AI Quality and Risk Management Training

Build the skills to lead responsible AI adoption in your organisation.

Training Overview

This two-day AI training programme gives executives and teams the tools to manage AI risks, ensure quality, and meet regulatory expectations across the AI lifecycle. Available both online and in person, the training bridges the gap between traditional governance methods and the specific challenges of Artificial Intelligence.

The course combines theory, real-world use cases, and practical application using the AIQURIS platform. Participants learn how to apply leading standards such as ISO 42001 and ISO 23894 to their own AI use cases and governance structures.

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Topic	Relevant Requirements
AI System Life Cycle Management Understand roles, responsibilities and essential processes throughout the AI System Life Cycle	ISO/IEC 22989 – Terminology ISO/IEC 25059 – AI Quality Model ISO/IEC 5338 – AI Life Cycle Processes
AI System Risk and Quality Management Perform an AI risk assessment and develop a use-case risk profile. Plan, implement and continuously improve the effectiveness of an AI Quality Management System.	ISO/IEC 42001 – Quality Management ISO/IEC 23894 – Risk Management ISO/IEC 42005 – AI Impact Assessment
Data Governance Plan data governance processes throughout the data life cycle. Select relevant quality measures for a use case.	ISO/IEC 8183 – Data Life Cycle ISO/IEC 5259 series – Data Quality
Testing, Qualification and Supplier Management Develop requirements and assessment to qualify and accept an AI system. Set up essential processes to work with vendors, throughout procurement and contract monitoring.	ISO/IEC 17847 ISO/IEC 29119-11 IEEE 3119

Key Concepts

Gain hands-on experience with real-world AI quality and risk management techniques. Learn how to apply ISO and IEC standards to governance, data, and supplier evaluation.

Topic

Relevant Standards

AI System Life Cycle Management

Understand roles, responsibilities and essential processes throughout the AI system lifecycle

ISO/IEC 22989 – Terminology
ISO/IEC 25059 – AI Quality Model
ISO/IEC 5338 – AI Life Cycle Processes

AI System Risk and Quality Management

Perform an AI risk assessment and develop a use-case risk profile.
Plan, implement and continuously improve the effectiveness of an AI Quality Management System.

ISO/IEC 42001 – Quality Management
ISO/IEC 23894 – Risk Management
ISO/IEC 42005 – AI Impact Assessment

Data Governance

Plan data governance processes throughout the data life cycle. Select relevant quality measures for a use case.

ISO/IEC 8183 – Data Life Cycle
ISO/IEC 5259 series – Data Quality

Testing, Qualification and Supplier Management

Develop requirements and assessment to qualify and accept an AI system.
Set up essential processes to work with vendors, throughout procurement and contract monitoring.

ISO/IEC 17847
ISO/IEC 29119-11
IEEE 3119

What you earn

By the end of the training, you will gain:

Comprehensive Knowledge:
You will understand how to manage AI governance, risk, data quality, testing and supplier collaboration.
Hands-On Experience with AIQURIS Platform:
You will apply your knowledge directly by building a use case using the AIQURIS platform.
Certificate of Attendance:
All participants receive a Certificate of Attendance validating their completion of the course.
Certificate of AI Governance & Quality Management Capability: Each attendee who successfully completes the final assessment will be certified by AIQURIS, demonstrating their understanding of AI Quality and Risk and how they can apply it to their organisations.

Who will benefit?

This training is ideal for professionals responsible for scaling and securing AI programmes:

CIOs, CDOs and Heads of AI
AI governance leads, compliance officers and risk managers
Technical teams including data scientists and ML engineers
Procurement and vendor managers

Practical Training Set-up

Mode of delivery:

2 x 4 hours instructor led online sessions
8 hours of self-directed learning through online materials

Required materials:

Computer with high-speed internet connection and webcam
Microsoft Edge or Google Chrome
[Optional] Microsoft Teams

Meet the Course Developers

Dr Martin Saerbeck, CTO and Co-Founder of AIQURIS

Dr Martin Saerbeck brings over two decades of experience in AI, digital innovation, and risk management, specialising in building AI solutions that meet rigorous standards for safety, security, and compliance. As CTO and Co-Founder of AIQURIS – a TUV SUD Venture, he drives the mission to enable organisations to deploy AI in high-stakes environments with confidence. Dr Saerbeck’s work has been instrumental in establishing the TUV SUD AI Quality Framework, which serves as a benchmark for AI auditing and certification across industries such as manufacturing, healthcare, and aerospace.

DR Yao Cheng, Principal AI Expert

Dr Yao Cheng brings a decade of invaluable experience in the cybersecurity and AI sectors. She is a qualified TUV SUD AI Quality Trainer and a certified IEEE CertifAIEd Lead Assessor, specialising in assessing adherence to ethical criteria for AI systems. With a strong track record of academic publications in trustworthy AI technologies, she is also an active member of the Singapore Artificial Intelligence Technical Committee.

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