ISO 42001 Artificial Intelligence Management System Lead Implementer Training
Design and implement an AI management system ready for certification
4
Lessons
~2h
Study time
30
Exam questions
Earns a QR-verifiable Certificate of Training
Overview
About this course
This course equips practitioners to implement an AI management system that meets ISO/IEC 42001 and can be certified, from initial gap analysis through to management review.
It is built around the sequence an implementation actually follows: scope and context, policy and roles, risk and impact methodology, control selection, lifecycle process design, evidence, internal audit and readiness for certification.
Objectives
- Plan and lead an ISO/IEC 42001 implementation programme
- Define scope, context and interested parties for an AI management system
- Develop AI policy, roles, responsibilities and competence requirements
- Build workable AI risk assessment and AI system impact assessment methodologies
- Select Annex A controls and produce a defensible Statement of Applicability
- Design lifecycle, data governance, transparency and oversight processes that engineering teams will actually use
- Prepare the organisation for certification and run management review
Course outline
- Implementation programme, resourcing and governance
- Gap analysis against ISO/IEC 42001
- Defining scope, context and the AI system inventory
- AI policy, objectives and planning to achieve them
- Roles, responsibilities, competence and awareness
- Designing an AI risk assessment methodology
- Designing an AI system impact assessment methodology
- Control selection and the Statement of Applicability
- AI lifecycle process design: objectives, development, verification, deployment, monitoring, retirement
- Data governance: provenance, quality, bias, retention
- Transparency, documentation and human oversight in practice
- Supplier and third-party model management
- Incident management and continual improvement
- Internal audit, management review and certification readiness
- Integration with ISO 27001 and ISO 9001
Who should attend
- AI, data and platform leads
- Information security and privacy managers
- Management system implementers and consultants
- Compliance, risk and governance professionals
- Project managers running AI governance programmes
Learning outcomes
Participants will be able to run an ISO/IEC 42001 implementation end to end, produce the documented information a certification body will expect, and embed AI governance in the way systems are actually built and operated.
What you earn
A certificate anyone can verify in seconds
Score 70% or better on the final exam and Skedmia issues your Certificate of Training with a unique certificate number. Every certificate carries a QR code that resolves to our public register, so an employer or auditor can confirm it is genuine without contacting anyone.
Verified at skedmia.com/verify
Syllabus
Course content
2 modules · 4 lessons · ~2h
01Module 1 — Setting up the system2 lessons
- Gap analysis, scope and the AI inventoryPreview30 min
- Policy, roles and methodology30 min
02Module 2 — Embedding and certifying2 lessons
- Lifecycle, data and oversight in practice30 min
- Internal audit, review and certification25 min
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