CIT recently offered students a practical perspective on designing, tracking, and deploying machine learning systems in real production environments. This initiative is part of the “Diaspora EU4Innovation” project, coordinated by Assoc. Prof. Entelë Gavoçi and supported by Diaspora4Innovation and Germin.
Master of Software Engineering II Year students specializing in AI, Machine Learning, and Deep Learning engaged in hands-on workflows covering version control, automation, model tracking, and deployment using GitHub and MLOps methodologies.
CIT expresses gratitude to Dr. Lisana Berberi (Karlsruhe Institute of Technology, Germany), Assoc. Prof. Nihat Adar (CIT), and Assoc. Prof. Dr. Entelë Gavoçi for their guidance and support, as well as to all participating students and attendees for their active engagement.
