Course Description
As AI becomes embedded in industrial operations, governance and regulatory compliance move from optional to mandatory. The EU AI Act — which becomes fully applicable in August 2026 — classifies AI systems by risk level, imposing strict documentation, human oversight, and data-quality requirements on high-risk uses, with penalties reaching €35 million or 7% of global annual turnover for non-compliance.
This course equips industrial organisations to understand and meet AI governance obligations. Participants learn the risk-based structure of the EU AI Act, how it applies to industrial AI systems (including worker management and safety-related applications), and how to build the governance, documentation, and oversight practices that keep AI systems compliant, transparent, and accountable.
What you will achieve
By the end of this training course, participants will be able to:
- Explain the purpose and structure of AI governance
- Understand the risk-based classification of the EU AI Act
- Identify which industrial AI systems are high-risk
- Explain documentation, human oversight, and data-quality requirements
- Understand penalties and compliance timelines
- Build AI governance and accountability practices
- Manage bias, fairness, transparency, and privacy risk
- Prepare an industrial organisation for AI compliance
How the course is delivered
The course explains AI governance and the EU AI Act through the lens of industrial applications, using realistic high-risk system examples. Participants work through classification, documentation, and oversight requirements applied to industrial AI.
The programme balances regulatory understanding with practical governance implementation for industrial organisations.
Designed for
This training course is ideal for:
- Compliance, risk, and governance professionals
- Digital transformation and AI project leaders
- Operations and engineering managers deploying AI
- Legal and regulatory affairs staff
- Anyone responsible for AI compliance in industry
Daily programme
- Why AI governance matters
- Principles of responsible AI
- The global regulatory landscape
- Introduction to the EU AI Act
- Risk-based classification of AI systems
- High-risk industrial AI systems
- Documentation and human oversight requirements
- Data quality, penalties, and timelines
- Building AI governance practices
- Managing bias, fairness, and transparency
- Accountability and audit readiness
- Preparing the organisation for compliance
Certification & accreditation
BII Certificate of Completion
BII Certificate of Completion Upon successful completion, participants receive a BII Development Institute Certificate of Completion with a unique reference code that is independently verifiable. Our certificates are recognised internationally and reflect successful completion of your chosen programme.
