Artificial Intelligence Quality Trainings

A comprehensive set of practical trainings to master AI & Data quality

A comprehensive set of practical trainings to master AI & Data quality


Benefitting from AI requires more than just implementing the technology. You need to understand AI standards and regulations, identify the impact of AI on your business and manage the quality accordingly.


TÜV SÜD has developed a comprehensive training offer catered to executives, AI practitioners and AI experts, as well as quality managers. Our training modules provides you the skills to govern AI quality – a prerequisite to successfully develop AI at scale. Our AI experts will guide you through existing and upcoming AI standards, regulations, benchmarks, and industry best practices.



“The TÜV SÜD Seminar on AI Quality Management is a must for responsible AI developers building the solutions of a digital tomorrow. The seminar is comprehensive and it gives an excellent overview of the breadth of AI Quality. Hands-on examples, carefully selected references, and good seminar documentation provide a north star for our own developments.”

- Dr. Christoph Hofmann, Head of Cooperative Safety Solutions, SICK AG


In order to book your training, you need to select your country of residence:


For partners, general inquiries, group training discounts or academic discounts contact us at [email protected].



Our trainers are AI experts. We are not merely keeping abreast with the latest algorithms, upcoming regulations in AI, but are actively shaping the standardisation and regulatory landscape. We provide thought leadership by contributing to key committees and publishing academic, peer-reviewed papers. Our trainings consolidate decades of history in assessing and managing technical systems quality, combined with our close-to-market AI quality audits and advisory services.

With TÜV SÜD, you can learn to:

  • differentiate technology that is governed by AI standards and regulations
  • manage risks and opportunities in AI
  • identify attack vectors such as adversarial attacks and how to eliminate them
  • define quality criteria such as robustness, accuracy, reliability, explicability and methods how to control them
  • classify AI roles, responsibilities, and liabilities for organisations and individuals 
  • specify key components of AI governance

Throughout the training, our experts will illustrate the concepts with practical real-world use cases.


our training portfolio


Artificial Intelligence

Establish trust, stay relevant, and utilise the full potential of AI

Learn More

AI Quality Guided Assessment

A Systematic approach to assure AI quality and compliance

Learn More

AI Quality Readiness Analysis

Check your organisation's AI quality readiness

Learn More

Next Steps

Site Selector