Course in AI Ethics Applied to Military Logistics
Online 300-hour course in AI ethics applied to military logistics. 6 modules covering the NATO Principles for the Responsible Use of AI (2021), ISO/IEC 42001 (AI management systems) and Python (OR-Tools). Personal tutor assigned and enrolment open.
Course in AI Ethics Applied to Military Logistics — studying from South Africa
South Africa has a established defence industry centred on companies such as Denel and Paramount Group, with capabilities in land systems, armoured vehicles and munitions. The sector supports engineering roles in systems integration, vehicle design and test and evaluation. Defence procurement and export controls are overseen by government bodies, and the industry works closely with the South African National Defence Force. Engineers in this field typically combine mechanical, electrical and systems skills.
Fees for South Africa: R 12 000 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Which South African bodies regulate or recognise defence and military engineering professionals?
Engineers in South Africa are registered through ECSA under the Engineering Profession Act, and defence programmes are guided by institutions such as the South African National Defence Force and Armscor, which set their own requirements. SEIUM is a private online institute, and its qualifications are not state degrees or accredited by a national body. Recognition is decided by these bodies and your employer, so confirm with them first.
Would this qualification help me find work in South Africa's defence or land systems sector?
South Africa has a defence industry with state-linked entities and private contractors, and employers usually require security clearances, relevant experience and recognised qualifications. A private online programme may support your application but does not guarantee employment or clearance. Check requirements with prospective employers, as roles in this sector can be sensitive and tightly controlled.
Can I study alongside a job, and are there funding options?
The course is 100% online and taught in English, so you need strong English, and no student visa is needed to study from home. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, each with an assigned technical tutor. Fees are payable in instalments, and employer sponsorship is possible, so ask whether your employer would fund part of the training.
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 applications of AI in military logistics.
Assess the reliability and safety of forecasting and optimisation systems.
Analyse the impact of automation on people and the organisation.
Apply fairness criteria in automated resource prioritisation.
Evaluate dependence on suppliers, data and technological sovereignty.
Integrate AI risk management into the supply chain.
Design a responsible AI logistics project.
Who it's for
- Defence logistics engineer looking to specialise in AI Ethics applied to military logistics.
- Supply chain data scientist looking to specialise in AI Ethics applied to military logistics.
- Supplier risk manager looking to specialise in AI Ethics applied to military logistics.
- Operational research analyst looking to specialise in AI Ethics applied to military logistics.
- Data governance manager looking to specialise in AI Ethics applied to military logistics.
- Technological sovereignty consultant looking to specialise in AI Ethics applied to military logistics.
- Engineering or science graduates seeking to enter the defence sector.
What you'll work with
- NATO Principles for the Responsible Use of AI (2021)
- ISO/IEC 42001 (AI management systems)
- ISO 28000 (supply chain security)
- ISO/IEC 23894 (AI risk management)
- Directive 2009/81/EC (defence and security public procurement)
- Regulation (EU) 2023/2854 (Data Act)
- Regulation (EU) 2021/821 (dual-use)
6 modules · 300 h
1.1Military logistics chain: supply, transport and maintenance1.2Demand forecasting with machine learning1.3Predictive maintenance of fleets1.4Route and convoy optimisation1.5Inventory and spare parts management1.6Real programmes: F-35 ALIS/ODIN and predictive logistics1.7Logistics as a support function for the force1.8The ethical dimension of logistical efficiency1.9NATO principles for the responsible use of AI1.10Case study: predictive maintenance of vehicles
2.1Maintenance data quality2.2Prediction errors and their consequences2.3Airworthiness and tool certification2.4Human oversight of logistical decisions2.5Failure modes of AI systems2.6Cybersecurity of the logistics chain2.7System dependence and graceful degradation2.8Continuous testing and evaluation2.9Liability for supply failures2.10Laboratory: evaluation of a failure forecasting model
3.1Impact on logistics personnel3.2Automation and loss of skills3.3Calibrated trust in AI3.4Human-machine interface and cognitive load3.5Personnel data and privacy3.6Algorithmic performance evaluation3.7Training and AI literacy3.8User participation in development3.9Organisational culture and resistance3.10Practice: personnel impact assessment of an AI system
4.1Allocation of scarce resources4.2Prioritisation criteria and their values4.3Medical evacuation and logistical triage4.4Humanitarian aid and support for civilians4.5Local suppliers and economic effects4.6Sustainability and carbon footprint4.7Transparency of optimisation criteria4.8Biases in consumption data4.9Accountability for decisions4.10Case study: prioritisation of supplies in a crisis
5.1Data ownership in sustainment contracts5.2Technology suppliers and dependence5.3Interoperability with allies5.4Data sharing within NATO5.5Data sovereignty and cloud5.6Export control of software5.7Public procurement of AI systems5.8Ethical requirements in tender specifications5.9Supplier evaluation5.10Workshop: ethical requirements for an AI logistics tender specification
6.1Defining the logistics use case6.2Analysis of available data6.3Model design and metrics6.4Technical risk assessment6.5Assessment of impacts on people6.6Design of human oversight6.7Validation and deployment plan6.8Monitoring indicators6.9Report and presentation6.10Final review with the tutor
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake period, which makes 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 (OR-Tools), Gurobi, SAP S/4HANA, Power BI, in free, academic or evaluation versions. Case studies are based on real procedures for supply network optimisation, supplier risk assessment and resource prioritisation analysis. Assessment is continuous across modules, plus a final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe applications of AI in military logistics.
Assess the reliability and safety of forecasting and optimisation systems.
Analyse the impact of automation on people and the organisation.
Apply fairness criteria in automated resource prioritisation.
Evaluate dependence on suppliers, data and technological sovereignty.
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 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 comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You will work with Python (OR-Tools), Gurobi, SAP S/4HANA and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma 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 credited towards the advanced programme. Please consult the credit transfer policy when you enrol.
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