ISO/IEC 42001 Artificial Intelligence Management System Lead Implementor (PECB Certified) - Including Exam

This training course is intended for:

- Professionals responsible for overseeing and managing AI projects
- Consultants advising on AI implementation strategies
- Expert advisors and specialists aiming to master the practical implementation of AIMS in accordance with ISO/IEC 42001
- Individuals tasked with ensuring that AI projects adhere to AI requirements within an organization
- Members of AIMS implementation teams involved in the implementation of AI systems
- Executives and managers seeking to make informed decisions regarding AI implementation and its alignment with ISO/IEC 42001

After successfully completing the training course, you will be able to:

• Explain the fundamental concepts and principles of an AIMS based on ISO/IEC 42001
• Interpret the ISO/IEC 42001 requirements for an AIMS from the perspective of an implementer
• Initiate and plan the implementation of an AIMS based on ISO/IEC 42001 by utilizing PECB’s IMS2 Methodology and other best practices
• Support an organization in operating, maintaining, and continually improving an AIMS based on ISO/IEC 42001
• Prepare an organization to undergo a third party certification audit

Day 1: Introduction to ISO/IEC 42001 and the initiation of an AIMS implementation

Day 2: Planning the implementation of an AIMS

Day 3: Implementation of an AIMS

Day 4: AIMS monitoring, continual improvement, and preparation for the certification audit

• The main requirement for participating in this training course is having a general knowledge of the AIMS and ISO/IEC 42001.

• ISO42001F - ISO/IEC 42001 Artificial Intelligence Management System Foundation (PECB Certified) - Including Exam

Examination

The “PECB Certified ISO/IEC 42001 Lead Implementer” exam meets all the PECB Examination and Certification Program (ECP) requirements. It covers the following competency domains:

Domain 1: Fundamental principles and concepts of an artificial intelligence management system (AIMS)

Domain 2: Artificial intelligence management system requirements

Domain 3: Planning of an AIMS implementation based on ISO/IEC 42001

Domain 4: Implementation of an AIMS based on ISO/IEC 42001

Domain 5: Monitoring and measurement of an AIMS based on ISO/IEC 42001

Domain 6: Continual improvement and preparation for an AIMS certification audit

Certification

After passing the exam, you can apply for one of the credentials listed in the table below. You will receive a certification once you fulfill all the requirements of the selected credential.

PECB Certified ISO/IEC 42001 Provisional Implementer

• Exam: PECB Certified ISO/IEC 42001 Lead Implementer exam or equivalent
• Professional experience: None
• AIMS project experience: None
• Other requirements: Signing the PECB Code of Ethics

PECB Certified ISO/IEC 42001 Implementer

• Exam: PECB Certified ISO/IEC 42001 Lead Implementer exam or equivalent
• Professional experience: Two years: At least one year in artificial intelligence
• AIMS project experience: At least 200 hours of project activities
• Other requirements: Signing the PECB Code of Ethics

PECB Certified ISO/IEC 42001 Lead Implementer

• Exam: PECB Certified ISO/IEC 42001 Lead Implementer exam or equivalent
• Professional experience: Five years: At least two years in artificial intelligence
• AIMS project experience: At least 300 hours of project activities
• Other requirements: Signing the PECB Code of Ethics

PECB Certified ISO/IEC 42001 Senior Lead Implementer

• Exam: PECB Certified ISO/IEC 42001 Lead Implementer exam or equivalent
• Professional experience: Ten years: At least seven years in artificial intelligence
• AIMS project experience: At least 1,000 hours of project activities
• Other requirements: Signing the PECB Code of Ethics

To be considered valid, these activities are considered:

1. Development of AI-powered solutions
2. Design of AI-based systems
3. Management of AI project portfolios
4. Leading AI innovation teams
5. Development of AI strategy and roadmap
6. Implementation of AI governance and compliance programs
7. Design of AI-based data pipelines
8. Implementation of AI-powered business intelligence solutions
9. Development and deployment of AI-powered cybersecurity solutions
10. Development and implementation of AI-powered autonomous systems
11. Management and design of AI-based predictive analytics
12. Development of machine learning models
13. Training and deployment of language learning models
14. Implementation of natural language processing (NLP) solutions
15. Development of sentiment analysis and text classification models

Educational Approach

- This training course combines theoretical concepts and practical examples based on real-world applications of artificial intelligence, enabling participants to grasp the practical aspects of implementing AIMS.
- The training course contains essay-type exercises and multiple-choice quizzes, some of which are scenario-based.
- The participants are encouraged to collaborate and engage in meaningful discussions with fellow learners while tackling quizzes and exercises.
- The quiz format closely mirrors that of the certification exam, ensuring participants are well-prepared for their exam.

General Information

- Certification and examination fees are included in the price of the training course.
- Participants receive training course materials containing over 400 pages of information, practical examples, exercises, and quizzes.
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course.
- Candidates who have completed the training course but failed the exam are eligible to retake the exam once for free within 12 months from the initial date of the exam.