AI Quality Executive 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

LIVE VIRTUAL TRAINING SCHEDULE

• 17th Jan 2023: AI Quality Executive Training 
  12pm - 2pm GST | 1 Day

ABOUT THE AI QUALITY TRAINING COURSE

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 the executive training to ensure that organisational leaders are aware of the skills required 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: 2hrs
Language: English

What will you learn from the course?

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.

 

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

 

WHAT IS THE COURSE METHODOLOGY?

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

WHO SHOULD TAKE THE COURSE?

This course is specially designed for:

• Top-level management
• Technical management 

Prerequisite: For an easier learning experience, 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.

WHO IS THE COURSE ADVISOR?

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.

WHY CHOOSE TÜV SÜD AI TRAINING?

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


FREQUENTLY ASKED QUESTIONS

 

Watch the on-demand webinar for AI Quality here.

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