88 Technology Summer Course Programs

A course in which you’ll learn to take the creation of texts and images to the next level.

The Graduate Summer School in Data Science is an educational experience designed to explore the main challenges and opportunities in data analysis. Students will gain a deep understanding of the fundamental principles of data science and the skills necessary to analyse and interpret data.

Discover how artificial intelligence can take your ideas to the next level with immersive training during your vacation.

The MBA Summer School in Innovative Leadership cultivates advanced leadership skills necessary for managing high-performing teams and fostering innovation. It includes courses on ambidextrous thinking, which combines decisive action with innovative strategies and leads teams to achieve peak performance.

Would you like to spend four unforgettable weeks at the number one private higher education institution in Croatia, mastering the latest digital trends in an international environment with students from all over the world? The summer sunshine is the perfect ingredient to get inspired and master cutting-edge innovations from the digital world. Join the International Summer School program at Algebra Bernays University and gain in-demand digital skills that top global tech companies are looking for — all while having an unforgettable summer experience in Croatia.

Our Summer School aims at developing the students’ academic knowledge and professional skills in 2 major topics related to Computer Science – Visual computing and Artificial intelligence. You will be involved in various projects with the teaching staff and you will take courses in Visual Computing and Artificial Intelligence, which will provide you with the tools to create virtual reality, video games, virtual divides, interactive objects and to learn about optimizations methods and data mining. As an additional module, French as a Foreign Language will be included to help you socialize with the French population.

Earn a certificate in Artificial Intelligence for Business and explore how AI, data science, and business strategy intersect. This intensive summer programme equips students and young professionals with both foundational and advanced knowledge in machine learning, deep learning, and business intelligence.

Designed for French and international students pursuing studies in the field of engineering and innovation in the broadest sense, this summer school immerses its participants in the fundamental challenges of tomorrow's AI-assisted innovation. Its objective is to foster reflection, exchange, and collaboration between French and international students from all backgrounds on the contribution of themes related to innovation, artificial intelligence, creativity, new product development, innovative activity management, innovation strategies, and sustainable and responsible development through AI.

Get ready to explore the future of high-performance computing (HPC) and artificial intelligence (AI) and its influence on the way we live, work and learn, with the HPC-AI Summer Seminar Series by Stanford High-Performance Computing Center and the HPC-AI Advisory Council. This 1-unit course is designed to provide practical insights and thought leadership and discuss topics of great societal importance.

Aimed at French and international students pursuing their studies in the field of computer science and e-health (health tech). The Summer School is a program that immerses its participants in the heart of the medical challenges of the hospital of the future by exposing them to innovative solution proposals based on immersive technologies, AI, robotics, and IoT. It prioritizes ethical reflection, exchange, and sharing with the aim of innovating and proposing solutions to the emerging challenges of the hospitals of the future.

The Summer School intends to present some selected tools that can help humanists in their researches and activities, taking advantage of the digital turn and the new technologies. Particular attention is given this year to NLP, Digital Philology, GIS & AI.

The AI Summer School in Barcelona offers students from all over the world the opportunity to study at an internationally recognized educational institution in the vibrant city of Barcelona. A hands-on course for those who want to master AI tools and implement them in their lives, work, and business processes. Discover new possibilities and achieve goals by integrating AI technologies.

The third edition of the Summer School “Microwaves and mm-waves for the Design of Advanced Wireless Links: Communication, Sensing and Power Transfer” aims to provide participants with a solid understanding of the fundamental principles and design strategies of modern wireless systems operating in the microwave and millimeter-wave frequency bands. It is co-coordinated by Prof. Paolo Nepa (Department of Information Engineering, University of Pisa) and Prof. Pietro Bolli, (Technology Director at the INAF Arcetri Astrophysical Observatory, Florence).

This Summer School aim to provide an overview of the main Machine Learning and Deep Learning methods and their application to geophysical, geological, environmental and geographical data, keeping a more practical flavour.

The Summer Course in Critical Learning in the Age of AI examines how AI systems work, analyses AI-generated content for bias and misinformation, and applies learning, cognitive, and ethical theories to real study situations. You develop a Personal Education Plan (PEP) to guide meaningful learning.

In the Summer Course in Data Analysis in R, participants will explore the omnipresence of data and the necessity for essential analytical skills to extract valuable insights. The course leverages the extensive array of R packages, created by a myriad of active programmers, making R a versatile tool for a spectrum of data analysis techniques. From fundamental hypothesis testing to advanced methods like generalized linear regression and multivariate analysis, including principal component analysis, factor analysis, and clustering, participants will immediately apply their acquired knowledge through short exercises using Rmarkdown.

The aim of the Summer School ‘Data Science and AI in Health’ is to introduce young, enthusiastic researchers to the principles of data science and AI in healthcare and clinical research. Participants will be introduced to various aspects of data science, such as setting up and implementing a project. This includes both the collection and cleaning of data and the practical conduct of an initial (machine learning) analysis of the collected data.