Deep Tech Intro Program 2025

📅 2025 - In Progress 📍 Hybrid (Online & Workshops) 🚀 TROPHY / EIT HEI Project

About the Program

The Deep Tech Intro Program 2025 is an advanced educational initiative organized by the University of Belgrade (Faculty of Organizational Sciences) and the Centre for Research & Technology Hellas (CERTH). As part of the EIT HEI TROPHY project, this program provides a structured pathway into the most transformative technologies of our decade.

Core Deep Tech Domains

Designed for both academic staff and students, the program bridges the gap between research and industry application. It combines theoretical depth with practical workshops in AI, Machine Learning, and the emerging field of Digital Twins.

Program Modules

01
AI & Machine Learning Integration
02
Digital Twins & Energy Applications
03
Design Thinking & Innovation

What You'll Explore

  • Deep Tech fundamentals and future innovation contexts
  • Design Thinking methodology for complex problem-solving
  • Neural Networks and self-paced machine learning modules
  • Digital Twin platforms and real-world energy-related case studies
  • Deployment and system integration of ML models
  • Compliance with the AI Act and building trustworthy AI systems
  • Web3-related innovation and decentralized technologies

Lecturers & Contributors

FON Faculty Experts
Prof. Dr. Zorica Bogdanović and Dr. Ana Milićević leading fundamentals and design thinking workshops.
CERTH Research Team
Expert insights on Digital Twins and AI Compliance from Nikos Tsalikidis, Aggeliki Veliskaki, and Dr. Marija Janković.
Technical Integration
Advanced modules on Neural Networks and ML deployment by Prof. Dr. Saša Milić and Dr. Aristeidis Mystakidis.
Moodle Access
All lectures, recordings, and self-paced materials are permanently available for participants via the Moodle platform.

Final Sessions

As the program approaches its final stages, sessions are focusing on real-world deployment and regulatory considerations, ensuring that all participants are equipped to navigate the legal and technical complexities of modern deep-tech environments.