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AI135: AI Auditor according to ISO/IEC 42001, VDE SPEC 92006, TÜV AI.AM

Artificial Intelligence - Audit

Participants receive a practical introduction to the evaluation and auditing of AI systems in line with current legal and technical standards. The course covers the EU AI Act, ISO/IEC 42001, data protection laws, and practice-oriented auditing procedures. It addresses risk assessment, conformity testing, and specialized methods such as VDE SPEC 92006 and the TÜV AI Assessment Matrix.

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Hybrid training	2025-11-17 \| 10:00 am	2025-11-19 \| 05:00 pm	Nürnberg

Possible course languages: German

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Hybrid training

Start: 2025-11-17 | 10:00 am

End: 2025-11-19 | 05:00 pm

Location: Nürnberg

Price: 2.390,00 € plus VAT.

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Agenda:

Module 1: Fundamentals and legal framework

Introduction to AI systems
- Types of AI systems and their applications
- Basic AI architecture and functionality
- Current developments and trends

Legal foundations
- EU AI Act and its implications
  - Risk classification according to EU AI Act
  - What are conformity assessments
  - Conformity assessment procedures for different levels
  - Definition explanation minimal risk vs. no risk
  - Requirements for conformity assessment bodies
  - Documentation requirements and technical documentation
  - Declaration of conformity and CE marking
  - Identification and assessment of AI-specific risks
  - Active and passive risk management
- International regulations and standards
  - AI management systems according to ISO/IEC 42001
    - Structure and requirements of ISO 42001
    - Integration into existing management systems
    - Process landscape and documentation pyramid
    - Roles and responsibilities
- Data Protection Requirements (GDPR)

Module 2: Technical aspects and testing methods

Ethical evaluation of AI systems
- Relevance of ethical evaluations
- Conceptual overview
Technical evaluation of AI systems
- Assessment of training data and data pipelines
- Model validation and performance metrics
- Bias detection and evaluation
Security and robustness
- Cybersecurity for AI systems
- Adversarial attacks and defense strategies
- System stability and fault tolerance
Quality assurance and audit fundamentals
- Continuous monitoring
- Principles and methods of AI audits
- Audit trail and traceability

Module 3: Testing procedures for AI systems – Theory & Practice

VDE SPEC 92006
TÜV AI.AM

Certification examination

Objectives:

Gain an understanding of the fundamentals and operation of AI systems.
Obtain an overview of the legal framework, particularly the EU AI Act and its risk classification.
Acquire knowledge of the requirements for conformity assessments and documentation for AI systems.
Develop the ability to analyze technical aspects of AI systems such as model validation, bias detection, and performance evaluation.
Gain insight into testing methods and specific procedures like the VDE SPEC 92006 and TÜV AI.Lab Assessment Matrix.
Develop the ability to apply ethical, security, and regulatory requirements to own AI systems.
Acquire practical knowledge for conducting audits and quality assurance measures.

Additionally, the course provides a solid foundation for further courses, such as:

AI100 AI Officer
AI060 AI GRC Specialist

Target audience:

AI Auditors
Compliance Officers
Responsible for the Implementation and Execution of ISO/IEC 42001:2023
AI Officers
AI Consultants

Prerequisites:

Prior attendance of the AI120 AIMS Implementation according to ISO/IEC 42001:2023 or experience with management systems as well as prior basic engagement with ISO/IEC 42001:2023
Prior attendance of the SC135 Internal Auditor or comparable audit knowledge

Description:

Our course AI135 AI Auditor according to ISO/IEC 42001, VDE SPEC 92006, TÜV AI.AM offers a comprehensive introduction to the assessment and auditing of Artificial Intelligence in accordance with current legal and technical standards.

Participants will learn how AI systems can be developed, audited, and monitored to meet legal and ethical requirements. This includes a focus on the EU AI Act, international standards such as ISO/IEC 42001, and relevant data protection laws (e.g.,
GDPR). A particular emphasis is placed on risk assessment, compliance auditing, and auditing methods for AI systems, including specialized approaches such as the VDE SPEC 92006 and the TÜV AI Assessment Matrix.

The course imparts the necessary knowledge to deploy AI technologies safely, effectively, and responsibly. Complemented by practical content and proven auditing procedures, it prepares participants optimally for the challenges in the field of AI audits.