Stay updated on the department's latest events, academic achievements, and new opportunities in the field of AI.
Throughout the course, students worked with modern AI tools, studied the principles of generative models, and created their own projects. 🚀 The final stage was the presentation of student projects, where the winning team consisted of: • Anastasiia Veretilnyk • Olena Novosad • Liliana Mirchuk 🎵 Their project allows users to generate music tracks of various moods based on a text description. It is particularly interesting that the application works well with Ukrainian themes, specifically the creation of compositions in the style of wedding music. 📜 All participants also received certificates of course completion. 🤝 We thank It-Jim for their collaboration, practical experience, and the opportunity for students to deepen their knowledge in the field of generative AI. Special thanks to the course team and instructors—Yurii Chyrka and Danylo Krasii—as well as coordinator Oleh Leskiv for the organization, support, and opportunity for students to work with modern AI technologies in practice. 👏 Congratulations to the participants on completing the course, and we wish you new exciting projects and achievements!
🇫🇷 During her studies, Olesia had the opportunity to work with foreign faculty and students from around the world, learn about new approaches to education, and gain valuable international experience. 💬 She shares her impressions: “My impressions are very positive—I really liked the approach to learning, the program itself, and the opportunity to work with foreign faculty and students from all over the world. Such exchange programs truly broaden your horizons, allowing you to learn more about the world and yourself. In addition, they teach you to adapt quickly to new challenges and help you better understand your career goals in the global market.” ✨ Participating in international exchange programs opens up new opportunities for development, exposure to different educational environments, and professional growth. We are proud of our students and wish Olesia new achievements and exciting international opportunities! 💙💛
Algotester, in collaboration with the Department of Artificial Intelligence Systems at Lviv Polytechnic National University, invites high school and college students to spend their summer productively and hone their algorithmic skills 💻🚀 📅 When? August 2–9, 2026 📍 Where? Hosted by the National University of Ostroh Academy Participants can look forward to challenging problems, teamwork, new connections, and a week of full immersion in algorithmic programming. 👇 Eligibility: 👥 Teams of 1 to 3 people who attend the same educational institution (school, college, or university) are invited to participate. ⏳ Registration deadline: July 4. 📝 Only the team captain should fill out the registration form. After that, the organizers will contact you to finalize all the details. 💰 Participation in the training camp is free! Only accommodation and meals are paid for—approximately 850 UAH per person per day. 🔗 The registration link: https://algotester.com/leo/uk?utm_source=ig&utm_medium=social&utm_content=link_in_bio&fbclid=PAdGRleASM0M1leHRuA2FlbQIxMQBzcnRjBmFwcF9pZA8xMjQwMjQ1NzQyODc0MTQAAac7OUU7E1C2log55naa-qqwM9e7-q6IjNZ7HTUvNjtE9JpvqqeHZW-_unslWA_aem_iANw7nO7jV0gCNrV3TCbwA More information is available on the website. Gather your team and see you in August! 🌟
At the Department of Artificial Intelligence Systems (Lviv Polytechnic National University), students are not only learning AI — they are actively developing it. Through access to GPU computing via Vast.ai, our students work on real R&D projects in: • Machine Learning • Computer Vision • Large Language Models (LLMs) • Multimodal AI systems This hands-on experience is made possible with the support of our strategic partner SoftServe, who helps fund access to high-performance computing resources, enabling students to train and deploy models at an industry level. 🔬 Within our AI Lab, students: • train and optimize AI models • develop prototypes and MVP solutions • collaborate on applied research projects • gain practical experience aligned with real industry needs This approach ensures that graduates are not only theoretically prepared but also ready to contribute to AI-driven innovation from day one. 💡 We are continuously strengthening collaboration between academia and industry to build the next generation of AI engineers and researchers.
