We train your workforce
to unlock real efficiency
through ML, automation, and gen AI.

Practitioner-led courses delivered onsite or remote. Four modules, each anchored in real systems your team will go back and build. No certifications, no slideware, no LinkedIn badges — just working knowledge.

Book a cohort How training works
§ 07.A // MODULES 4 COURSES
§ 01 // APPLIED ML FOR PRACTITIONERS MODULE 01 / 04

A working introduction to applied machine learning for people who will actually maintain the models. Classical methods first, evaluation discipline throughout, and a final-day capstone on a dataset your team brings.

AUDIENCEEngineers and analysts DURATION3 days · onsite or remote
  • /1/ Framing problems: what is and isn't an ML problem
  • /2/ Feature engineering, leakage, and the bias-variance tradeoff
  • /3/ Evaluation: cross-validation that respects time and groups
  • /4/ When to escalate from logistic regression to gradient boosting to deep learning — and when not to
  • /5/ Production handoff: model cards, monitoring, and the discipline of saying no
§ 07.B // OUTCOMES
// EFFICIENCY

Hours back, weekly.

Teams leave with a written audit of automatable work and the tooling choices to attack it. Most cohorts identify 12–30 hours of weekly toil in the first workshop alone.

// JUDGEMENT

Ship and don't ship.

The most valuable skill we teach is when not to deploy a model. Trainees leave with the discipline to push back on bad scope and the language to defend the call.

// SELF-SUFFICIENCY

Less reliance on us.

The point of training is that you stop needing consultants for the easy half of the work. We tell you what to read next and we mean it.

§ 07.C // HOW TRAINING WORKS
01
SCOPING

One call. Pick the module.

We talk to a sponsor and one or two attendees. We pick the right module, agree on a cohort size, and decide whether the capstone uses your data or ours. Free.

02
PRE-WORK

A reading list and an environment.

Two weeks before the cohort, attendees receive a short reading pack and a working code environment. About four hours of pre-work per person. Skipping it is allowed but discouraged.

03
DELIVERY

Onsite or remote, live.

The course runs over consecutive days, taught by a practitioner who has shipped what they're teaching. Mornings are concept; afternoons are hands-on. The final session is a written debrief.

04
FOLLOW-THROUGH

Sixty days of office hours.

For two months after the cohort, attendees can write to us with stuck-points from the work they're applying. We answer within two business days. No additional fee.

§ 07.D // BOOK
// BOOKING

Tell us your team and your timeline.

One paragraph: which module looks right, how many people, and the dates you have in mind. We confirm or counter-propose within two business days.

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