ISO/IEC 42001 Lead Implementer Live Online Course | Includes PECB Certification, 2 Exams attempts.

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.

The PECB ISO/IEC 42001 Lead Implementer training course is designed to prepare you to implement AI management system in accordance with ISO/IEC 42001. It provides you with the necessary competencies to effectively translate AI strategies into actionable solutions. It aims to provide a comprehensive understanding of AI implementation best practices and a framework for its successful integration within organizations, equipping you with the hands-on expertise to drive AIMS implementation projects.

After successfully completing the course and passing the exam, you can apply for the “PECB Certified ISO/IEC 42001 Lead Implementer” credential that demonstrates your ability to effectively implement AI strategies.

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.

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.

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