Welcome to ProSistemos
AI & Software Engineering Training
Hands-on machine learning and .NET courses run by engineers who build production software for manufacturers. Your team writes real code and ships real models, then takes the work and the reasoning back to the office with them.
Training
Courses built from real production work, not a textbook.

Machine Learning & AI
Python for real machine learning, from cleaning data to a model that works. Participants build computer vision, NLP and predictive models and validate each one, rather than running finished notebooks someone else wrote. pandas · scikit-learn · TensorFlow · PyTorch

Machine Learning & AI
Python for real machine learning, from cleaning data to a model that works. Participants build computer vision, NLP and predictive models and validate each one, rather than running finished notebooks someone else wrote. pandas · scikit-learn · TensorFlow · PyTorch

Machine Learning & AI
Python for real machine learning, from cleaning data to a model that works. Participants build computer vision, NLP and predictive models and validate each one, rather than running finished notebooks someone else wrote. pandas · scikit-learn · TensorFlow · PyTorch

.NET & Software Architecture
C# and .NET for teams writing services that have to stay up. We cover API design, clean architecture, testing and integration the way they’re actually done on the systems we run in production. C# · .NET · REST APIs · SQL · CI/CD

.NET & Software Architecture
C# and .NET for teams writing services that have to stay up. We cover API design, clean architecture, testing and integration the way they’re actually done on the systems we run in production. C# · .NET · REST APIs · SQL · CI/CD

.NET & Software Architecture
C# and .NET for teams writing services that have to stay up. We cover API design, clean architecture, testing and integration the way they’re actually done on the systems we run in production. C# · .NET · REST APIs · SQL · CI/CD

Applied AI for Teams
For managers and engineers who need to judge AI honestly: where it earns its keep, where it doesn’t, and how to scope a first project worth doing. Less hype, more decisions you can stand behind. Scoping · model selection · feasibility · ROI

Applied AI for Teams
For managers and engineers who need to judge AI honestly: where it earns its keep, where it doesn’t, and how to scope a first project worth doing. Less hype, more decisions you can stand behind. Scoping · model selection · feasibility · ROI

Applied AI for Teams
For managers and engineers who need to judge AI honestly: where it earns its keep, where it doesn’t, and how to scope a first project worth doing. Less hype, more decisions you can stand behind. Scoping · model selection · feasibility · ROI
2x
Our approach is to build efficient models that solve specific problems without requiring massive data centers or enterprise-level budgets.
2x
Our approach is to build efficient models that solve specific problems without requiring massive data centers or enterprise-level budgets.
2x
Our approach is to build efficient models that solve specific problems without requiring massive data centers or enterprise-level budgets.

200+ engineers and students trained across three years of lecturing, run in parallel with full-time client work. The same engineers writing your training materials are the ones shipping software for manufacturers every week, so the examples come from systems that are live, not invented for a slide.
Team workshops
Course series
Custom curriculum
Train your team with people who build this for a living.
Train your team with people who build this for a living.
Tell us what your team needs to learn and where they’re starting from. We’ll put together a course that fits.
“Most training ends with a certificate and a folder of slides nobody opens again. Ours ends with code your team wrote and actually understands. I teach the way I build: start from a real problem, get something working, then make it good. People learn more from one model they shipped themselves than from ten they watched someone else build.”

Rokas Slaboševičius
Founder & CEO, ProSistemos · Former ML & .NET lecturer, CodeAcademy (2022–2025)
“Most training ends with a certificate and a folder of slides nobody opens again. Ours ends with code your team wrote and actually understands. I teach the way I build: start from a real problem, get something working, then make it good. People learn more from one model they shipped themselves than from ten they watched someone else build.”

Rokas Slaboševičius
Founder & CEO, ProSistemos · Former ML & .NET lecturer, CodeAcademy (2022–2025)
“Most training ends with a certificate and a folder of slides nobody opens again. Ours ends with code your team wrote and actually understands. I teach the way I build: start from a real problem, get something working, then make it good. People learn more from one model they shipped themselves than from ten they watched someone else build.”

Rokas Slaboševičius
Founder & CEO, ProSistemos · Former ML & .NET lecturer, CodeAcademy (2022–2025)

