Certified AI Quality Engineer – AIQCP Exam (Level 1)
Demonstrating your competence in the fundamentals of AI quality
Assessing and ensuring the quality of AI systems requires in-depth expert knowledge.
Our AI Quality Certification Program (AIQCP) offers you the opportunity to prove your AI competence and take responsibility in AI and data quality management.
- You will receive proof of your in-depth knowledge of the methods, regulations and best practices for ensuring AI quality
- Your company has the opportunity to demonstrate the responsible use of AI by employing competent experts
Who Should Attend?
This examination is aimed at:
- Participants of the seminar "Fundamentals of AI Quality"
- AI and Data Engineers
- Software Developers and System Administrators
- AI Practitioners and Quality Managers
Course Description
AIQCP is a 3-level certified personnel training program. The training addresses the assessment and assurance of the quality of AI systems and AI products across all industries. You learn to analyse and implement AI quality management systems, whether you are supplier, provider, uses or maintainer 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 to reach a high quality, trustworthy AI. All necessary aspects of AI quality comprising safety, security, legal, ethics, performance and sustainability are covered. AIQCP is the key to unlock the right competencies for AI quality management.
The complete programme is divided into 3 different proficiencies: foundation, practitioner, and expert, and for each level, an examination is passed.
The AI Quality Certification Program (AIQCP) Engineer Examination is the corresponding learning assessment to our AI Quality Foundation (Level 1) training course in which the participant equips with the basic knowledge of:
- why AI quality matters
- how AI quality can be defined
- how AI quality can be defined
This examination consists of a Multiple-Choice Test. It is a Virtual-Instructor led test (presented using MS Teams).
Methodology
AI Quality Engineer Exam - Level 1:
- Open-Book Online Exam
- 40 multiple-choice questions
- Exam time: 75 minutes
Learning Assessments
"AI Quality Engineer" certificate from the TÜV SÜD Academy
Prerequisites
Participation in the seminar "Fundamentals of AI Quality"