BIP Applied AI: Foundations and Applications
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.
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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.
Course Content
- Introduction to AI
- Machine Learning Essentials
- Neural Networks & Deep Learning
- Vision Transformers and Natural Language Processing
- Applications of AI
Examination formats: Project work, seminar and assignments
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 information
Preferred participants: PhD, master’s, and bachelor’s students interested in learning Artificial Intelligence.
Tuition fee: free of charge for students registrerad in EU GREEN University or University in other EES country.
Study period and scope:
- VIRTUAL attendance: May 11 – June 12
- IN-PRESENCE attendance in University of Gävle 100%: June 15 – June 19
Language of instruction: English. Level of English: B2 or equivalent
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ECTS for participation in the programme: 7,5 ECTS credits
Number of places: 25
Deadline for applications: March 31, 2026
(Students from ATU who may require a visa are advised to apply as soon as possible.)
How to apply
Applicants should complete the application form linked below by March 31.
Financial Support
The participation in Blended Intensive Programme may be covered by an ERASMUS+ SMS Short Mobility Grant for all participating students. This financial support may only be guaranteed by the selected student’s home University. Please refer to your local coordinator or Erasmus+/International Relations Office for any further information related to the financial support made available.
Find your way to the University
It is less than two kilometres from the city centre to the University and it only takes a few minutes to cycle or take a car or bus in between.
Find your way around campus
Sidan uppdaterades 2026-03-20