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What is AI compliance certification through the AI Quality Certification Program (AIQCP)?
The AI Quality Certification Program (AIQCP) is a certified training program that provides individuals and organisations with the necessary knowledge and skills to effectively manage the quality of AI systems and products across all organisational functions and industries.
This AI training and certification program has two levels and focuses on the assessment and assurance of AI quality, comprising safety, security, legal, ethics, performance, and sustainability aspects. Level 1 provides foundational knowledge on AI quality, while Level 2 concentrates on the practical implementation of AI quality management systems.
Participants in this program will gain valuable insights into internationally accepted methodologies, standards, regulations, and best practices for AI quality control.
The course provides course materials, templates, and guidance for implementing AI quality management systems. Upon completion and successful examination, participants will be awarded a certificate, proving their competence and ability to assume AI and data quality management responsibilities within their organisations.
This course is a vital foundation for scaling AI, complying with regulations, and demonstrating responsible AI use to mitigate financial, legal, and reputational risks.
Why AI compliance certification through the AIQCP is important
Professionals involved in AI projects at any stage of their lifecycle (from conception to decommissioning) stand to benefit from our AIQCP program. These may include AI developers and engineers, AI practitioners and data architects, data engineers and scientists, quality and technology managers, software developers and engineers, and system administrators.
The program will help you become better at understanding, controlling, and managing the quality of AI. It will impart knowledge and hands-on skills on AI quality, efficient AI scaling, risk management, and regulatory compliance. You will earn a valuable AI safety certification and network with top AI professionals for invaluable insights.
How TÜV SÜD can help you with the AIQCP
TÜV SÜD has deep expertise and competence in AI. We have developed a unique AI quality framework. This consolidates all relevant existing and upcoming standards and regulations to expedite your adoption of AI and data quality.
Our experts who conduct the AIQCP program and issue the AI safety certification are actively involved in standardisation, regulation, and practical implementation of AI quality management systems.
Inspiring trust in technology has been our DNA and has served us as a guiding principle since our inception. Translating this into today’s digital world, we ensure the safety, security, reliability, and robustness of AI systems.
What our AIQCP services include
You will learn the following in our AIQCP course:
- Importance and impact of AI in various industries and societies.
- Challenges and failures in AI and strategies to address them.
- AI system architecture and design principles.
- Identification of AI stakeholders and their roles.
- AI quality model: safety, security, legal compliance, ethics, and performance.
- Risk assessment for AI implementation.
- AI governance process framework and controls.
- AI data quality and data life cycle management.
- Application of AI quality frameworks in daily operations.
- AI standards and regulatory activities.
The course content is as follows.
AIQCP Foundation: Level 1 – Engineer
- Introduction to AI and the need for AI quality
- Current and upcoming standards and regulation of AI
- Roles, responsibilities and liabilities
- Terms and definitions
- Key pillars of AI quality
- The AI quality life cycle
- AI quality management
- Methodology and key elements to establish an AI quality management system
- AI governance requirements
- AI quality management in a case study
- IEEE AI ethics
- Plan an AI quality management system
- Control of AI quality parameters
- Testing and assessing AI
- Multiple Choice Test
AIQCP Professional: Level 2 – Practitioner
This training builds on the AIQCP Engineer Level 1 and helps you apply the AI quality framework to concrete AI products and systems. Participants will also gain an overview of the latest developments in regulations and standardisation. A minimum of 1 year of industry experience in AI quality management are beneficial.
- AI quality framework concepts
- Relevant standards and regulations
- Application methodology, tools and templates
- Qualitative and quantitative metrics
- IEEE AI ethics
- Introduction to use cases
- Step-by-step implementation process
- Design of an individual AI QMS use case
- Presentation and discussion of use case
- Refinement of use case based on lessons learned
- Compiling of an AI quality report for the use case
- Multiple Choice Test
- Design AI QMS to given use case
