Live Training: Data Quality Management in AI Systems Red Belt Certification
Focus
ISO/IEC 5259 Part 1 – 5
Where
Online or In-Person
Duration
3 Days + 0.5 Day Exam
Target Audience
Engineers
Managers
Prerequisits
None
Overview
This comprehensive course, “Data Quality Management in AI Systems,” ensures participants understand best practices and technical specifications for managing data quality in AI systems according to international standards ISO/IEC 8183 and the ISO/IEC 5259 series. Learners will gain essential knowledge and practical skills to manage data quality effectively throughout the AI system lifecycle.
Next Training
To be Announced
Throughout this course, you will gain essential knowledge and practical skills to manage data quality in AI systems, ensuring adherence to international standards.
- Understand the data life cycle stages in AI systems.
- Learn advanced techniques for ensuring data quality.
- Gain hands-on experience with tools and frameworks for data quality management.
- Implement effective strategies to ensure high-quality data for AI systems.
Day 1: Introduction to Data Quality in AI Systems
- Overview of Data Quality Impact in AI Systems
- Data Life Cycle Stages
- Data Quality Objectives and Stakeholders
- Data Quality Challenges
Day 2: Techniques and Tools for Data Quality Management
- Data Collection and Preparation
- Data Quality Measurement and Assessment
- Data Quality Management Processes
- Tools and Technologies for Data Quality
Day 3: Advanced Data Quality Management and Applications
- Data Governance and Compliance
- Advanced Data Quality Techniques
- Data Quality Metrics and Reporting
Day 4: Exam
- Covering all the lectures
- Multiple choice questions
- Conformity assessment report on real high-risk use cases
Below is a list of all our open classroom sessions, which bring together participants from various companies.
| Location | Language | Register Interest | |
| 2025 | Online | English | to be announced |
| 2025 | Online | English | to be announced |
| 2025 | Online | English | to be announced |
We also offer company-specific sessions tailored to your organization’s unique needs upon request. Please don’t hesitate to contact us for more information about these sessions.
Frequently asked questions
Does this training require any prerequisites?
This training has been designed to be accessible regardless of your background. Therefore, there are no prerequisites to follow this training. The only requirement is to have a good understanding of English or the language in which the training is given. A basic understanding of AI, however, helps.
Will I receive a certificate after the training?
Yes, every attendee will receive a certificate of participation after the training. Additionally, we offer a personal certification valid for three years, which you can obtain by passing an optional exam with a score of over 75%. This certification, titled “Data Quality Management Red Belt,” also qualifies you for the advanced Black Belt training. The section below about “CertX personal certification scheme” explains this process in detail.
Does CertX offer others training?
- EU AI Act: From Theory to Practice
- AI Management System
- Bias and Fairness in AI Systems
- Transparency and Explainability of AI Systems
- Reliability and Safety of AI Systems
Do not hesitate to check out CertX’s complete training portfolio on: AI Training Courses
CertX Personal Certification
This certification can be used to validate the necessary qualifications to develop safe, secure, and compliant products or to support career advancement and growth.
Our team of trainers at CertX brings expert knowledge and extensive experience in functional safety, cybersecurity, and AI to our personal certification program. We offer trainings and workshops worldwide, available as open classroom sessions or in-house trainings.
CertX Personal Certification Scheme
CertX offers a structured qualification program to certify engineers and managers, with three levels based on experience and competencies:
- Red Belt: This certification ensures that engineers passing the exam have proficient basic knowledge in functional safety or cybersecurity.
- Black Belt: This certification ensures that engineers and managers who have already achieved the Red Belt certification possess advanced knowledge and skills. It requires at least three years of practical experience in functional safety or cybersecurity activities, demonstrating a deeper understanding and application of these principles.
- Master: This certification ensures the expertise of highly skilled engineers and managers with at least five years of experience in functional safety or cybersecurity. These trainings are dedicated to individuals in responsible positions.