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ISO/IEC 42001 Course (AI Management Systems)

Online course of 300 h in ISO/IEC 42001 (AI Management Systems). 6 modules covering ISO/IEC 42001 (AI management systems), ISO/IEC 23894 (AI risk management) and OneTrust. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Explain the structure and requirements of the ISO/IEC 42001 standard.

02

Define the context and scope of an AI management system.

03

Apply AI risk management and AI impact assessment.

04

Select and justify the Annex A controls.

05

Relate the standard to the obligations of the European AI Regulation.

06

Plan and carry out an internal audit of the system.

07

Draft an implementation plan for ISO/IEC 42001.

Profile

Who it's for

  • AI governance manager who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • ISO/IEC 42001 auditor who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • AI compliance consultant who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • Technology risk manager who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • AI ethics manager who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • Management systems implementer who wants to specialise in ISO/IEC 42001 (AI Management Systems).
  • Graduates in engineering or science seeking to enter technology consultancy.
Standards & tools

What you'll work with

  • ISO/IEC 42001 (AI management systems)
  • ISO/IEC 23894 (AI risk management)
  • ISO/IEC 42005 (AI system impact assessment)
  • Regulation (EU) 2024/1689 (AI Regulation)
  • ISO/IEC 22989 (AI concepts and terminology)
  • ISO/IEC 38507 (AI governance)
  • NIST AI RMF 1.0
  • ISO/IEC 27001 (information security management)
Syllabus

6 modules · 300 h

  1. 1.1Key concepts according to ISO/IEC 22989
  2. 1.2Life cycle of an AI system
  3. 1.3Roles: provider, producer, user and subject
  4. 1.4High-level structure of ISO standards
  5. 1.5JTC 1/SC 42 family of standards
  6. 1.6Relationship with ISO 9001 and ISO/IEC 27001
  7. 1.7Risks specific to AI
  8. 1.8Benefits of a certifiable management system
  9. 1.9European AI Regulation and harmonised standards
  10. 1.10Workshop: inventory of an organisation's AI systems
  1. 2.1Context of the organisation (clause 4)
  2. 2.2Leadership and AI policy (clause 5)
  3. 2.3Planning and objectives (clause 6)
  4. 2.4Support: resources, competence and documentation
  5. 2.5Operation and control (clause 8)
  6. 2.6Performance evaluation (clause 9)
  7. 2.7Improvement and corrective actions (clause 10)
  8. 2.8Statement of applicability
  9. 2.9Minimum documented information
  10. 2.10Practice: drafting an AI policy
  1. 3.1AI risk assessment (6.1.2)
  2. 3.2Risk treatment and controls
  3. 3.3ISO/IEC 23894 as a risk guide
  4. 3.4Impact assessment of the AI system
  5. 3.5ISO/IEC 42005: impact assessment
  6. 3.6Impacts on people and society
  7. 3.7Bias and fairness: ISO/IEC TR 24027
  8. 3.8Impact assessment on fundamental rights
  9. 3.9Recording and periodic review of risks
  10. 3.10Case study: impact assessment of a staff selection system
  1. 4.1A.2 and A.3: policies and internal organisation
  2. 4.2A.4: resources for AI systems
  3. 4.3A.5: impact assessment
  4. 4.4A.6: system life cycle
  5. 4.5A.7: data for AI systems
  6. 4.6A.8: information for interested parties
  7. 4.7A.9: responsible use
  8. 4.8A.10: relationships with third parties
  9. 4.9Implementation guidance from Annex B
  10. 4.10Workshop: controls matrix for a corporate chatbot
  1. 5.1Initial gap analysis
  2. 5.2Phased implementation plan
  3. 5.3Integration with other management systems
  4. 5.4Performance indicators and metrics
  5. 5.5Internal audit according to ISO 19011
  6. 5.6ISO/IEC 42006: requirements for certification bodies
  7. 5.7Stages 1 and 2 of certification
  8. 5.8Nonconformities and action plans
  9. 5.9Maintenance and recertification
  10. 5.10Case study: stage 2 audit simulation
  1. 6.1Selection of the organisation and scope
  2. 6.2Inventory of AI systems
  3. 6.3Gap analysis
  4. 6.4Risk and impact assessment
  5. 6.5Statement of applicability
  6. 6.6Key procedures and documentation
  7. 6.7Internal audit programme
  8. 6.8Roadmap to certification
  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 Institute campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, 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 OneTrust, Jira, Confluence, Power BI, advanced Excel, in free, academic or evaluation versions. The practical work draws on real procedures from internal management system audits, AI system impact assessments and gap analyses against the standard. Assessment is continuous, module by module, plus the final integrating project.

Accredited laboratories(EN ISO/IEC 17025) with a 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:a safety-by-design approach, with OT cyber, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Selection of the organisation and scope

Explain the structure and requirements of the ISO/IEC 42001 standard.

Inventory of AI systems

Define the context and scope of an AI management system.

Gap analysis

Apply AI risk management and AI impact assessment.

Risk and impact assessment

Select and justify the Annex A controls.

Statement of applicability

Relate the standard to the obligations of the European AI Regulation.

Career opportunities

Where this takes you

AI Governance ManagerISO/IEC 42001 AuditorAI Compliance ConsultantTechnology Risk ManagerAI Ethics ManagerManagement Systems Implementer
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow the reading of technical regulations.

Ready to start?

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

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FAQ

Frequently asked questions

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

You work with OneTrust, Jira, Confluence, Power BI and advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM Institute own 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 recognised towards the higher programme. Check the recognition policy when you enrol.

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