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Training & Enablement

The hardest room to teach AI to is a mixed one — an O-6 who needs to make a procurement call sitting next to an analyst who will write the code. Our curriculum is built for that room, which is why it leads with judgement and risk rather than with syntax.

Composition of a typical cohort, by role and by coding experienceA cohort of 30, grouped into analysts, team leads, and directors and above. Each seat is shaded by whether that person has never written code, has written some and is rusty, or writes code daily. Coding experience correlates with role but does not follow it: 6 of the 8 directors have never written code, while 7 of the 13 analysts write it daily. 10 of 30people in the room have never written a line — which is why the course cannot assume one.ONE COHORT · 30 PEOPLEThe room is not homogeneous, so the course cannot be.ANALYSTS13 peopleTEAM LEADS9 peopleDIRECTORS & ABOVE8 people6 of 8directors have never written code.7 of 13analysts write it daily. They are in the same room, on the same afternoon.No programming prerequisite is a design constraint, not a concession.
Never written codeSome, rustyWrites code dailyCurricula usually solve this by splitting the room, which loses the reason the room was assembled: the director needs to know what the analyst can and cannot promise, and the analyst needs to hear what the director will actually be asked in a briefing. Keeping them together is the harder design and the one worth paying for. Cohort composition here is representative rather than a specific delivery.

What this covers

  • Live virtual and on-site delivery
  • Mission vignettes and worked exercises, not slideware
  • No programming prerequisite on the decision-support courses
  • Custom cohorts assembled from a 16-topic curriculum
  • Unclassified delivery by default, with classification handling agreed in advance

How it is pitched

Conceptual understanding, risk awareness and human–machine teaming — deliberately ahead of tooling. A room that understands where a model's uncertainty comes from will make better calls with worse software than the reverse.

Published syllabi

Both of these are published in full — every session, every duration, every outcome. You should be able to decide whether a course fits your room without speaking to us first.

AI for Decision Support in Defense Operations

How machine learning and data fusion enhance situational awareness and planning

3 days
No programming

R for Data Science: Foundations of Analytics

Rapid analytics and visualization for mission support

5 days
Beginner-friendly

Tell us what decision you are trying to get right.

Not a discovery call about our capabilities. A conversation about the specific thing you need to predict, and whether the data you have can support it.

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