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AI Quality Training

Whitepaper

LIVE VIRTUAL TRAINING SCHEDULE

  • 25th - 26th January 2021: AI Quality Training
    9 am to 6 pm | 2 Days

ABOUT THE AI QUALITY TRAINING COURSE

Artificial Intelligence (AI) is increasingly being used in commercial and mission critical applications. AI has not only been successfully applied in customer facing products and services, but also within companies to improve maintenance and skills management. However, there also have been devastating failures with dramatic consequences for users’ health, damage to reputation, and leading to loss of assets. Unfortunately, existing software-centric methods of testing and quality assurance have thus far failed to appropriately address the black box nature of AI. Such methods are not even able to accurately quantify the risks associated with AI components. Given these shortcomings, what should companies do to benefit from AI technology while keeping exposure to risk under control?

TÜV SÜD’s AI Quality Management System (AI-QMS) offers a transparent and objective framework to identify, manage, and mitigate risks associated with AI technologies. It defines an AI specific life cycle model for development and operation of AI based products and services, which covers both AI technology and AI data.

The AI-QMS guides you through the selection of quality goals and assists monitoring by defining conditions of acceptability in response to common pitfalls at each life cycle phase. The successful adoption of the AI-QMS can earn you a quality mark which elevates trustworthiness and minimises uncertainty.

The AI Quality Management Training provides a comprehensive overview on how to successfully apply a quality management system for AI. It provides a background on common AI techniques and list pitfalls and best practices. The knowledge gained in this training will help the learner to apply the methods in their own context and successfully launch AI based products and services.

Duration: 2-day course

WHAT WILL YOU LEARN FROM THE COURSE?

Topics to be covered in this course include:

  • Management Track

    Introduction to AI
    • Overview and differentiation of most used methods
    • Typical application of AI technology
      – Type of problems that AI can solve
      – Advantages using AI
    • Challenges of AI
      – Risks and liabilities
      – Governance
      – AI specific considerations (e.g. privacy, traceability, uncertainty, transparency)
      – Current technology limitations

    Overview of existing regulatory frameworks and standards

    Introduction of the AI Quality framework
    • Safety
    • Security
    • Legal
    • Ethics
    • Performance

    Machine learning life cycle
    • Considerations for AI-technology and AI-data
    • Governance and stakeholder management
    • Best practices

    Outlook on product evaluation and testing
    • Gap assessment
    • Planning of next steps

  • Technology Track

    Introduction to AI
    • Taxonomy and classification of traditional and modern

    AI methods
    • Use-cases of AI
      – Typical application areas and problem statements
      – Overview of modern AI algorithms
    • Challenges of AI
      – Impact on tools and methods for development and testing including AI specific considerations (e.g. privacy, traceability, uncertainty, transparency, etc.)
      – Common problems (e.g. robustness, overfitting, bias, etc.)

    AI reference architecture

    Introduction of the AI Quality framework
    • Safety
    • Security
    • Legal
    • Ethics
    • Performance

    Machine learning life cycle
    • AI component life cycle
    • AI data life cycle
    • Tools and best practices

    Outlook on product evaluation and testing
    • Gap assessment
    • Planning of next steps

 

WHAT IS THE COURSE METHODOLOGY?

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

WHO SHOULD TAKE THE COURSE?

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.

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.

  • 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

  • FAQs
    1. How do I enroll for the course?
      To enroll, fill out the form accordingly.
    2. What is the course methodology?
      Participants will learn through role plays, case studies, group exercises, scenarios and discussions.
    3. Are there any tests in the middle of the course?
      There are no in-between assessments, but case studies will be included in the course.
    4. Can I get a refund if I cancel my enrollment?
      Yes, please contact us at [email protected] for more details. Terms and conditions apply.
    5. Can I also attend E-learning courses on top of attending the instructor-led course?
      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.
    6. Upon completion of the course, would I get a certificate for completion?
      Yes, you will receive a certificate of completion at the end of the course.
    7. Who developed the course and what are their qualifications?
      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. The experts also undergo relevant upskilling programmes, benefitting from TÜV SÜD’s 150 years of expertise and global heritage.

    To know more about TÜV SÜD, please click here.

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