Your route into AI,
mapped.
Pick where you are today and follow the lines: the roles you can move into, the skills each step needs, and the IoAI accreditation level that fits each stage.
Start from where you stand.
Choose your current role. The map redraws around you: select any destination to see the skills that step needs and the level that recognises it.
You build and ship software for a living. That makes yours the most direct technical route into AI: the engineering habits transfer, and the gap is learning to work with systems that are probabilistic rather than deterministic.
Select any role on the map to see the skills that step needs.
Where are you now?
Tap your current role to see your map.
Every skill maps to the competency framework.
Each skill on this map belongs to one of the five domains the IoAI accredits against, so the path you choose doubles as a checklist for your assessment.
- Foundations of AI
Machine learning concepts, data fundamentals, model evaluation, statistical reasoning
- Responsible and ethical AI
Bias and fairness, privacy and data protection, transparency, UK regulatory context
- Applied AI engineering
System design, deployment and operations, testing and evaluation, performance and cost
- AI strategy and governance
Use-case selection, risk assessment, policy and governance, measuring impact
- Lifelong learning and communication
Plain-English explanation, mentoring and teaching, continuing development, contribution to the field
Wherever you start,
get recognised for it.
Every path on this map ends at an IoAI accreditation level. Apply when you are ready, or take the two-minute self-assessment to find your level first.
AI Jobs Board
Live UK roles with honest salary bands, updated regularly. See what the destinations on this map pay today.
Competency framework
The five domains behind every skill on this map, and what they look like at each accreditation level.
Learn
Free lessons, a plain-English glossary and quick answers to start covering the skills your next step needs.