AI Act

ISO 42001 Lead Implementer

PECB-accredited ISO 42001 Lead Implementer certification. Live online training with certified-or-refunded guarantee.

PECBLead Implementer5 daysLiveSelf-pacedIn-house
  • Practitioner-led, taught by a working CISO
  • Exam & certificate included
  • Re-sit covered if needed
Christophe Mazzola

Taught by

Christophe Mazzola

Practicing CISO · Founder of Cyber Academy

See full profile →

Public sessions

Upcoming public sessions

Open-enrolment cohorts. Pick a date and book your seat. Want a private cohort for your team instead? Request an in-house quote.

No confirmed live cohort right now. You can still:

Buy the self-paced licenceRequest an in-house quote

Deep dive

Everything inside this certification

The detail behind the headline. Read at your own pace. Each section answers a buyer question we get on discovery calls.

  • 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

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

Certification Rules and Policies

  • Certification and examination fees are included in the price of the training course
  • Participants will be provided with the training course material containing over 450 pages of explanatory information, examples, best practices, 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.
  • In case candidates fail the exam, they can retake it within 12 months following the initial attempt for free.

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.

Next step

Where this leads

Pillar guide

Read the full AI Act guide

EU AI Act readiness work for providers and deployers across the four risk tiers.

Ready to get certified?

Taught by a practicing CISO. Prices shown up front. Certified or refunded.

Buy a live seatBuy self-paced licenceRequest a quote