Core understanding of AI concepts, risks, and governance principles aligned with EU AI Act requirements.
Audience: All staff
* Depending on customisation.Saver Fixed price model for Mid to Large business
Content Highlights
- Demystifying AI – Understand key definitions, common myths, and misconceptions about artificial intelligence, including the difference between traditional automation, machine learning, and generative AI.
- EU AI Act Overview – Explore the Act’s purpose, scope, and why it matters for all sectors, not just high-tech companies.
- AI Risk Categories – Learn about different risk types: transparency failures, bias and discrimination, ethical breaches, and safety hazards.
- Governance Principles – Understand the principles behind lawful, ethical, and robust AI governance, as outlined in the EU AI Act and global best practices.
- Individual Rights – Review user and stakeholder rights under AI law, including transparency, contestability, and redress mechanisms.
- Identifying Red Flags – Recognise early warning signs of risky AI practices in everyday operations.
- Reporting and Escalation – Learn how to use formal reporting mechanisms for compliance breaches and unethical AI use.
- Organisational Relevance – Understand how these concepts apply to your specific role and business context.
This Course
Outcome Deliverables
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Explain AI fundamentals and risk types, using definitions in Art. 3 of the EU AI Act.
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Identify prohibited AI practices (Art. 5) and understand why they are banned.
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Classify AI systems as prohibited, high-risk, or limited-risk (Art. 6–7, Annex III).
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Recognise transparency, fairness, and safety obligations (Art. 13–15).
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Apply human oversight principles to everyday use cases (Art. 14).
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Apply human oversight principles to everyday use cases (Art. 14).
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Follow escalation and reporting processes aligned with Art. 52 transparency duties.
EU AI Literacy
Price Range
Virtual
£3,800
(12-15 FTE)
£7,600
£7,600
(12-15 FTE)
Or
£40
per HR/per FTE
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Why T3 for AI Literacy & Training?
T3’s AI Literacy & Training practice is led by the founder of Google’s Responsible Innovation & Ethical ML teams and Oracle’s former Chief Data Scientist. They translate cutting-edge AI research into practical, accessible training programs that equip leaders, teams, and boards to navigate AI with confidence.
- Board and C-suite AI education: trained 50+ board members on AI governance, risk, and strategic opportunity; making complex AI concepts actionable for senior decision-makers
- Government and public sector training: advised and delivered AI literacy programs for 20+ governments, shaping how policymakers understand and regulate AI
- Enterprise-wide AI upskilling: from executive awareness to hands-on technical training, tailored to role and maturity level across the organisation
- Grounded in global standards: training content built on the frameworks T3 helped shape: EU AI Act, ISO/IEC 42001, NIST AI RMF, OECD AI Principles, and G7 AI Code of Conduct
- Trusted by the best: advised 2/3 leading Big Tech on Responsible AI
- Award-winning expertise: 3 AI awards in 2025 including AI Leader of the Year, Top 33 Women Shaping the Future of Responsible AI, and North America AI Leader of the Year
We don’t just teach AI, we build AI-literate organisations.
