Künstliche Intelligenz

ISO/IEC 42001 Lead Implementer certification

This 5-day intensive course will provide you with the necessary knowledge and practical skills to plan, implement, manage and continuously improve an Artificial Intelligence Management System (AIMS) according to ISO/IEC 42001 in an organization.

The course covers the entire implementation process - from analyzing the organizational context, defining policies and responsibilities, assessing risks, managing the AI system lifecycle and complying with ethical and regulatory requirements. Through practical exercises and case studies, participants are optimally prepared for real-life implementation scenarios.

**At the end of the course, each participant is free to take the TRECCERT ISO/IEC 42001 Lead Implementer exam directly at our own Schönbrunn TASC test center.

Show dates

Preise ab € 3.250 zzgl. 19% Ust

Duration: 5 days

Level: Intermediate

Code: ISO-42001-LITC

CPEs: 40

Buchen Sie noch heute online oder rufen Sie uns an unter +49 7031 2024741wenn Sie Hilfe bei der Auswahl des richtigen Kurses benötigen oder über Firmenrabatte sprechen möchten.

This training course provides specialists with the knowledge and skills to plan, implement and continuously improve an AI management system (AIMS) in accordance with ISO/IEC 42001.

Your benefits

Schönbrunn TASC is a TRECCERT Accredited Training Organization (ATO). This means that you have access to official TRECCERT course materials. You can take the ISO/IEC 42001 Lead Implementer exam online after the course. If you do not pass the exam on your first attempt (which we do not expect), our performance guarantee covers you - this means you train for free the second time.

You learn in small groups (max. 10 participants per course)
In-house modern training room and test center in a distraction-free, quiet atmosphere (PSI/ Pearson Vue/ Kryterion)
TRECCERT Authorized trainers with practical experience, who are always trained, guide you through the course
You will receive comprehensive official TRECCERT training materials, quizzes and exercises
interactive discussions and group work will help you in the application
A light breakfast, lunch, snacks and drinks are provided throughout the day
hotel recommendations near the training and test center
it is possible to take the exam at the Schönbrunn TASC test center afterwards**

Requirements

The following knowledge and experience is recommended for participation in the ISO/IEC 42001 Lead Implementer training:

Basic knowledge of Artificial Intelligence (AI)
Experience with management systems
Understanding of ISO/IEC 42001 fundamentals
Professional experience in IT, compliance or AI project management

Target group

The ISO/IEC 42001 Lead Implementer training course is designed for professionals and managers who are responsible for the introduction, implementation and governance of an AI management system (AIMS) in their organization, including:

Heads of compliance or risk management who wish to strategically manage AI risks
Analysts, consultants and managers in the field of AI governance who develop guidelines and control mechanisms for AI systems
IT managers who are responsible for the technical implementation and integration of AI systems
Compliance officers and risk managers who need to fulfill regulatory requirements related to AI

Training schedule

The course is divided into eight structured modules that cover the complete life cycle of an AI management system (AIMS) in accordance with ISO/IEC 42001:

Module 1: Introduction to AIMS

Basics of artificial intelligence (AI)
Overview of the AI management system (AIMS)
Governance frameworks and best practices

Module 2: Requirements of ISO/IEC 42001

Context of the organization
Leadership and commitment
Planning and risk management
Support and resources
Operation and control
Performance evaluation
Improvement

Module 3: AI-specific control measures

Guidelines and internal organization
Resource management for AI systems
Assessment of the impact of AI
Life cycle of AI systems
Data management and information provision
Use of AI systems and third-party relationships

Module 4: Initiation of an AIMS

Project mission and management commitment
Identification of interested parties
Carrying out a gap analysis
Preparation of the PDCA cycle

Module 5: Set-up phase

Definition of the organizational context and the AIMS scope
Definition of objectives, processes and procedures
Development of the AIMS policy
Risk assessment and implementation planning
Authorization for implementation and operation

Module 6: Implementation and operational phase

Risk management for AI
Implementation of policies and procedures
Operation and control of the AIMS
Training, awareness and documentation

Module 7: Monitoring and review phase

Monitoring and evaluation of the AIMS
Conducting internal audits
Management review

Module 8: Maintenance and improvement phase

Implementation of identified improvements
Corrective and preventive measures
Communication and continuous improvement

Certification