This practical, on-demand course introduces auditors and AI governance professionals to the AI system lifecycle controls in ISO/IEC 42001 Annex A.6.2.2 to A.6.2.8. Follow an AI system through requirements definition, design and development, verification and validation, deployment, operation and monitoring, technical documentation, and event logging. Through realistic audit scenarios, you will explore how these controls work together to support traceability, responsible AI, risk management, human oversight and accountability. You will learn what objective evidence to request, which questions to ask and how to recognize common weaknesses that may indicate ineffective implementation.

AI system lifecycle controls

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain how ISO/IEC 42001 Annex A.6.2.2 to A.6.2.8 controls apply across the AI system lifecycle.
Evaluate evidence of effective AI lifecycle governance, including traceability, oversight, monitoring and documentation.
Identify control weaknesses and reach proportionate, evidence-based conclusions when auditing AI systems.
Skills you'll gain
- Auditing
- Record Keeping
- AI literacy
- Compliance Auditing
- System Requirements
- Artificial Intelligence and Machine Learning (AI/ML)
- Verification And Validation
- Risk Control
- Audit Planning
- Requirements Management
- System Monitoring
- AI Security
- Risk Management
- Internal Controls
- Technical Documentation
- Responsible AI
- Document Control
- External Auditing
- Artificial Intelligence
Details to know

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Recently updated!
October 2026
Assessments
8 assignments
Taught in English
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There are 8 modules in this course
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