AI Quality Certification Program (AIQCP)

A practical guide to gain the required knowledge to master AI quality

A practical guide to gain the required knowledge to master AI quality

Managing the quality of AI enables organisations to scale AI, comply with regulations and demonstrate the responsible use of AI. Without AI quality management, organisations expose themselves to significant financial, legal or reputational risks. TÜV SÜD’s AI Quality Certification Program (AIQCP) provides the knowledge of what AI quality is, how it can be managed, and certifies your qualification to manage AI quality in practice.

Why attend?

AIQCP is a 3-level certified personnel training program for the assessment and assurance of the quality of AI systems and products across all industries. The program enables participants to analyse and implement AI quality management systems for organisations, whether they are suppliers, providers, users or maintainers of AI. Based on current and upcoming standards, regulations and best practices from Industry and Academia, this certified program ensures that internationally accepted methodologies are applied, and respective requirements are met. All necessary aspects of AI quality comprising safety, security, legal, ethics, performance and sustainability are covered. AIQCP equips you with the right competencies for AI quality management

 

What will you get?

Our AI quality experts, who are actively involved in AI standardisation and regulation will guide you through this course. You will receive compiled course materials and templates, which serve as starting point and reference for your AI quality management endeavours. After completing the modules in each level and successfully passing the examination, you will receive a certificate, which documents that you meet the prerequisites and dispose of the skills to take over responsibility in AI quality management across the entire life cycle in your organisation.

Who should attend?

This programme is aimed at professionals who want to understand, control and manage quality of AI and are involved in projects at any stage of the AI life cycle, from conception to decommissioning. Typical profiles include quality and compliance managers, AI and SW engineers, architects, scientists, and data analysts.

Course Description

The programme is divided into 3 different proficiency levels that correlate with a professional's knowledge, qualifications and experience: foundation, intermediate, and expert. For each level, the corresponding modules must be completed, and an examination must be passed.

 

 

  • AIQCP Engineer: Level 1 - Foundation

    This 2-day training course equips the participant with the basic knowledge of why AI quality matters, how AI quality can be defined, and how AI quality management can be implemented. Participants also gain a general overview of current and upcoming standards and regulations, stakeholder roles, responsibilities and liabilities along the AI life cycle.

    Course content:

    1. Motivation and requirements
      • Introduction to AI and the need for AI quality
      • Current and upcoming standards and regulation of AI
      • Roles, responsibilities and liabilities
    2. AI quality
      • Terms and definitions
      • Key pillars of AI quality
      • The AI quality life cycle
      • AI quality management
    3. AI quality framework
      • Methodology and key elements to establish an AI quality management system
      • AI governance requirements
      • AI quality management in a case study
    4. Applying AI framework
      • Plan an AI quality management system
      • Control of AI quality parameters
      • Testing and assessing AI
    5. Examination
      • Multiple Choice Test

    With the AIQCP Engineer certificate the candidate proves the basic knowledge and understanding of AI quality concepts.

  • AIQCP Professional: Level 2 - Intermediate

    This 2.5-day training builds on the AIQCP Engineer Level 1 and enables the participant to apply the AI quality framework to concrete AI products and systems and respective organisations. Participants will also gain an overview of the latest developments in regulations and standardisation. A minimum of 2 years of industry experience in AI quality management are required.

    Course content:

    1. Recap of AI quality
      • AI quality framework concepts
      • Relevant standards and regulations
      • Application methodology, tools and templates
      • Qualitative and quantitative metrics
    2. Application of AI quality framework
      • Introduction to use cases
      • Step-by-step implementation process
      • Design of an individual AI QMS use case
    3. Analysis
      • Presentation and discussion of use case
      • Refinement of use case based on lessons learned
      • Compiling of an AI quality report for the use case
    4. Examination
      • Multiple Choice Test
      • Design AI QMS to given use case

    With the AIQCP Professional certificate the candidate proves comprehensive knowledge of AI quality, the ability to implement an AI QMS in practice and the skills to take over AI quality responsibilities.

  • AIQCP Expert: Level 3 - Expert

    This 2.5-day training builds on AIQCP Professional Level 2 and enables the participant to design and implement an AI quality framework into an organisation along the whole AI life cycle. A minimum of 3 years of industry experience in AI quality management with at least 2 implementation projects in a responsible position are required. 

    Course content:

    1. AI quality framework for experts
      • Deep dive into obligatory and voluntary AI quality requirements
      • Updates on AI standards and regulations
      • Quantitative and qualitative metrics
      • Documentation best practices
    2. Application of AI quality framework along the life cycle
      • Introduction of AI quality use cases
      • Best-practice AI quality implementation process
      • Analysis of AI quality controls
      • Preparation of AI QMS documentation for audit
    3. Review and improvement
      • Presentation and discussion of use case
      • Refinement of use case based on lessons learned
      • Finalisation of Assessment report of use case
    4. Examination
      • Multiple Choice Test
      • Design AI QMS to a given complex use case

    With the AIQCP Expert certificate the candidate proves expert understanding of AI quality, the ability to implement AI QMS along the entire life cycle, and the skills to take over comprehensive AI quality responsibilities.

  • AIQCP Schedule

    AI Quality Training Module

    Region

    Training Dates

    Training Time (Timezone)

    Language

    AIQCP Engineer: Level 1 - Foundation

    Asia Pacific & Europe

    18, 19 & 20 Jan

    SGT: 1500hrs – 1900hrs (UTC +8)

    CET: 0800hrs – 1200hrs (UTC +1)

    English

    AIQCP Engineer Examination

    Asia Pacific & Europe

    23 Jan

    SGT: 1500hrs – 1900hrs (UTC +8)

    CET: 0800hrs – 1200hrs (UTC +1)

    English

    AIQCP Engineer: Level 1 - Foundation

    Americas

    22, 23 & 24 Feb

    SGT: 2200hrs – 0200hrs (UTC +8)

    EST: 0900hrs – 1300hrs (UTC -5)

    PST: 0600hrs – 1000hrs (UTC -8)

    English

    AIQCP Engineer Examination

    Americas

    27 Feb

    SGT: 2200hrs – 0200hrs (UTC +8)

    EST: 0900hrs – 1300hrs (UTC -5)

    PST: 0600hrs – 1000hrs (UTC -8)

    English

    Sign up now

    For partners, group discounts, existing customers or academic discounts contact us at [email protected].

     


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