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.
Introduction to AI
Machine Learning Essentials
Neural Networks & Deep Learning
Vision Transformers and Natural Language Processing
Applications of AI
* 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
Project work, seminar and assignments
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.