Course Overview

A four-day course for professionals tasked with designing an AI Management System aligned to ISO/IEC 42001:2023. Covers AI policy, risk assessments, AI impact assessments, lifecycle controls (development, deployment, monitoring), and certification readiness – for organizations building or governing AI products and services.

Who Should Attend

• AI/ML leads and product owners
• AI governance teams and ethics committees
• GRC and compliance leaders
• Tech leaders building AI assurance programmes

What You Will Learn

• Conduct an AIMS gap analysis against ISO/IEC 42001:2023
• Build AI policy, scope, and AIMS documentation
• Conduct AI risk and AI impact assessments
• Implement Annex A controls across the AI lifecycle
• Plan operational controls, third-party AI controls, and data quality processes
• Prepare documentation and processes for AIMS certification audits

Course Content

• Project setup, gap analysis, and AIMS scope
• AI policy, roles, and leadership commitment
• AI risk assessment and AI impact assessment
• AI lifecycle controls (development, deployment, monitoring)
• Third-party AI, data quality, and transparency
• Annex A implementation guidance (Annex B)
• Performance evaluation, internal audit, and management review
• Certification readiness, EU AI Act alignment, and continual improvement

Methodology

A workshop-led course combining trainer presentations, group exercises, case studies, and template-driven document development across the four days.

Assessment

Continuous assessment through implementation exercises and a final written assessment.

Certificate

Prerequisites