AdvancedCourse in development
Agentic AI Engineer
Builds systems where the model plans and acts across steps, and designs the guardrails that keep it honest.
Engineers moving from single-call AI to multi-step systems
Academy
Courses for the roles AI is creating.
An organisation, a team and one person all have to get ready at the same four stages — safe to use AI, actually adopting it, working well alongside it, and proving it moved the business. The Academy teaches to those stages, and every course ends in the measurement that proves someone cleared one.
- AI ReadinessSafe to use it
- AI AdoptionActually using it
- AI-Era CapabilityGood at working with it
- AI ImpactIt moved the business
After the courseLevel 4 · AdvancedRe-measured, dated, on the record
How it works
The Academy is one step in a loop.
You do not get rejected — you get a gap, and a course built to close it. Then you are re-measured and apply again, with the proof on your record.
- 01Join the networkJoin
Set up a profile as an evaluated specialist.
- 02Apply for a roleRoles
Pick work you actually want to do.
- 03Get measuredHow
A real interview or assessment against the role.
- 04See the gap
A named skill at a named level — not a rejection.
- 05LearnAcademy
The course built around that gap.
- 06Re-measure
Same instrument, so the uplift is a number.
- Apply again — qualified
The proof stays yours, so the next role does not start from zero.
How you learn
Three ways to sit it. One way to prove it.
In the room, live online, or at your own pace — the teaching changes, the measurement does not. Whichever mode you take, the same instrument runs before and after, so the result means the same thing.
In person
Intensive
A short, high-contact programme in the room — built around doing the work, not watching slides.
- Small cohort, worked problems
- Direct access to the practitioners teaching it
- Measured on the way in and on the way out
Live online
Cohort
Scheduled live sessions with a group moving at the same pace, from anywhere.
- Live sessions with real Q&A
- Recordings if you miss one
- Same measurement as the in-person track
On demand
Self-paced
The library. Start when you are ready, work at your own speed, prove it when you are done.
- Begin any time
- Work around the job
- Ends in the same verified level
The catalogue
Two tracks open. More on the way.
Courses are organised by the same role categories the talent network uses, so a course, a role and an assessment describe capability the same way.
AdvancedLength TBC
Forward Deployed Engineer
The engineer who sits with the customer and makes the AI actually work in their world — their data, their systems, their edge cases.
What you leave with- Take a vague business problem and return a working deployment
- Integrate with systems you do not control and cannot rewrite
- Hold the technical conversation and the customer conversation at once
Engineers who want to own outcomes, not ticketsView the role →
AdvancedCourse in development
AI Infrastructure & LLMOps Engineer
Keeps models serving: deployment, scaling, observability and the cost of every token.
Platform and infrastructure engineers
AdvancedCourse in development
RAG & Retrieval Engineer
Makes retrieval correct, permissioned and fresh as the underlying data keeps moving.
Engineers building on internal knowledge
PractitionerCourse in development
Context Engineer
Decides what the model sees — what goes in the window, in what order, and what is left out.
Engineers tuning system behaviour without retraining
AdvancedCourse in development
Fine-Tuning & Post-Training Engineer
Shapes model behaviour after pre-training — datasets, evaluation and knowing when not to fine-tune.
ML engineers working on model behaviour
Coming next
The categories we are building into.
Software Engineering
Code quality, architecture and review in an AI-assisted codebase.
AI Evaluation & Safety
Judging model output, writing rubrics and catching unsafe behaviour.
Data Science & Analytics
Analysis and modelling where AI does the first pass.
Business Operations
Process, SOPs and human-in-the-loop operations.
Finance & Consulting
Analysis and advice that has to survive being checked.
Law & Compliance
Review, drafting and compliance work under AI assistance.
Medicine & Healthcare
Clinical reasoning and safety when AI is in the loop.
Education & Assessment
Teaching, item writing and assessment design.
Language, Writing & Audio
Writing, editing and language work alongside generative tools.
Academy
Tell us the gap. We will build the course around it.
Courses are generated from the skills you are short on, then measured to prove the gap closed. Bring us one team and we will show you both halves.