Monday, February 23 2026

T 89v23- E-learning - ISO 42001 training package - Readiness and audit of your artificial intelligence management system AIMS version 2023

E-Learning (online courses) - Implementation, maintenance, improvement and internal audit of your artificial intelligence management system ISO 42001: 2023. You save 75 euros on the second course and 82 euros on included documents!
225
€
Ex. VAT
T 89v23- E-learning - ISO 42001 training package - Readiness and audit of your artificial intelligence management system AIMS version 2023
 

Description

online TRAINING ISO 42001 READINESS version 2023

Discover the ISO 42001 standard version 2023 and

  • its content
  • its principles
  • its requirements
  • the stakes

 

Get used to

  • artificial intelligence (AI) approach
  • AI management system (AIMS)
  • process approach
  • AI readiness documents
  • AI internal audit documents
  • risk approach
  • AI terminology
  • continual improvement

 

The important and fundamental elements of an AI system

  • AI approach (history, quality management principles, PDCA cycle)
  • process approach (definitions, process types, mapping)
  • context of the company (customer requirements)
  • leadership of top management (commitments, responsibilities)
  • planning of the AIMS (risks, actions, objectives, changes)
  • product realization and service provision (operational control, AI risk assessment and treatment, AI system impact assessment)
  • performance evaluation (monitoring, measure, analysis, internal audits, management review)
  • improvement (nonconformities, corrective actions, continual improvement)
  • controls (Annex A)

 

The menu of the course

  • Presentation
  • MCT Beginning (10 questions)
  • 1 Artificial intelligence
    • 1.1 History
    • 1.2 Application areas
    • 1.3 Principles and steps
  • 2 Standards, definitions, books
    • 2.1 Standards
    • 2.2 Definitions
    • 2.3 Books
  • MCT Information security (8 questions)
  • 3 Process approach
    • 3.1 Process
    • 3.2 Process map
    • 3.3 Process approach
  • MCT Process approach (7 questions)
  • 4 Context
    • 4.1 Context
    • 4.2 Stakeholders
    • 4.3 Scope
    • 4.4 AIMS
  • Case Interested parties
  • Case Customer and need
  • Case Priority tasks
  • Summary of clause 4
  • MCT Context (8 questions)
  • 5 Leadership
    • 5.1 Leadership and commitment
    • 5.2 AI policy
    • 5.3 Roles, responsibilities and authorities
  • Case AI policy
  • Case New line
  • Summary of clause 5
  • MCT Leadership (8 questions)
  • 6 Planning
    • 6.1 Actions to address risks
    • 6.2 Objectives
    • 6.3 Changes
  • Case New risk
  • Case Risk treatment
  • Case Risk register
  • Case Change
  • Summary of clause 6
  • MCT Planning (10 questions)
  • 7 Support
    • 7.1 Resources
    • 7.2 Competence
    • 7.3 Awareness
    • 7.4 Communication
    • 7.5 Documentation
  • Case Importance of work
  • Case Communication
  • Summary of clause 7
  • MCT Support (9 questions)
  • 8 Operation
    • 8.1 Operational planning and control
    • 8.2 AI risk assessment
    • 8.3 AI risk treatment
    • 8.4 AI system impact assessment
  • Case Design review
  • Case Process stability
  • Summary of clause 8
  • MCT Operation (9 questions)
  • 9 Performance
    • 9.1 Inspection, analysis and evaluation
    • 9.2 Internal audit
    • 9.3 Management review
  • Case Audit readiness
  • Case Auditor question
  • Case Management review
  • Summary of clause 9
  • MCT Performance (9 questions)
  • 10 Improvement
    • 10.1 Continual improvement 
    • 10.2 Nonconformity and corrective action
  • Case Nonconformities
  • Case Kaizen and problem
  • Summary of clause 10
  • MCT Improvement (10 questions)
  • Annex A
  • A.2 Policies related to AI
  • Summary of annex A.2
  • MCT Annex A.2 (6 questions)
  • A.3 Internal organization
  • Case Responsibilities
  • Summary of annex A.3
  • MCT Annex 3 (7 questions)
  • A.4 Resources for AI systems
  • Case Resources
  • Summary of annex A.4
  • MCT Annex 4 (8 questions)
  • A.5 Assessing impacts of AI systems
  • Case AI system impacts
  • Summary of annex 5
  • MCT Annex 5 (7 questions)
  • A.6 AI system life cycle
  • Case Life cycle
  • Summary of annex A.6
  • MCT Annex A.6 (8 questions)
  • A.7 Data for AI systems
  • Case Data
  • Summary of annex A.7
  • MCT Annex 7 (6 questions)
  • A.8 Information for interested parties of AI systems
  • Case Response to an incident
  • Case Incident log
  • Summary of annex A.8
  • MCT Annex 8 (6 questions)
  • A.9 Use of AI systems
  • Case Use of AI systems
  • Summary of annex 9
  • MCT Annex 9 (6 questions)
  • A.10 Third-party and customer relationships
  • Case Selecting suppliers
  • Summary of annex 10
  • MCT Annex 10 (6 questions)
  • MCT End (20 questions)

 

online course internal audit of your artificial intelligence management system ISO 42001 version 2023

 

Discover the internal audit in an ISO 42001 version 2023 certified company and

  • locate the audit in the artificial intelligence approach
  • identify the stakes
  • understand the requirements
  • control the tools

 

Get used to

 

The important and fundamental elements of an internal audit

  • scope
  • normative references
  • principles
  • audit program (responsibilities, records)
  • audit conducting (objectives, evidence, conclusions)
  • auditor competence (knowledge, training)

 

The menu of the course

  • Presentation
  • MCT (multiple-choice test) Beginning (10 questions)
  • 1 Scope
  • 2 Normative references
  • 3 Definitions
  • 4 Principles
    • 4.1 Management principles
    • 4.2 Audit principles
    • 4.3 AIMS performance
  • MCT Internal audit (7 questions)
  • 5 Audit program
    • 5.1 General
    • 5.2 Objectives
    • 5.3 Risks
    • 5.4 Establishing
    • 5.5 Implementing
    • 5.6 Monitoring
    • 5.7 Reviewing and improving
  • Case New risk
  • Case Audit program
  • MCT Audit program (11 questions)
  • 6a Audit preparation
    • 6.1 General
    • 6.2 Initiating
      • 6.2.1 First contact
      • 6.2.2 Situations and feasibility
    • 6.3 Preparing the audit
      • 6.3.1 Document review
      • 6.3.2 Audit plan
  • Case Nonconformities
  • Case Audit readiness
  • MCT Audit preparation (8 questions)
  • 6b Conduct an audit
    • 6.4 Audit activities
      • 6.4.1 Opening meeting
      • 6.4.2 Audit evidence
      • 6.4.3 Audit conclusions
    • 6.5 Audit report
    • 6.6 Completing the audit
    • 6.7 Audit follow-up
  • Case Audit finding
  • Case External audit nonconformity
  • Case Audit report
  • Case Management review
  • MCT Conduct an audit (8 questions)
  • 7 Competence and evaluation of auditors
    • 7.1 General
    • 7.2 Auditor competence
    • 7.3 Evaluation criteria
    • 7.4 Evaluation methods
    • 7.5 Auditor evaluation
    • 7.6 Improving competence
  • Case Auditor question
  • Case Auditor independence
  • MCT Auditor competence (7 questions)
  • MCT End (20 questions)