FROM WORKING WITH AI TO RUNNING IT.
Three courses. One durable capability journey. Learn with real work, make the boundaries visible, prove what works and keep something you can use again.
Open the learning libraryWITH ME → FOR ME → DEPEND ON IT.
The three courses are learner-facing chapters. Underneath them sits one durable seven-capability map that can keep absorbing new models, tools and agent frameworks without rebuilding the curriculum around every product change.
Work With AI
USE → CONNECT → CREATE. Direct AI deliberately, give it the right reality, create useful artefacts, inspect the result and preserve what works.
Open expanded course →Give AI Work
ACT → DELEGATE → COORDINATE. Let AI act, give it bounded responsibility and design handoffs without losing authority or accountability.
Open course map →Run AI
OPERATE. Decide whether an AI capability is ready to rely on and define how it is owned, observed, recovered, changed and economically justified.
Open course map →THE COURSE NAMES ARE SIMPLE. THE MASTERY MAP IS PRECISE.
The seven capabilities are not a beginner-to-expert ladder. A person can be strong in one area and new to another. More automation or autonomy is not automatically more mature.
REAL WORK. VISIBLE PROOF. SOMETHING TO KEEP.
The training is designed around experience and participant work rather than tool tours. Difficult concepts are introduced after the learner has felt the problem they solve.
Bring real work
Use an Anchor Task, Workflow or System from the participant's own context instead of completing disconnected classroom demos.
Feel it before naming it
Experience the limitation or failure first, then introduce the mental model that explains what happened.
Prove the improvement
Use before/after evidence, second runs, failure tests, observable state and defended decisions instead of “it felt better”.
Keep the method
Every course ends with a reusable playbook, blueprint, charter, checklist or pattern that can be used again after class.
THE LIBRARY GROWS WITH THE CURRICULUM.
Work With AI already has its expanded eight-session public library. Give AI Work and Run AI now have public course maps, and their longer session libraries will be added only as the curriculum is finalised.