7 Short courses in Artificial Intelligence in Sweden
Deep Learning Methods for Medical Image Analysis
The Deep Learning Methods for Medical Image Analysis hands-on course by KTH Royal Institute of Technology will provide you with a general introduction of supervised learning and its applications in medical image analysis.
AI-Ethics for Engineers
In the AI-Ethics for Engineers course offered by Örebro University, we cover the theoretical and practical aspects of Ethics applied to AI systems, through case studies, practical application of theoretical concepts, and open discussions.
Computer Vision and Image Processing
The Computer Vision and Image Processing course offered by Luleå University of Technology describes different frameworks and programming libraries focused on applications. The course introduces the mathematical aspects and the background to the methods which are then applied in practice in different projects.
Industrial AI and Asset Management
The Industrial AI and Asset Management course offered by Luleå University of Technology is designed to provide participants with the concepts of Industrial AI, eMaintenance, and application of data-driven approach for decision-making for industrial sectors.
AI and Cybersecurity
In the AI and Cybersecurity course offered by Örebro University, you will learn the different uses of AI for defending and attacking an IT-system, from biometrics for authenticating legitimate users, to fuzzing attacks for crashing vulnerable targets.
Artificial Intelligence within Biomedical Engineering and Health Systems
During the Artificial Intelligence within Biomedical Engineering and Health Systems course, provided by KTH Royal Institute of Technology, you will experience various aspects of current, emerging and future healthcare challenges and trends, learn how to develop innovative technical solutions and recognise business opportunities.
Artificial Intelligence
Malmö University's Artificial Intelligence (AI) can be described as the part of computer science that aims at studying and building intelligent systems (or machines). A system can, for example, be considered intelligent if it thinks or acts like a human in a given situation, or if it is able to perform tasks that normally requires human intelligence.