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23 September 2025
Kyiv Academic University is launching a Deep Tech educational program that integrates fundamental scientific knowledge with the potential for practical application of technological innovations. The program's educational paradigm reflects current trends in the convergence of scientific disciplines, where traditional boundaries between engineering, natural, and socio-economic sciences are becoming increasingly permeable. This fosters participants’ systemic understanding of technological processes within the global context of socio-economic and environmental challenges.
The Program is designed to create an educational environment for the exchange of knowledge in Deep Tech, fostering participants' abilities in critical analysis, innovative thinking, and a systematic approach to solving complex technological challenges.
Registration via Referral Link
The distinctive feature of the program is its orientation toward a broad range of participants, specifically: students, graduate students, researchers, engineers, managers, technology innovation consultants, startup founders, as well as public sector professionals in the fields of science and technology policy and technological development. Such diversity of participants creates a unique educational environment for interdisciplinary knowledge exchange and the formation of innovative teams, enabling graduates to apply their acquired competencies across various domains: from scientific research in innovative materials development to industrial technology implementation.
The program directly aligns with the UN Sustainable Development Goals in the areas of quality education, innovation and infrastructure, responsible consumption and climate action, cultivating a new generation of technological leaders to address humanity's most complex challenges, and is implemented with institutional support from the European Institute of Innovation and Technology within the framework of the EIT Higher Education Institutions educational initiative as part of the Knowledge Rise project.
The course provides fundamental and practical knowledge for the effective application of artificial intelligence and machine learning technologies in additive manufacturing processes. Participants will master the foundations of AI/ML, process optimization methodologies, predictive modeling technologies, and quality control systems within additive manufacturing frameworks. The course develops competencies in intelligent technological process management and the integration of algorithmic solutions into modern manufacturing environments.
The course provides a fundamental understanding of the principles of neural networks, their architecture and training process, as well as an understanding of the basics of the Pytorch framework. Students will learn about different neural network architectures and approaches to training them, and will be able to create and train several simple models themselves.
During the course, participants can explore fundamental scientific principles, engineering modeling methodologies, environmental ethics. The course authors have developed a methodology grounded in the "composition - structure - technology - properties - application" framework, ensuring logical progression from scientific foundations to engineering practice. The curriculum integrates Life Cycle Assessment principles and circular economy concepts, fostering comprehensive understanding of materials science within the context of sustainable development and environmental responsibility.
The course provides basic fundamental knowledge about the quantum nature of light, about wave-particle duality and the Heisenberg uncertainty relation, about the main quantum effects and limitations, about different models of atoms, about the transition from ordinary materials to nanostructured ones, about quantum technologies and quantum computers, about methods of modeling the electronic structure of atoms.
The course embodies a structured educational program encompassing theoretical and practical aspects of hydrogen technology implementation within gas transport infrastructure. Employing an interdisciplinary approach, the author systematizes knowledge regarding the hydrogen economy, physicochemical properties of hydrogen, and associated engineering challenges, particularly material compatibility, safety considerations, and regulatory requirements. The program ensures comprehensive understanding of principles for the secure adaptation of existing infrastructure for hydrogen technologies.
This comprehensive course in the theory and practice of managing high-technology innovation projects integrates strategic management concepts with specialized methodologies for Deep Tech entrepreneurship development, encompassing team formation, risk management, and commercialization of knowledge-intensive technologies. The course builds competencies in transforming fundamental research into market-oriented technological solutions.
The program welcomes all interested participants regardless of professional experience or educational background, taking into consideration the academic prerequisites of each course. Registered participants gain comprehensive access to all educational resources: interactive lecture materials, current scientific publications, practical assignments, and specialized resources through the Eduportal learning platform, along with opportunities for active participation in online seminars, personalized consultations with leading instructors, and networking events with fellow program participants.
Registration is available via the link!
The educational program offers a model for integrating academic excellence with the practical demands of today's technological landscape, establishing a platform for cultivating a new generation of specialists capable of transforming fundamental scientific discoveries into strategically vital technological solutions. The program provides exceptional opportunities for professional advancement and international collaboration, contributing to the strengthening of Ukraine's position within the global innovation ecosystem and fostering the nation's technological sovereignty in strategically critical domains of the future.
