Artificial Intelligence Technologies

🆓 FREE ONLINE AI SCHOOL!

summer school 2026

🎉 AIT 2026 has been completed. We look forward to seeing you in 2027.
🎓 Certificate of professional development (120 hours / 4 ECTS credits)
📅 Dates 22 June - 3 July 2026
AI header illustration

Successful completion of the school

AITSS-2026 certificates are now available

The list of participants who successfully completed AITSS-2026 was approved by the Rector's Order. In your account, you can check your status and download the official PDF certificate.

Rector's Order №o-94
Check and download PDF

Artificial Intelligence Technologies Summer School — Project Competition

Finalists and winners of the AIT 2026 project competition.

Based on the final presentations and jury evaluation, the winners were selected by technical quality, clarity of the real-world problem, value of the proposed approach, and the teams’ answers to jury questions.

Place Project Team members
1st place Genetic Algorithm for PID
  • Yurii Vakula — Kryvyi Rih Professional Transport and Metallurgical Lyceum, Ukraine
  • Viktoriia Kravtsova — Dnipro University of Technology, Ukraine
  • Nataliia Miniailo — Zaporizhzhia National University, Ukraine
  • Siddhartha Pundit — Independent Researcher, Japan
2nd place Krok.cv
  • Ostap Krochak — Ivan Franko National University of Lviv, Ukraine
  • Vira Poberezhnyk — Ivan Franko National University of Lviv, Ukraine
2nd place VeritAI
  • Amenah Alghanim — Al-Zahraa University for Women, Iraq
  • Winfred Videkar — Mykolas Romeris University, Ghana
3rd place A Day in the Digital City
  • Mikhailova Sofiia — Ivan Franko National University of Lviv, Ukraine
  • Mikhailova Olena — Universidad Autónoma de Madrid, Spain
3rd place DiplomacyPulse AI
  • Diana Rotar — Ivan Franko National University of Lviv, Ukraine
  • Kirena Levytska — Educational Complex "School of Computer Technologies - Lviv Technological Lyceum", Ukraine
  • Rostyslav Levytskyi — Ivan Franko National University of Lviv, Ukraine
  • Ishtiaque Ahmed Rafin — Helsinki Metropolia UAS, Bangladesh
3rd place TELERETAIN AI
  • Adityabaan Tripathy — SRM Institute of Science and Technology, India
  • Shubhayu Kundu — SRM Institute of Science and Technology, India

About the school

Traditionally, every summer we invite the best industry specialists, experts, mentors, and lecturers from leading IT companies to create a unique educational platform for discussion and learning innovative artificial intelligence technologies.

Objective:

  • Create an educational platform for studying theoretical fundamentals, gaining practical skills, and enabling knowledge transfer between students and the IT industry in artificial intelligence.
  • Focus audience attention on the challenges and opportunities provided by artificial intelligence technology.
  • Reveal the fundamentals of creating innovative products and solutions using artificial intelligence.

Artificial intelligence is a powerful driver of change that enables endless possibilities for the development of new technologies.

When: 22 June - 3 July 2026

Format: Online

Training features: two parallel learning streams (Core A — participants just getting into AI; Core B — participants with IT experience).

School language: English

Target audience: participants from Ukraine and abroad

P.S. By creating artificial intelligence, we open endless possibilities for a future where machines and humans can work together to achieve incredible success in science, art, and life in general — ChatGPT!

📜 This year participants in the program will receive certificates of professional development (120 hours / 4 ECTS credits).

AIT experience 2021-2025

Experience

MAP OF LAST YEAR'S PARTICIPANTS

Map

School Topics

Hover over each tag to see what it covers.

The school's topics include basic concepts of artificial intelligence technologies such as: Python for DS, ML & DL, Cloud services and technologies, Cloud computing, Big Data and Analytics, Databases & Data warehouses, Artificial Intelligence with ML / DL / RL, ML & DL tools, Advanced Machine Learning, Generative AI, Real-world AI applications

The school's lecture topics also include the latest issues in artificial intelligence technologies, in particular: AI with Advanced Machine Learning, Responsible AI, Adaptive AI, Democratized AI, Atomization AI, Computer Vision with ML / DL / RL, newest Deep Learning architectures, Virtual Reality, Metaverse, Digital Twins, GenAI and language modeling, NLP and LLMs, Robotics and Embedded LLMs, Generative Models, Artificial art, Transformers, BERT, GPT and the rest of the LLMs, GenAI for Software Design, AI Code Generation, Generative AI Platforms for Software Development, Cyber security and AI, High-Performance Computing, GPU technologies, Mobile and Web development, AI technologies for Mobile development, Web Analytics, IoT, IIoT, AioT, Edge AI, Embedded AI, Autonomous Systems, AI in Automotive

AI with Advanced Machine Learning

Responsible AI, Adaptive AI, Democratized AI, Atomization AI
Building AI-empowered products, AutoML
Usage of AI in modern services, applications, and platforms
Computer Vision with ML / DL / RL
Computer Vision with LLM
ML/DL techniques: Transfer Learning, Federated Learning, etc.
Genetic Algorithms (GAs) in Machine Learning
Specifics of the newest Deep Learning architectures: best practices
AI Trust, Risk and Security Management (AI TRiSM)
End-to-end Machine Learning projects/models to solve practical problems
HLI (Human Language Interface), AR / VR
Virtual Reality, Metaverse, Digital Twins
AI in sustainable, ecological, and environmental technologies

GenAI and Language Modeling

NLP and LLMs
Knowledge management, Ontologies
Robotics and embedded LLMs
Generative models, artificial art
Diffusion models for image and video generation
Transformers, BERT, GPT, and the rest of LLMs
Serving and orchestration of LLMs, multimodal learning
Concerns, bias, and ethics of working with LLMs
Accelerating autonomy with the Cognitive Digital Brain
Autonomy digital agents
Customer interaction detection
Summarization and diffusion through an enterprise

SDLC with Generative AI

Empowering SDLC stages with GenAI: general topics
GenAI for Software Design
AI Code Generation
Generative AI platforms for Software Development
Building evaluation frameworks
Infrastructure, components, and architecture of GenAI apps
Prompt engineering: best practices
RAG: implementation, validation, and assessment
RAG systems, SELF-RAG, self-correcting and self-improving RAG systems
Cyber security and AI
Soft Skills

High-performance computing

Fundamentals of parallel, hybrid, and distributed computing
Getting started with Jetson Developer Kits (Xavier NX, AGX Orin, Orin Nano Super, AGX Thor)
Getting started with Google Coral TPU USB Accelerator and/or Google Coral Development Board
GPU technologies, GPGPU, CUDA, OpenCL

Mobile and Web development

Integration of AI systems in mobile development: general questions
Customer requirements for mobile apps with LLM
AI technologies for mobile development
Web analytics, social network analysis, crawlers, analytical platforms
Integration of AI systems in web development
Usage of AI code agents for mobile and web development

IoT, IIoT, AIoT

Internet of Things, Industrial Internet of Things
Artificial Intelligence of Things (AIoT), Cognitive IoT
Edge AI, Embedded AI, Hailo AI
Autonomous systems (drones, vehicles, etc), autopilots
AI in Automotive

Organizing committee

Oleh Buhrii
Oleh Buhrii
Vice-Rector for Scientific and Pedagogical Work and Social and Humanitarian Development, LNU
Yurii Furgala
Yurii Furgala
Dean of the Faculty of Electronics and Computer Technologies, LNU
Roman Shuvar
Roman Shuvar
Head of the Department of System Design, Faculty of Electronics and Computer Technologies, LNU
Valerii Tkachuk
Valerii Tkachuk
Head of the Laboratory of Artificial Intelligence Technologies, LNU
Vitaliy Kukharskyy
Vitaliy Kukharskyy
First-year doctoral researcher at LNU
Yuliia Hrytsenko
Yuliia Hrytsenko
Head of the Marketing Communications Department, LNU
Vasyl Lyashkevych
Vasyl Lyashkevych
Head of Ukraine GenAI R&D Lab, EPAM, Candidate of Technical Sciences, LNU
Roman Mysiuk
Roman Mysiuk
Senior Test Automation Engineer at EPAM Systems, PhD, LNU
Iryna Mysiuk
Iryna Mysiuk
Senior Test Automation Engineer at EPAM Systems, PhD, LNU
Igor Kolych
Igor Kolych
Associate Professor, Department of System Design, LNU
Taras Kerod
Taras Kerod
Assistant, Department of System Design, LNU
Andrii Patynko
Andrii Patynko
Assistant, Department of System Design, LNU
🔥 See you in 2027

AIT 2026 has been completed 🚀

Thank you for being with us this year. We look forward to welcoming you again in 2027.