Training Information
| Training Format | Online |
|---|---|
| Training Venue | INSPECCO |
| Training Dates | 7–11 December 2026 (5 Days) |
| Training Hours | 09:30–17:00 |
| Training Fee | Please Enquire |
| Certificate | At the End of the Training |
| Examination | At the End of the Training |
| Instructor | Mustafa Demirol |
| Capacity | Please Enquire |
Training Objective
The course aims to provide the knowledge and skills required to plan, conduct, report and follow up Artificial Intelligence Management System audits in line with ISO/IEC 42001:2023 and ISO 19011. Practical exercises aim to help participants learn the audit processes.
Training Content
- Artificial intelligence terminology and fundamental concepts
- Machine learning, deep learning and artificial neural networks
- Data mining and data analysis
- Artificial intelligence and standardization
- Purpose, scope and requirements of ISO/IEC 42001:2023
- Core clauses and annexes of the Artificial Intelligence Management System
- Context of the organization, leadership and planning
- Risk assessment and artificial intelligence impact assessment
- Management system documentation and operational processes
- Performance evaluation, internal audit and continual improvement
- ISO 19011 auditing principles and auditor responsibilities
- Audit planning, conduct and reporting
- Audit techniques, questioning and evidence collection
- Identification and classification of nonconformities
- Corrective actions and follow-up audits
- Practical exercises and workshop
- Examination
Who Should Attend
Managers and employees responsible for establishing and implementing an Artificial Intelligence Management System, quality and information security managers, management system auditors and prospective auditors, consultants, and professionals wishing to specialize in this field.