Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
Medical data processing – Load, transform, and prepare data to meet AI model requirements
Building and training AI models – Create your own predictive models in Python and evaluate their performance
Model validation and interpretation – Learn validation methods and techniques for interpreting models in a clinical context
AI deployment in practice – Understand how to implement AI models in healthcare facilities while ensuring compliance with regulations and ethics
What we actually do
We tailor the detailed agenda of this training to your team. Write to us — we'll send a sample agenda and adapt it to your stack.
This intermediate-level training is designed for participants who already understand the basics of artificial intelligence and want to develop their skills in the context of healthcare applications. Participants will learn how to prepare medical data for analysis, build and train ML/DL models, interpret results, and understand how to deploy AI solutions in clinical environments—in compliance with legal and ethical regulations. The course combines theory with practice: coding in Python, working with real datasets, modeling, validation, and case studies of real-world deployments.
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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