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AI120: AIMS Implementation according to ISO/IEC 42001:2023

Training: Artificial Intelligence - Implementation

Participants receive a practical introduction to building an AI Management System (AIMS) in accordance with ISO/IEC 42001:2023. The course covers the fundamentals of responsible AI use, transparency, and continuous improvement. It addresses the development, deployment, and optimization of AI systems, taking into account ethical and regulatory requirements.

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Presence training	2025-10-13 \| 10:00 am	2025-10-15 \| 05:00 pm	Nürnberg
Presence training	2025-12-01 \| 10:00 am	2025-12-03 \| 05:00 pm	Nürnberg

Possible course languages: German

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Presence training

Start: 2025-10-13 | 10:00 am

End: 2025-10-15 | 05:00 pm

Location: Nürnberg

Price: 1.850,00 € plus VAT.

Presence training

Start: 2025-12-01 | 10:00 am

End: 2025-12-03 | 05:00 pm

Location: Nürnberg

Price: 1.850,00 € plus VAT.

Request prefered appointment period:

Your Name *

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Agenda:

Part 1: Brief introduction: Understanding Artificial intelligence

Part 2: The ISO/IEC 42001 standard family, overview of the standards world
- Structure of ISO 42001
- Interaction with other standards (using the example of the ISO/IEC 2700x family)

Part 3: The Management system ISO/IEC 42001, Chapters 4 - 10
- Chapter 4: Context of the organization
  - What is the internal and external context, interested parties?
- Chapter 5: Leadership
  - Requirements and roles of top management in AIMS
- Chapter 6: Planning
  - AIMS risk management: Standard requirements and solution approaches for practice
  - Components of risk management
  - What is the AI impact assessment?
  - How are organization-specific controls appropriately implemented?
- Chapter 7: Support
  - Resources, competence, awareness, documented information
- Chapter 8: Operation
  - Requirements and challenges for maintaining a management system
  - Implementation of the AI impact assessment
- Chapter 9: Performance evaluation
  - Measuring and evaluating with metrics and KPIs
  - Requirements for internal audits
  - Components of management review
- Chapter 10: Improvement
  - Requirements for corrective actions from audits and
  - Security incidents
  - Establishment of a continual improvement process

Part 4: Selected topics from ISO/IEC 42001, Annexes A-D
- Reference control objectives and controls
- Guidelines for implementing AI controls
- Potential AI-related organizational objectives and risk sources

Part 5: Certification & Audits
- The certification cycle

Objectives:

The objective of the course AI120 AIMS Implementation according to ISO/IEC 42001:2023 is to fundamentally understand a management system according to ISO/IEC 42001 and to be able to derive requirements for certifications and audits.

You will receive comprehensive knowledge for the planning, implementation, monitoring, improvement, and ongoing operation of an AIMS.

Furthermore, the course provides a solid foundation for further advanced courses, such as:
AI100 Certified AI Officer
AI135 AI Auditor
AI060 AI GRC Specialist
AI340 AI-driven Risk Mitigation and Efficiency Improvement in ISMS

The certificate title is: "AIMS Implementer according to ISO/IEC 42001"

Target audience:

Responsible for the implementation and execution of ISO/IEC 42001
Compliance Officers
AI Officers
AI Consultants
AI Auditors

Prerequisites:

The course AI120 AIMS Implementation according to ISO/IEC 42001:2023 is designed for both beginners and experienced professionals.
Prior knowledge of management systems (e.g., ISO/IEC 27001, ISO 9001, etc.) is helpful but not a mandatory requirement.

If an AIMS is already implemented in your organization, participants should inform themselves in advance to potentially ask targeted questions and better contextualize course content.

Description:

The workshop AI120 AIMS Implementation according to ISO/IEC 42001:2023 establishes the critical foundations for building an AI Management System.

An AI Management System (AIMS) is a structured framework that helps organizations responsibly monitor AI technologies. The ISO/IEC 42001 standard provides a comprehensive framework for AIMS, ensuring ethical use, transparency, and accountability.

The AIMS framework emphasizes the importance of ethical considerations and promotes continuous improvement of AI systems. It includes practices for the development, deployment, and enhancement of AI systems to ensure their effectiveness and reliability.

By adhering to the ISO/IEC 42001 standard, companies can ensure that their AI systems are both effective and ethically responsible.