Live Training: Bias and Fairness in AI Systems Red Belt Certification
Focus
ISO/IEC TR 24027 and TS 12791
Where
Online or In-Person
Duration
3 Days + 0.5 Day Exam
Target Audience
Engineers
Managers
Prerequisits
None
Overview
While Artificial Intelligence (AI) is revolutionizing industries and decision-making processes, it faces the critical challenge of addressing biases that can inadvertently influence outcomes. Our course, “Bias and Fairness in AI Systems,” is designed to equip learners with essential skills to identify, analyze, and mitigate unwanted biases in AI and machine learning models. This course ensures participants understand best practices and technical specifications for managing bias and addressing fairness according to ISO/IEC TR 24027 and ISO/IEC TS 12791 standards.
Next Training
To be Announced
By the end of this course, participants will be able to detect all types of bias and implement effective mitigation strategies, ensuring fairness and accountability in AI systems.
- Understand the sources and types of biases in AI systems.
- Learn advanced techniques for detecting and measuring bias.
- Gain hands-on experience with tools and frameworks for bias mitigation.
- Implement effective strategies to ensure fairness and accountability in AI.
Day 1: Introduction to Bias in AI Systems
- Overview of AI Systems and Bias
- Sources and Types of Bias
- Impacts of Bias in AI Systems
- Fairness in AI Systems
Day 2: Detecting and Measuring Bias
- Bias Detection Techniques
- Methodologies for Uncovering Bias
- Case Studies and Examples
- Tools and Frameworks for Bias Detection
Day 3: Mitigating and Managing Bias
- Bias Mitigation Strategies
- Adversarial Methods and Fair Algorithms
- Bias Mitigation in Practice
- Verification and Validation of Bias Mitigation
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 “Bias and Fairness in AI 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?
- ISO 42001 AI Management System
- EU AI Act: From Theroy to Practice
- Data Quality 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.