Change Control / Release Manager

Overview

This course focuses on the full implementation of robust change control and release management processes for high-risk AI systems. Participants will learn how to manage changes safely and compliantly in line with EU AI Act requirements, minimising risk while maintaining system integrity.

What You Will Learn

• Authorise changes to models, prompts, and guardrails
• Implement effective rollback capabilities
• Document every production change in accordance with regulatory expectations
• Perform post-implementation reviews to verify effectiveness
• Determine when changes trigger re-assessment under Article 15

Who Should Take This Course

This course is designed for Change Managers, Release Managers, AI Operations leads, DevOps professionals, Compliance Officers, and technical team members responsible for managing updates to production AI systems.

Course Format

AI Assurance E-Learning Platform - Self-paced, detailed.

Key Benefits

• Ability to implement compliant change control for high-risk AI systems
• Clear understanding of Article 15 obligations and triggers
• Structured processes for change authorisation, documentation, and rollback
• Practical skills to conduct effective post-implementation reviews

Body of Knowledge - Mapped to Standards and Regulations

• Article 15 Change Control (when changes trigger re-assessment, EU AI Act Article 15)
• Change Management Process (RFC, impact analysis, authorisation, prEN 18286 Clause 9.3)
• Release & Rollback (canary releases, rollback procedures, COBIT BAI07)
• Post-Implementation Review (effectiveness verification, prEN 18286 Clause 10)

Key Takeaways

• Understanding of the Change Control / Release Manager role and responsibilities
• Core knowledge and practical skills in AI change management
• Clarity on risk and control responsibilities
• Awareness of key duties and performance indicators for the role

Certificate

Participants will receive a certificate of completion upon finishing the course.