Active Neuron Academy

Teaching portfolio

The team delivers higher education and continuous training — including institutional undergraduate modules and EU PRR programmes with Europe-recognised qualifications. Corporate workshops: Programmes. Publications: Insights | Google Scholar.

Teaching approach

Practical work first when it fits. Sessions mix hands-on exercises with theory, tied to everyday examples so ideas stay easy to grasp. Classes stay open for discussion, not one-way slides.

Corporate training

Same lab-first style for engineering and data teams, and for non-technical groups who need practical literacy without jargon overload. Topics, formats, and booking: Programmes.

Delivered workshops

SQL for non-technical teams

Three-day SQL training designed for participants without a technical background.

From traditional ML to generative AI

Delivered for data science and engineering teams moving from classical ML pipelines to generative AI in production. Covered model selection, evaluation, retrieval design, and deployment patterns grounded in regulated fintech work.

Learning on the Graphs workshop

Hands-on workshop on graph representation learning — from feature engineering on relational data through to graph neural networks, with exercises tied to network and transaction-graph use cases.

Employing agentic AI in industry

Workshop on how to put agentic AI to work in industry: integrating autonomous agents into existing workflows, tool orchestration, governance, and practical patterns teams can deploy for measurable impact.

University teaching

Higher education & continuous training

Undergraduate (BSc)

  • Databases, Informatics Engineering, Engineering faculty (theory and practice; project-based coursework).
  • Imperative programming, Computer Science, Sciences faculty (hands-on coding and peer-oriented exercises).

Continuous training (PRR)

EU-sponsored PRR program: diverse courses and Europe-recognised qualifications, with emphasis on applied skills.

  • Databases (theoretical & practical)
  • Programming in Python (practical)
Research & publications Faculty & career Contact