AI training for the defense industry
Engineering teams in defense programs are strong, but data science and machine learning are often seen as a separate specialty, so AI work stays dependent on outsiders.
▶ The solution
AI literacy for executives; Python, data analysis, statistical thinking, machine learning and deep learning for technical teams. Hands-on, and tailored to your team's level and your own data.
▶ Use case
Through BilgeAdam I've trained teams from TUSAŞ and TEI in data science. Engineers learn Python, statistics and machine learning from scratch, with examples close to their own field.
▶ Data you need
Because of confidentiality requirements, trainings run on open datasets or on anonymized samples the organization approves.
The industry's data landscape
In the defense industry, programs are long, documentation-heavy and the supply chain has many tiers. Data accumulates in project management systems, technical documents, and test and quality records. Confidentiality requirements decide from the start which data can be processed where.
Corporate training gives your team the knowledge to do data and AI work without depending on outsiders. There are two audiences: executives, who need to tell what is possible from what is hype, and technical teams, who will do the work themselves.
The math behind it
Precision = TP / (TP + FP) · Recall = TP / (TP + FN)
- TP: cases the model correctly flags
- FP: cases it flags by mistake
- FN: cases it misses
How I work
- Before
Level and goal.
The participants' current level, and what they should be able to do afterwards, is made clear. Executives and technical teams get separate goals.
- Preparation
Content and examples.
The programme is shaped around the team's level. Examples and exercises are chosen close to the company's real problems.
- Training
Hands-on sessions.
More practice than lecture: participants write code, work with data and interpret results. Questions are answered through the company's own work.
- After
Back to work.
A concrete task or project proposal the team can apply right after. Where the learning will be used is clear from the start.
▶ Questions and answers
AI training for the defense industry — what data do you need?
Because of confidentiality requirements, trainings run on open datasets or on anonymized samples the organization approves.
When is this the wrong choice?
The training is just a line in the annual plan. A training nobody will apply afterwards produces nothing but certificates. You actually need a project. If the work needs to get done soon, doing the project may be faster than training the team.
How does this work start?
With a short intro call. I listen to what you need and tell you plainly whether your data is enough for the job and what the first step should be. I reply to every message within 24 hours.
▶ Concepts
Linked to Wikipedia and Wikidata.
▶ Sources
- [1]Wikipedia, Precision and recall, 2026-10. en.wikipedia.org/wiki/Precision_and_recall
▶ Intro call
Let's talk about your situation.
In a 30-minute call I listen to what you need and tell you plainly how I can help.
Book an intro call▶ In other industries