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This course provides a practical introduction to the AI Management Module of the BSI AI Foundation Framework. It focuses on how organizations can operationalise AI governance by applying structured, risk‑based controls across the full AI system life cycle. Delegates gain an understanding of the domains, controls, and maturity expectations needed to manage AI systems in a consistent, controlled, and accountable way, aligned with internationally recognised standards and best practice.
Upon completion of this course, you will be able to:
Explain the purpose and scope of the AI Management Module within the BSI AI Foundation Framework.
Interpret the domains and controls that support structured management of AI systems across their life cycle.
Understand how risk‑based thinking is applied to AI design, deployment, monitoring, and change management.
Recognise how governance, documentation, validation, monitoring, and human oversight work together to support trusted AI.
Identify how international standards and frameworks inform effective AI management practices.
Confidently engage with AI self‑assessment and maturity evaluation activities related to the AI Management Module.
Confidently engage with AI self-assessment and independent verification activities as part of an organization’s Mark of Trust journey.
Anyone involved in supporting their AIFF verification
This is an online, interactive eLearning course, You’ll have access to the course for 12 months.
Please Note: This training fee is applicable only for residents of India and the Indian subcontinent.
If you have any enquiries, let us know how can we help you.
Call: +91 80815 80815
Email us: info.in@bsigroup.com
This is an online, interactive eLearning course, You’ll have access to the course for 12 months.
Please Note: This training fee is applicable only for residents of India and the Indian subcontinent.
Reach out and see how we can help guide you on your path to sustainable operational success.