Technologies / Artificial Intelligence

ISO/IEC 42001 Lead Implementer (ISO/IEC 42001 Lead Implementer)

ISO/IEC 42001 Lead Implementer training allows you to develop the knowledge necessary to support your organization in establishing, implementing, managing, monitoring and maintaining an Artificial Intelligence Management System (AIMS) based on the requirements of ISO/IEC 42001. During this training, you will also gain an in-depth understanding of AIMS best practices and learn how to manage AI systems responsibly, taking into account ethical considerations, legal compliance and socio-economic impact. Once you have mastered all the necessary concepts of AI Management Systems, you can take the exam and apply for the PECB Certified ISO/IEC 42001 Lead Implementer certification.

Issues

Artificial Intelligence Management System (AIMS).
ISO/IEC 42001 Standard
Artificial intelligence (AI)
Responsible management of AI
Ethical aspects of AI
Compliance with the law
Socio-economic impact
AI risk management
AI systems
AI surveillance
AI best practices
Monitoring AI systems

Benefits

Understand the operation of the AI Management System (AIMS) based on the ISO/IEC 42001 standard
Master the concepts, approaches, methods and techniques needed to implement and effectively manage AIMS
They will learn how to interpret and apply the requirements of ISO/IEC 42001 in the specific context of the organization
They will gain the knowledge to professionally advise the organization on best practices for responsible management of artificial intelligence

Who is this training for?

Managers and consultants involved in the development and implementation of AI technologies

Expert advisors and professionals in the field of artificial intelligence

Managers responsible for compliance and AI risk management

People responsible for the design, development, implementation and supervision of AI systems

Prerequisites

Basic knowledge of artificial intelligence and AI technologies
Knowledge of the basics of technology project management
Experience working with IT systems (preferred)
Analytical and strategic thinking skills

Training program

Introduction to ISO/IEC 42001 standard — objectives, scope, standard structure, relationship with other standards (ISO/IEC 27001, ISO 9001, AI Act)
AI Management System (AIMS) — concept, components, High-Level Structure (HLS), PDCA cycle in the context of AI
Organizational context — stakeholder analysis, defining AIMS scope, AI impact on organization and society
Leadership and engagement — AI policy, roles and responsibilities, implementation team competencies
Responsible AI management — ethical principles, transparency, explainability, fairness, accountability
Exercises: organizational context analysis for AIMS deployment, stakeholder identification

AIMS deployment planning — AI objectives, action planning, resources, competencies, awareness
AI risk management — identification of AI-specific risks (bias, drift, hallucination), impact assessment, risk matrix
AI Impact Assessment — impact on human rights, privacy, security, environment
Legal and regulatory requirements — EU AI Act, AI system classification (unacceptable, high risk, limited, minimal)
AIMS documentation — policies, procedures, records, normative documentation management
Exercises: conducting AI risk assessment, AI system classification per AI Act

Organizational safeguards — AI governance, AI committee, AI use policies, AI supplier management
Technical safeguards — training data quality, model validation, drift monitoring, bias testing
AI system lifecycle — design, development, deployment, monitoring, decommissioning, documentation at each stage
Data management in the AI context — data quality, privacy, anonymization, consent management, data lineage
Transparency and explainability — XAI (Explainable AI) methods, AI decision documentation, user communication
Exercises: designing security controls for high-risk AI systems, lifecycle documentation

AIMS monitoring and measurement — KPIs for AI systems, performance metrics, fairness metrics, production monitoring
Internal AIMS audit — planning, conducting, reporting, non-conformity identification
Management review — input data, results analysis, decisions and corrective actions
Continuous improvement — non-conformities, corrective actions, PDCA cycle, AIMS maturity
AI incident management — identification, classification, response, cause analysis, lessons learned
Exercises: conducting internal AIMS audit, developing corrective action plan

ISO/IEC 42001 requirements summary — overview of key clauses and security controls
AIMS integration with other management systems — ISO/IEC 27001 (information security), ISO 9001 (quality), ISO 22301 (continuity)
Case studies — analysis of AIMS deployments in organizations of different scales and industries
PECB certification preparation — exam format, question types, passing strategies, reference materials
Trial exam — PECB Certified ISO/IEC 42001 Lead Implementer exam simulation
PECB certification exam (optional) — written exam leading to PECB Certified ISO/IEC 42001 Lead Implementer certificate

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For ISO/IEC 42001 Lead Implementer (ISO/IEC 42001 Lead Implementer) we recommend: Basic knowledge of artificial intelligence and AI technologies; Knowledge of the basics of technology project management; Experience working with IT systems (preferred).

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Managers and consultants involved in the development and implementation of AI technologies; Expert advisors and professionals in the field of artificial intelligence; Managers responsible for compliance and AI risk management.