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Use AI with confidence, at every level.

When people understand how to use AI responsibly, they adopt it faster and with fewer mistakes. Three tracks, from the boardroom to the front line. Click a track to explore the full programme.

Training Tracks

Choose the right track for your team

Each track is designed for a specific audience. Click a card to see the full programme details.

All Staff
AI Ethics Essentials
All employees
Half-day or self-paced online
A practical introduction to responsible AI for everyone in your organisation. No technical background required.
What You Will Cover
What AI is and how it affects your work
Core ethics principles: fairness, transparency, accountability
Recognising AI risks in everyday decisions
Your rights and responsibilities when using AI tools
How to raise concerns about AI in your organisation
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Leaders & Managers
Responsible AI Leadership
Managers, directors, and senior leaders
1-day workshop or 3 virtual sessions
Equip your leaders to make responsible AI decisions, manage AI-related risks, and foster an ethical AI culture in their teams.
What You Will Cover
AI governance responsibilities for leaders
Ethical decision-making frameworks for AI
Managing bias and fairness in AI-assisted decisions
Communicating AI decisions to stakeholders
Building an ethical AI culture in your team
Regulatory obligations and personal accountability
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Technical Teams
Responsible AI by Design
Data scientists, engineers, and product teams
2-day intensive or 4 virtual sessions
A technical programme for teams building and deploying AI — covering ethics by design, bias mitigation, explainability, and compliance requirements.
What You Will Cover
Ethics by design principles for AI systems
Bias detection and mitigation techniques
Explainability and transparency requirements
Data governance and privacy in AI development
EU AI Act technical compliance requirements
Responsible AI testing and documentation
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A whole-organisation approach to responsible AI

Responsible AI is not just a technical challenge — it requires accountability at every level of the organisation.

First Line
Everyone
All staff understand AI ethics principles and know how to use AI tools responsibly in their day-to-day work.
Second Line
Leaders & Managers
Leaders can identify AI risks, make ethical decisions, and hold their teams accountable for responsible AI use.
Third Line
Technical Teams
Engineers and data scientists build AI systems that are fair, explainable, and compliant with regulatory requirements.
Discuss Your Organisation's Training Needs →