4Transparency and information for users3.5Human oversight3.6Accuracy, robustness and cybersecurity3.7Quality management systems3.8Post-market monitoring3.9Serious incident reporting3.10Practical exercise: preparing technical documentation for a system
4.1Impartiality of the certification body4.2Conflicts of interest and consultancy4.3Certification as assurance and the risk of ethics-washing4.4Technical competence of assessors4.5Confidentiality and intellectual property4.6Liability for failures of certified systems4.7Certification of systems that learn in use4.8Equitable access for SMEs4.9Public credibility of certification marks4.10Case study: analysis of a conflict of interest
5.1Performance and robustness testing5.2Bias assessment5.3Cybersecurity testing of models5.4Regulatory sandboxes5.5AI testing laboratories5.6Sampling and reproducibility of results5.7Evidence and traceability5.8Assessment report and decision5.9Surveillance and certificate renewal5.10Laboratory: robustness assessment for a dossier
6.1Selection of the AI system6.2Regulatory classification6.3Applicable requirements and standards6.4Gap analysis6.5Technical assessment plan6.6Technical file6.7Ethical assessment of the process6.8Post-market surveillance plan6.9Report and presentation6.10Final review with the tutor
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is IBM AI Fairness 360, Fairlearn, SHAP, MLflow, Python (scikit-learn), in free, academic or evaluation versions. Case studies are based on real conformity audit procedures for AI systems, bias and robustness testing, and review of technical documentation. Assessment is continuous, module by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the certification scheme and conformity assessment of AI in Europe.
Interpret the obligations of the AI Regulation for high-risk systems.
Translate regulatory requirements into assessable technical criteria.
Apply metrics for fairness, robustness and explainability.
Analyse the ethical conflicts of the assessor and the independence of certification.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish-language proficiency 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.
Frequently asked questions
The programme totals 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours a week, compatible with full-time work.
The programme uses IBM AI Fairness 360, Fairlearn, SHAP, MLflow, Python (scikit-learn). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
SEIUM's own diploma, awarded on passing continuous assessment and the integrating project. It is institution-specific training, not an official qualification from the Ministry.
Yes. Modules passed on a course or Postgraduate Diploma in the same area are recognised in the advanced programme. Check the recognition policy when you enrol.
Related programmes
Course in Ethics in Geolocation Systems
Online 300 h course in ethics of geolocation systems. 6 modules covering Regulation (EU) 2016/679 (GDPR), Directive 2002/58/EC (privacy and electronic communications) and QGIS. Dedicated tutor…
Capacity management and sequencing course
The Capacity Management and Sequencing Course provides key knowledge for optimizing production planning and scheduling, focusing on efficient resource management and bottleneck reduction. It covers the…
Marketing course for pilots
Marketing Course for Pilots This course provides the skills necessary to enhance your personal brand and networking within the aviation industry. It explores digital marketing strategies,…
More in Off-Road, Special Vehicles & Machinery
All Off-Road, Special Vehicles & Machinery programmes → · How to apply · Fees & financing · Scholarships