ISO 42001 Training
Artificial Intelligence Management System Requirements
Impartiality Statement
Imperium Certific training programmes are exclusively educational in nature and organizationally separate from certification processes. Training does not involve developing documentation, implementing or consulting on management systems for specific organizations. Completing training does not influence certification decisions and does not create advantages in the audit process.
Training programme listing — to be populated separately
Who Benefits from ISO 42001 Training
ISO 42001 training programmes are designed for a wide range of professionals involved in AI development, governance and compliance:
AI project and product managers
— product managers, project managers responsible for developing and deploying AI solutions
CTOs and technical directors
— decision-makers for AI architecture, infrastructure and organizational AI strategy
Data Scientists and ML engineers
— professionals developing, training and validating machine learning models
Compliance and regulatory specialists
— responsible for EU AI Act, GDPR and other regulatory requirements in the AI domain
Information security professionals
— CISOs and information security managers responsible for AI system security and data protection
Internal auditors
— specialists conducting or planning internal audits of the AI management system
AI ethics and responsible AI specialists
— AI governance managers responsible for ethical principles and AI impact assessment
Business owners and executives
— seeking to understand standard requirements for strategic AI planning
What Participants Will Gain
Learn from those who know the standard requirements from the inside. Programmes are built on general practical case studies from international experience.
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ISO/IEC 42001:2023 structure and requirements — the first international AI management system standard: detailed review of each clause from organizational context to continual improvement
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Annexes A and B — controls for managing AI systems, selection principles and justification in the Statement of Applicability (SoA)
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AI risk assessment — methodologies for identifying and assessing AI-related risks: bias, reliability, security, privacy, explainability
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AI impact assessment — approaches to evaluating the potential impact of AI systems on society, human rights and the environment
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AI lifecycle management — principles of data management, development, validation, monitoring and decommissioning of AI models
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ISO 42001 and EU AI Act — the relationship between standard requirements and the EU AI Regulation, compliance demonstration approaches
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Certification audit preparation — understanding the audit process, typical nonconformities and auditor expectations
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Training Format
Duration: 1 to 2 days depending on the programme
Format: online (webinar) or on-site
Language: English, Ukrainian — on request
Materials: training materials and completion certificate
Groups: corporate training or open groups per schedule
Register for Training
View Schedule or Request Corporate Training
Complete a short questionnaire — we will prepare a tailored proposal for your team
FAQ
No. Training programmes are organizationally separate from certification processes. Completing training does not influence certification decisions and does not create any advantages in the audit process.
No. As a certification body, we do not provide consulting services or develop management systems for specific organizations. Training is based on general practical case studies from international experience.
Basic understanding of AI and machine learning principles is helpful but not required. Training focuses on the management requirements of the standard, not on the technical aspects of model development.
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