AI and Technology
AI is being adopted across education and the public sector at a pace that outstrips most organisations’ ability to govern it. Staff are using tools their leadership has not approved, decisions are being made by systems that cannot easily be explained, and the regulatory environment is moving faster than internal policy.
This group is designed for educators, technology teams, and information professionals who need to understand the practical implications of AI: for data protection, for governance, for information security, and for the people they serve.
Programmes are pitched at a practitioner level. They are built for people who need to make and defend AI-related decisions in their own organisation, not for people looking for a general introduction to the field.
AI for Educators
For academic staff, learning designers, and education leaders working out how to use AI responsibly in teaching and assessment
AI tools are now widely used by students and staff across education, with varying degrees of institutional oversight. This course equips educators to make informed decisions about when to use AI, how to use it well, and how to handle the issues that arise for teaching, assessment, and academic integrity.
Learning Outcomes
- Understand the capabilities and limitations of current AI tools in teaching and assessment contexts
- Apply institutional policies and professional judgment to AI use in your own practice
- Handle the data protection, intellectual property, and academic integrity issues that AI introduces
| Format | Published Price |
|---|---|
| Online (Per cohort, up to 20 delegates) | £950 + VAT |
| On-site (Per cohort, up to 20 delegates) | £1,200 + VAT |
LLMs and Data Protection
For DPOs, information governance teams, and senior information professionals working with or advising on large language model adoption
Large language models raise specific and significant data protection questions, from training data provenance and output accuracy to international transfers and the rights of data subjects whose information has been used. This course is a practitioner-level workshop on the data protection implications of LLMs.
Learning Outcomes
- Apply UK GDPR to the deployment of LLMs within your organisation
- Handle the specific issues of training data, model outputs, and data subject rights
- Run credible DPIAs and assurance activity for LLM deployments.
| Format | Published Price |
|---|---|
| Online (Per cohort, up to 20 delegates) | £950 + VAT |
| On-site (Per cohort, up to 20 delegates) | £1,200 + VAT |
AI Security for Cyber Security Teams
For cyber security professionals responsible for securing AI systems or defending organisations that are adopting AI at scale
AI introduces a new set of attack surfaces, from prompt injection and model extraction through to data poisoning and supply chain compromise. This course is pitched at cyber security teams that need to understand the AI-specific threat landscape and build it into their defensive posture.
Learning Outcomes
- Recognise the AI-specific threats and attack patterns relevant to your organisation
- Assess the security of AI systems you are deploying or procuring
- Build AI considerations into incident response, threat modelling, and assurance activity
| Format | Published Price |
|---|---|
| Online (Per cohort, up to 20 delegates) | £950 + VAT |
| On-site (Per cohort, up to 20 delegates) | £1,200 + VAT |
Bespoke programmes and multi-session packages are available on enquiry. Combined programmes covering AI strategy, governance, data protection, and security are available for organisations taking a structured approach to AI adoption.
| Course | Format | Online | On-site |
|---|---|---|---|
| AI for Educators | Per cohort (up to 20) | £950 + VAT | £1,200 + VAT |
| LLMs and Data Protection | Per cohort (up to 20) | £950 + VAT | £1,200 + VAT |
| AI Security for Cyber Security Teams | Per cohort (up to 20) | £950 + VAT | £1,200 + VAT |