Course in IEEE Certification Standards for Autonomy
Online 300-hour course in IEEE certification standards for autonomy. 6 modules covering IEEE 7000-2021 (ethically aligned design), IEEE 7001-2021 (transparency of autonomous systems) and ROS 2. 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
Define the levels and key concepts of autonomous systems.
Apply IEEE ethics and transparency standards in design.
Interpret the applicable technical standards for robotics.
Plan the verification and validation of autonomous behaviours.
Build a safety case for certification.
Analyse the implications of autonomy for defence and security.
Develop a certification plan for an autonomous system.
Who it's for
- Autonomous systems verification engineer seeking to specialise in IEEE certification standards for autonomy.
- AI ethics specialist seeking to specialise in IEEE certification standards for autonomy.
- Functional safety engineer seeking to specialise in IEEE certification standards for autonomy.
- Auditor of intelligent systems seeking to specialise in IEEE certification standards for autonomy.
- Robotics engineer seeking to specialise in IEEE certification standards for autonomy.
- Technology certification manager seeking to specialise in IEEE certification standards for autonomy.
- Graduates in engineering or science looking to enter robotics and artificial intelligence.
What you'll work with
- IEEE 7000-2021 (ethically aligned design)
- IEEE 7001-2021 (transparency of autonomous systems)
- UL 4600 (safety of autonomous products)
- IEEE 1872 (ontologies for robotics)
- ISO 21448 (SOTIF)
- ISO 13482 (personal care robots)
- Regulation (EU) 2024/1689 (AI Act)
6 modules · 300 h
1.1Automation versus autonomy1.2Levels of autonomy (SAE J3016 and ALFUS)1.3Perception-decision-action architectures1.4Machine learning in autonomy1.5Operating environments and ODD1.6Human-machine interaction1.7Faults and degraded modes1.8IEEE standards ecosystem1.9Role of IEEE SA and the standardisation process1.10Workshop: defining the operational domain of a robot
2.1IEEE Ethically Aligned Design initiative2.2IEEE 7000: value-based systems engineering2.3IEEE 7001: transparency of autonomous systems2.4IEEE 7002: data privacy2.5IEEE 7003: algorithmic bias considerations2.6IEEE 7007: ontologies for ethical robotics2.7IEEE 7010: human wellbeing2.8IEEE CertifAIEd certification programme2.9Relationship with ISO/IEC JTC 1/SC 422.10Practice: applying IEEE 7001 to an autonomous vehicle
3.1IEEE 1872: ontology for robotics3.2IEEE 1872.2: autonomy ontology3.3IEEE 2755: intelligent process automation3.4IEEE 2846: vehicle behaviour models3.5IEEE 1228: software safety3.6IEEE 2851 and others under development3.7ISO 10218 and ISO 13482 in robotics3.8UL 4600: safety of autonomous products3.9ISO 21448 (SOTIF)3.10Case study: SOTIF analysis of a perception sensor
4.1Safety cases and argumentation4.2Scenario-based simulation4.3Closed-course and field testing4.4Formal methods for autonomy4.5Validation of learning components4.6Runtime monitoring4.7Conformity assessment bodies4.8Evidence for certification4.9Update management4.10Laboratory: scenario testing in CARLA
5.1Autonomous systems in defence: academic framework5.2NATO principles for responsible AI5.3Directive 3000.09 and autonomy review5.4Meaningful human control5.5Transparency and traceability requirements5.6Use of civil standards in dual-use systems5.7Legal liability5.8Independent ethical audit5.9Interoperability with NATO standards5.10Case study: IEEE 7000 audit of a logistics UGV
6.1Selection of the autonomous system6.2Definition of ODD and requirements6.3Identification of applicable IEEE standards6.4Value analysis with IEEE 70006.5Safety case6.6Verification and validation plan6.7Conformity matrix6.8Certification roadmap6.9Report and presentation6.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and assigned technical tutor. No fixed timetables: students progress at their own pace within the enrolment period, which makes it possible to combine with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ROS 2, CARLA, MATLAB, Python (scikit-learn), in free, academic or evaluation versions. Tests are studied through real verification procedures based on simulated scenarios, algorithm transparency audits and the preparation of safety cases. Assessment is continuous by module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Define the levels and key concepts of autonomous systems.
Apply IEEE ethics and transparency standards in design.
Interpret the applicable technical standards for robotics.
Plan the verification and validation of autonomous behaviours.
Build a safety case for certification.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards documents.
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 per week, compatible with a full-time job.
The programme uses ROS 2, CARLA, MATLAB, Python (scikit-learn). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM diploma awarded upon passing the continuous assessment and the integrative 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 recognised towards the advanced programme. Check the recognition policy when you enrol.
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