Programmes
Training built by people who run this in production.
Five programmes, each aimed at a specific audience. Delivered on site, remotely, or as a blend. Scoped to your stack and your regulatory position rather than a generic syllabus.
Discuss a programmeFoundations
AI Foundations
Core AI and automation skills for any role. What the technology actually does, where it fails, and how to tell a real use case from a demo. No prior machine learning background assumed.
- Models, context and retrieval, explained without the marketing
- Evaluating output, and why “it looked right” is not a test
- Where automation pays back, and where it quietly costs more
Sector
AI for Healthcare
Clinical data, EHR integration and the AI Act in practice. Built around the constraints that apply when the data is patient data and the regulator is watching.
- Data boundaries and lawful basis before model selection
- AI Act classification applied to real clinical workflows
- Evidence and audit trails that survive inspection
Leadership
AI for Executives
Board-level risk and investment decisions. What to fund, what to defer, what to ask for before signing, and what accountability actually attaches to the people in the room.
- Reading an AI business case for what it leaves out
- Regulatory exposure in plain terms, with the deadlines
- Governance that holds once the system is live
Engineering
AI for Platform & Ops
Running AI and automation in production. Observability, evaluation pipelines, automated remediation, and the operational discipline that keeps an automated action explainable after the fact.
- Signal before automation — alert noise fixed first
- Evaluation in CI, not as a one-off before launch
- Rollback and failure behaviour designed in, not discovered
Half-day
Executive Workshops
A single session for a leadership team with a decision in front of it. Scoped to your situation in advance, run in half a day, and closed with a written summary of what was decided and what is still open.
None of these quite fit?
Most programmes get adapted before they run. Tell us the audience and the problem.