Course on the Impact of the AI Act on Military Land Vehicles
Online 300-hour course on the impact of the AI Act on military land vehicles. 6 modules covering Regulation (EU) 2024/1689 (AI Act), ISO/IEC 42001 (AI management systems) and Python (scikit-learn). Assigned tutor and enrolment open.
Course on the Impact of the AI Act on Military Land Vehicles — studying from Singapore
Singapore maintains a comprehensive defence sector through the Ministry of Defence and the Defence Science and Technology Agency, which develops military technologies and manages procurement. Engineering work covers land systems, ammunition, command and control, and simulation. Industry partners include ST Engineering, which supplies defence and security systems globally. Engineers here work within strict security and export control frameworks, often combining systems integration with reliability and safety engineering.
Fees for Singapore: S$1,140 (Singapore dollar), with instalments and employer sponsorship available.
Relevant bodies in Singapore
Typical roles
Questions from Singapore
How does defence engineering work in Singapore, and which bodies oversee it?
Singapore's defence engineering is largely centred on the Ministry of Defence (MINDEF) and DSTA, the defence procurement and development agency, along with the Singapore Armed Forces. Engineers may register with the Professional Engineers Board (PEB). SEIUM's qualifications are private, not state degrees, and not accredited by any national body, so recognition for defence roles depends on the employer or relevant authority.
Who employs defence and land systems engineers in Singapore?
Main employers include MINDEF, DSTA, the SAF, and defence industry companies including ST Engineering. Access to many roles requires security clearance and citizenship or residency rules, so check eligibility early. Employers focus on proven competence and clearance status. Your final project can illustrate technical capability, but it does not replace these requirements.
Is the course manageable alongside a job, and can employers fund it?
The programme is fully online and taught in English, with an assigned technical tutor. Plan for a heavy workload: 1,900 hours for a master's, 800 for a postgraduate diploma, or 300 for a specialist course. Fees are payable in instalments, and employer sponsorship is possible, which is common in defence-linked organisations, though approval is up to them.
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.
What you will be able to do
Describe the structure and risk-based approach of the AI Act.
Delimit the actual scope of the Regulation, including the exclusion of exclusively military uses.
Analyse the obligations of high-risk systems in dual-use applications.
Evaluate data quality, bias and model validation.
Integrate AI governance requirements into procurement.
Assess the ethical aspects of AI in land vehicles.
Draft an integrative regulatory impact report.
Who it's for
- AI regulation consultant wishing to specialise in Impact of the AI Act on military land vehicles.
- Compliance manager in defence wishing to specialise in Impact of the AI Act on military land vehicles.
- Responsible AI engineer wishing to specialise in Impact of the AI Act on military land vehicles.
- Public procurement analyst wishing to specialise in Impact of the AI Act on military land vehicles.
- Technology ethics adviser wishing to specialise in Impact of the AI Act on military land vehicles.
- Land vehicle project manager wishing to specialise in Impact of the AI Act on military land vehicles.
- Graduates in engineering or sciences seeking to enter the defence industry.
What you'll work with
- Regulation (EU) 2024/1689 (AI Act)
- ISO/IEC 42001 (AI management systems)
- ISO/IEC 23894 (AI risk management)
- Directive 2009/81/EC (defence procurement)
- ISO 21448 (SOTIF)
- Regulation (EU) 2021/821 (dual-use items)
- ISO/IEC 22989 (AI concepts and terminology)
6 modules · 300 h
1.1Purpose, scope and definitions1.2Risk-based approach and its categories1.3Prohibited practices1.4High-risk systems and their annexes1.5General-purpose AI models1.6Exclusion of exclusively military uses1.7Grey area: dual use and national security1.8Application timeline1.9Vocabulary and acronyms in the field1.10Exercise: classifying several systems in a vehicle
2.1Perception and assisted driving systems2.2Predictive maintenance and fleet management2.3Operator decision-support systems2.4Unmanned ground platforms2.5Civil components and suppliers in dual-use chains2.6Interaction with vehicle regulations2.7Interaction with data protection2.8Applicable product safety regulations2.9Borderline cases and how to document them2.10Practice: scope analysis of a programme
3.1Supplier quality management system3.2Lifecycle risk management3.3Data governance and dataset quality3.4Required technical documentation3.5Event logging and traceability3.6Transparency and instructions for use3.7Effective human oversight3.8Accuracy, robustness and cybersecurity3.9Conformity assessment and marking3.10Practice: technical documentation index
4.1Representativeness of training data4.2Bias and its detection in perception4.3Validation under real and adverse conditions4.4Performance metrics and their limits4.5Validation of rare and edge cases4.6Explainability and the limits of techniques4.7Robustness testing against perturbations4.8Performance monitoring in service4.9Managing model drift4.10Practice: validation plan for a perception system
5.1Allocation of responsibilities across the chain5.2Contractual compliance clauses5.3Requirements in public procurement tender specifications5.4Relationship with the market surveillance authority5.5Serious incidents and their reporting5.6Debate on autonomy and human control5.7Engineers' codes of professional ethics5.8Public transparency and scrutiny5.9Training of personnel involved5.10Practice: tender specification with AI requirements
6.1Choice of vehicle and its AI systems6.2Scope analysis and classification6.3Risk management system6.4Data governance plan6.5Validation and monitoring plan6.6Technical documentation and record-keeping6.7Human oversight design6.8Contractual compliance plan6.9Dossier report6.10Project defence
How you'll learn
Fully 100 % online training on the SEIUM campus, with downloadable material, recorded lectures and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, making it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Python (scikit-learn), Fairlearn, MLflow, Jupyter, in free, academic or evaluation versions. Tests are studied using real procedures for regulatory case analysis, bias assessments on datasets and AI governance audits. Assessment is continuous, module 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.
Describe the structure and risk-based approach of the AI Act.
Delimit the actual scope of the Regulation, including the exclusion of exclusively military uses.
Analyse the obligations of high-risk systems in dual-use applications.
Evaluate data quality, bias and model validation.
Integrate AI governance requirements into procurement.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Spanish language level sufficient 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 consists of 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
The course uses Python (scikit-learn), Fairlearn, MLflow, Jupyter. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
SEIUM's own diploma upon passing the continuous assessment and the integrative project. It is the Institute's own training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area can be recognised towards the advanced programme. Check the credit recognition policy when you enrol.
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