ISO/IEC 42001 Lead Implementer

The ISO/IEC 42001 Lead Implementer training course provides the participants with the essential competencies needed to effectively plan, implement, manage, monitor, maintain, and continually improve an artificial intelligence management system (AIMS).

Why Should You Attend?
Artificial intelligence (AI) is becoming a driving force in today’s technology landscape. Its application has spanned across numerous sectors. Its rapid expansion brought unique challenges and considerations that demand specific expertise to ensure its effective implementation and responsible management. The PECB ISO/IEC 42001 Lead Implementer training course is your gateway to mastering the practical implementation and responsible management of AI management system.

Who Should Attend?
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
Learning Objectives
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

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

Building Digital Trust through Responsible AI Implementation
The ISO/IEC 42001 Lead Implementer training course helps establish digital trust by ensuring that artificial intelligence systems are implemented in a secure, transparent, and ethical manner.

Course Scheduled Time: 8:30 am to 3:30 pm EST daily

Training course agenda Duration: 5 days

Day 1 Introduction to ISO/IEC 42001 and the initiation of an AIMS implementation
Training course objectives and structure
Standards and regulatory frameworks
Artificial intelligence management system (AIMS)
Fundamental concepts and principles of artificial
intelligence
AIMS implementation approaches
Leadership and project approval
Roles and responsibilities

Day 2 Implementation plan of an AIMS
The organization and its context
AIMS scope
Analysis of the existing system
AI policy
AI risk management
Statement of Applicability
Day 3 Implementation of an AIMS
Selection and design of controls
Implementation of controls
Management of documented information
Communication
Competence and awareness
Management of AI operations
Day 4 AIMS monitoring, continual improvement, and preparation for the certification audit
Internal audit
Management review
Treatment of nonconformities
Continual improvement
Preparation for the certification audit
Closing of the training course
Day 5 Certification Exam

Planned Dates
May 12- May 16 2025
June 9- June 13 2025