AI Quality Training

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

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

• 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

To enroll, please fill out the form on the webpage accordingly.

Participants will learn through role plays, case studies, group exercises, scenarios and discussions.

There are no in-between assessments, but case studies will be included in the AI Quality course.

Yes, please contact us at [email protected] for more details. Terms and conditions apply.

An SGTech member is eligible for up to S$500 per pax per training programme. A SGTech member company can send the same employee to five different training programmes and thus claim a total of S$2,500 worth of training support per employee. However, the maximum number of claims an applicant company can make per qualifying period will be capped at 5.

SGTech member can apply for the funding following the below steps:

1. Please submit a Request for Support on Training on SGTech website here (see Item II, section 1, 2, and 3).
2. Upon application approval by SGTech, you may register and make payment for the course with TÜV SÜD accompanied with your proof of membership
3. Upon completion of the training programme, please submit to SGTech: the proof of training completion form (see Item II, section 3) and proof of payment to TÜV SÜD.
4. SGTech will make the fund pay-out to the applicant.

Yes, you can register to any e-learning courses. If you have special requirements, please contact us at [email protected] and we can customise a suitable package for you.

Yes, you will receive a certificate of completion at the end of the AI Quality course.

The AI Quality 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 AI Quality course content based on current business landscape and market requirements. The experts also undergo relevant upskilling programmes, benefitting from TÜV SÜD’s 150 years of expertise and global heritage.