AI Quality Training

A practical guide to gain the required knowledge to master AI quality

A practical guide to gain the required knowledge to master AI quality


  • 30th Sep 2022: AI Quality Training (Executive)
    2 pm to 4 pm SGT | 0.5 Day
  • 6th - 7th Oct 2022: AI Quality Training (Expert)
    3am to 12pm SGT | 2 Days (For Europe region)
  • 10th - 11th & 17th - 18th Oct 2022: AI Quality Training (Expert)
    2 pm to 6 pm SGT | 4 Days
  • 19th Oct 2022: AI Quality Training (Executive)
    2 pm to 4 pm SGT | 0.5 Day

Note: SGTech members can apply for course funding under STAR FUND 2.0 and receive up to S$500/pax funding. Please refer to FAQ for more details.


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

TÜV SÜD has developed training modules catered to Executives and Experts that equip organisations with skills to govern AI quality – a prerequisite to develop and adopt AI at scale. Our AI experts will guide you through quality requirements that include existing and upcoming AI standards, regulations, benchmarks, and industry best practices. 

Duration: AI Quality (Expert) - 16hrs; AI Quality (Executive) - 2hrs
Language: English


Topics to be covered in this course include:

  • AI Quality Training – Roles and responsibilities for leaders (Executive – 2h)

    In this training course, organisational leaders will learn to identify and manage individual and organisational risks associated with AI technology, understand the impact of AI regulations and standards, and acquire knowledge about AI performance metrics and industry best practices. Participants will comprehend their roles, responsibilities and liabilities and will be enabled to plan their AI development and adoption strategy.

    1. Motivation

    • Introduction to AI and the need for AI quality
    • Current and upcoming regulation of AI 
    • Roles, responsibilities and liabilities

    2. AI quality framework to establish trust in AI and scale AI applications

    • Compliance of AI systems and services
    • Readiness of organisations as developer and adopter
    • Performance metrics and industry best practices

    3. Path towards AI quality

    • Skills and responsibilities - Train your AI leads and assign roles to implement AI quality
    • Assess your organisation’s AI quality readiness
    • Stepwise implementation of AI quality framework
  • AI Quality Training – Leading the way to success (Expert – 16h)

    TÜV SÜD’s AI Quality Training course for professionals developing or deploying AI systems or products provides an introduction and comprehensive overview of the governance and technical requirements to manage quality of AI systems. Our AI experts will reveal the importance of the organisational setup and enable participants to differentiate AI-specific challenges and select the respective matching AI technology for their use cases. The training will cover imperative requirements for AI system and AI data management, a risk assessment process to identify and manage relevant quality measures, essential AI quality controls, and industry best practices. The course offers participants the opportunity to receive a certificate to document skill development and organisation’s commitment to meet AI quality requirements.

    1. The basics: Why do we need dedicated AI Quality Framework?

    • Introduction to AI quality
    • AI technologies: Strengths and weaknesses of core algorithms and how to choose the right one
    • AI challenges and failures
    • AI reference architecture: How to describe an AI system and its boundaries
    • Case study

    2. The understanding: How can we define quality of AI?

    • Concepts of AI quality
    • AI stakeholders
    • AI system quality model: safety, security, legal, ethics, performance
    • AI process model
    • AI governance
    • AI risk assessment
    • Case study

    3. The solution: A comprehensive and compliant AI quality framework

    • AI system life cycle
    • AI data quality model
    • AI data life cycle
    • AI standards AI regulation
    • Case study

    4. The application: Applying AI quality framework in day-to-day operation

    • AI quality Controls
    • AI explicability
    • AI robustness
    • AI cybersecurity
    • AI testing
    • Case study



Participants will learn through lectures, case studies, group exercises and discussions.


This course features two main tracks, specially designed for::

1. Management track
• Top-level management
• Technical management

2. Technology track
• AI practitioners
• Users of AI technology

Prerequisite: For an easier learning experience in the technology track, a background in common machine learning algorithms such as deep learning is beneficial. The course does not require an in-depth knowledge of a specific library or programming language.


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.


Our trainers are AI experts. We are not merely keeping abreast with the latest algorithms, upcoming standards and 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.

“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

  • What are the benefits of enrolling in this course?
    • World-class training – by learning from TÜV SÜD’s industry experts and training specialists
    • Interactive learning style – with interactive formats such as lectures, illustrations and simulations are used
    • Networking opportunity – where you can meet and build network with like-minded individuals at our instructor-led training
    • Gain a competitive edge – by getting trained by experts known in the fields of safety, security and sustainability




Watch the on-demand webinar for AI Quality here.

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