AI Coordinator – TÜV

This course is intended for:

• Managing directors and senior leaders
• IT managers and technology decision-makers
• AI and software engineers
• Data analysts and data scientists
• Compliance, risk, and quality managers
• Consultants and AI experts across all industries

• Introduction: Why is AI quality so important?
  • Definition and importance of AI for companies
  • Challenges of AI adoption
  • Risks of AI applications
• The risk-based framework for AI quality
  • The 6 pillars of AI quality: security, cybersecurity, compliance, ethics, performance, sustainability
  • Risk assessment
  • AI Quality Maturity Analysis
• AI readiness of the organization
  • ISO/IEC 42001 Overview
  • Expectations of the context
  • Compliance: Legal requirements, standards and ongoing regulatory activities
  • AI Strategy
  • Required skills and competencies
  • Application example: Maturity profile of a company
• AI Systems
  • AI Reference Architecture Core Areas (Data Quality, AI Models, AI Training)
  • Integration (Execution, Control Flow)
  • Monitoring (Testing and Control)
  • Infrastructure
  • Application example: Maturity analysis of an AI system
• AI Processes
  • AI & Data Lifecycle – Phases and Quality
  • Interaction between AI and data lifecycle
  • Risk management over the entire life cycle
  • Validation and Verification: Methods for AI Explainability
  • Cybersecurity – AI Security, Attacks and Defense
  • Application example: Maturity profile of AI processes
• Planning an AI Quality Management System
  • Roadmap to launch

Artificial Intelligence is increasingly embedded into products, services, and decision-making processes across all industries. While AI offers enormous potential for efficiency, innovation, and competitiveness, it also introduces unique risks related to transparency, bias, safety, security, and regulatory compliance. Traditional IT governance frameworks are often insufficient to address these challenges, particularly due to the “black box” nature of many AI systems.

The AI Coordinator – TÜV training introduces a risk-based AI quality framework designed to support the development, deployment, and operation of trustworthy AI. The framework is grounded in current and emerging international standards and regulations, including ISO/IEC 42001, and reflects cross-industry best practices.

Participants learn how organizations can define and achieve the required maturity level to manage AI quality, mitigate risks, and sustain reliable data and AI pipelines. The course covers both organizational and technical dimensions of AI quality, ensuring a holistic understanding of AI governance.

On the organizational level, the training addresses AI strategy, governance structures, regulatory expectations, organizational readiness, and skills requirements. Participants learn how to assess their organization’s current AI maturity and develop a structured roadmap for AI quality adoption.

On the technical level, the course explores AI reference architectures, data and model lifecycles, validation and verification methods, explainability, and cybersecurity considerations. AI risks such as adversarial attacks, data quality issues, and unintended model behavior are discussed in depth.

A detailed case study runs throughout the training, enabling participants to apply the AI quality framework in practice—evaluating risks, defining controls, and planning an AI quality management system. Upon completion, participants are well prepared to take on the role of AI Coordinator and support responsible, compliant, and high-quality AI initiatives within their organization.

Participants will be able to:

• Understand AI-specific risks and why conventional IT governance is insufficient
• Apply a structured, risk-based AI quality framework across the AI lifecycle
• Ensure compliance with international standards, regulations, and ethical requirements
• Assess organizational and system-level AI maturity
• Reduce reputational, legal, and operational risks related to AI
• Plan and implement an AI quality management system
• Demonstrate organizational competence and responsibility in AI usage
• Receive certification as AI Coordinator – TÜV from TÜV SÜD Academy

• Instructor-led training in a virtual classroom
• Expert-led presentations and guided discussions
• Practical examples and real-world use cases
• Interactive exercises and group work
• Comprehensive case study throughout the course

This training is conducted by an instructor in a virtual classroom, which means that the course is live online. Participants will learn through online teaching methods, including lectures, case studies, group exercises, discussions, problem solving, and examples with explanations. Additionally, there will be assignments and quizzes during the virtual classroom training. Participants should connect to the class from any location with internet access.

Each module is delivered live using webinar technology, creating a virtual classroom learning environment. Live sessions provide direct access to the trainer, allowing participants to ask questions, understand complex concepts, and share ideas with peers. It is REQUIRED to have a webcam and microphone in order to interact with the instructor and other participants.

The course content and structure are designed by the domain experts from TÜV SÜD. With immense experience and knowledge in the relevant standards, our team of product specialists and technical experts at TÜV SÜD, developed the course content based on current business landscape and market requirements.

Online Examination Requirements

Participants must ensure:

• A self-contained private room or office free from interruptions
• The entire room and workspace can be shown via webcam upon request
• No materials present except those explicitly allowed
• No other electronic devices powered on nearby
• A quiet environment free of background noise
• Adequate lighting equivalent to daylight
• Full compliance with all online proctoring instructions

Violations (e.g., phone calls during the exam, failure to follow requirements, presence of unauthorized materials) may lead to disqualification or a finding of attempted cheating. Participants are prohibited from creating or distributing any exam content.

• Continuous knowledge checks during the training
• Practical exercises and case study analysis
• Active participation in discussions and group work
• Exam Format:
  Final examination (multiple choice): 30 questions
  Duration: 60 minutes
  Delivery: Online, proctored in real time
  Pass mark: 60% of the total point
  Candidates may communicate with the online proctor via chat
  Participants must follow all instructions provided by the examination supervisor
  A suitable private testing environment is required (see exam requirements below).
  

Successful completion leads to the AI Coordinator – TÜV certificate issued by TÜV SÜD Academy.

• No formal prerequisites required
• Basic knowledge of common machine learning algorithms is recommended

1. Why should I become an AI Coordinator – TÜV?

Artificial intelligence has become a key enabling technology at the center of many corporate initiatives, creating a strong demand for qualified and well-trained specialists.

As a certified AI Coordinator – TÜV, you act as the tactical hub for the application of artificial intelligence within an organization. You translate abstract AI concepts into concrete, practical projects and actively accelerate digital transformation. This two-day, foundation-level training with examination equips you to identify suitable AI use cases, analyze risks and opportunities, and support the successful implementation of AI projects.

The training focuses on all aspects of AI quality, including legal requirements, international standards, and upcoming regulatory developments. You gain practical tools to assess your organization’s maturity level in the safe and responsible use of artificial intelligence and learn how to identify and avoid potential sources of error during AI adoption. As an AI Coordinator, you serve as a trusted expert for all stakeholders involved in AI initiatives.

AI Coordinators are increasingly sought after—not only as key internal resources within companies and organizations, but also as external consultants. The certification also provides a clear career development pathway within the TÜV SÜD Academy. Upon successful completion, your AI Coordinator – TÜV certification qualifies you to participate in the advanced training to become an AI Officer – TÜV.

2. What is the AI Coordinator Training Course?

The AI CoordinatorTraining Course trains professionals to manage AI quality, risk, and compliance. This two-day course covers legal standards, AI lifecycle frameworks, and risk-based planning. Participants gain practical expertise andreceive a certificate demonstrating their ability to guide safe and effective AI implementation. Why AI quality and governance matter.

3. What is the goal of the AI Coordinator Training Course?

The course equips professionals to manage AI quality and risk across all lifecycle stages. Participants learn to identify AI opportunities, ensure compliance with emerging standards, and lead responsible AI implementation within their organisations.

4. How long is the AI Coordinator Training Course?

The course runs for two intensive days, combining theoretical knowledge with hands-on exercises, practical examples, and a certification exam at the end.

5. What prior knowledge do I need?

No formal prerequisites are required. However, basic familiarity with machine learning concepts or data-driven technologies is beneficial for understanding the course material more effectively.

6. What types of organizations does TÜV SÜD Academy train in the AI Coordinator course?

TÜV SÜD Academy trains professionals from a wide range of industries, including technology, manufacturing, automotive, healthcare, finance, and public research. Our clients trust TÜV SÜD to build practical AI competence and demonstrate responsible, compliant use of AI across their operations.

7. How is the course structured?

It consists of 9 sections and 10 modules covering AI quality fundamentals, risk assessment, ISO/IEC 42001, data and process maturity, explainability, and cybersecurity, culminating in a roadmap for AI quality management.

8. What certification will I receive?

Upon successful completion of the exam, you will receive the “AI Coordinator – TÜV” certificate, demonstrating competence in AI quality management and compliance under TÜV SÜD standards.

9. How does this training support career growth?

Certified AI Coordinators are in high demand for roles involving AI project management, compliance, and governance. The certification also qualifies you to progress to the advanced AI Officer –TÜV programme.

10. Can this course be delivered in-house for my team?

Yes. TÜV SÜD Academy offers custom in-house delivery for teams, allowing organizations to tailor content to specific AI applications and governance needs.