During the 3 months of intensive work, NCC Montenegro team members were involved in organising 70 classes for more then 50 participants. Lectures were held twice a week, starting in October this year. The training started with Python programming module which focused on mastering all programming skills needed for further work and engagement with Artificial Intelligence and Machine Learning. Then we explored AI concepts, mathematical models, computer vision tasks, and provided hands-on examples of using Convolutional Neural Networks, Yolo architectures (YoloV7 and YoloV8), and the Detectron2 package for various computer vision applications. Throughout these modules, participants not only gained exposure to various tools, Python packages and libraries for facilitating AI model development but also had the chance to learn the integration of AI solutions into modern systems and applications with Flask and other web bases technologies. The attendees were informed on NCC Montenegro activities and introduced to capabilites of HPC and its application for AI development that requires lots of computing resources.
After all classes we organised Hackathon day. The Hackathon gathered 20 teams to work on HPC/AI and Computer Vision projects in agriculture, medicine and tourism. Before the Hackathon Day, after which the best ideas were showcased and awarded, there were two weeks of intense mentor-guided sessions. These sessions helped teams with their projects and in figuring out high-performance computing needs for handling large datasets , execute experiments, and testing advanced AI models. This hackaton was implemented in cross-collaboration with the AI4S3 project funded by the Innnovation Fund of Montenegro.
