Overview
Name
TEST- Applied AI: Foundations and ApplicationsApplication Deadline
2026-03-31Programme description
This Blended Intensive Program (BIP) course provides a comprehensive introduction to Artificial Intelligence (AI), connecting foundational principles with cutting-edge, real-world applications.
The program features expert-led sessions exploring advanced AI applications in medical systems, energy systems, agriculture, automation, and transportation. Through practical insights and real-world case studies, students will gain exposure to how AI is transforming these critical domains.
As part of this BIP course, students will engage in both online and face-to-face learning alongside peers from nine EU GREEN partner universities, fostering collaboration and intercultural exchange.
Teaching hours in virtual mode
NoTeaching hours in presence mode
NoMain topics addressed during the programme
Introduction to AI
Machine Learning Essentials
Neural Networks & Deep Learning
Vision Transformers and Natural Language Processing
Applications of AI
Learning outcomes
* Explain core artificial intelligence concepts and key machine learning concepts
* Design, implement, and evaluate deep learning models and modern AI tools for structured data, images, and text
* Explain neural networks, CNN architectures, transformers, and large language model fundamentals
* Collect, preprocess, and analyse open-source datasets, and assess model performance using appropriate evaluation metrics
* interpret AI model results and critically evaluate their limitations, robustness, ethical considerations, and applicability
Practical Details
Academic Year
2026Number of admitted participants
25Coordinating University
University of GävleLanguage of teaching
EnglishECTS credits
8In-presence Component
In-presence starting date
2026-06-15In-presence closing date
2026-06-19Virtual Component
Virtual component starting date
2026-05-11Virtual component closing date
2026-06-12Assessment
Form of assesssment
Project work, seminar and assignments
Requirements
Academic pre-requisites for applicants
The course is designed for master's and PhD students from all academic backgrounds, the course equips learners with both theoretical knowledge and practical, hands-on skills necessary to address complex challenges using AI technologies. Bachelor’s students with a background in mathematics and programming are also encouraged to apply.