Industrial AI for maintenance analysis and lifetime calculations
In this course, participants gain insights and knowledge in and around AI-based principles, approaches, methods, models, and algorithms, as well as lifetime calculations of machines and facilities. The course will also cover areas such as digitalization, sensor technology, distributed analysis, and computation.
This knowledge development is expected to help strengthen the competitiveness of both small and medium-sized enterprises and the industry in Norrbotten and Sweden.
Key facts
Target group: Engineers, technicians, or equivalent roles, employed at small and medium-sized enterprises operating in the steel and metal industry value chain.
Prerequisites: Completed compulsory school with passing grades or other experience deemed sufficient by the employer. Experience and ability to participate in digital meetings via Teams, experience with data analysis for, for example, operations, maintenance, or asset analysis.
Scope/Duration: The course is divided into a total of 8 digital lectures with self-study in between, totaling 80 hours.
Price: This training is provided in collaboration with the RUFFS project and is free of charge for participating companies.
Location: All sessions are conducted digitally via Teams.
Course start: Tentatively February 2026
Language: Swedish and English
Number of places: By agreement – we strive to gather participants from different companies to create opportunities for networking and exchange of experience.
Registration: Register your interest further down the page.
Structure
- 8 lectures (2 hours each)
- Self-study between lectures (estimated at about 60 hours)
- 2 written assignments (included in the 60 hours above)
To pass the course, participation in the sessions is required; after completing the course, you will receive a certificate.
Instructor
Ramin Karim is a professor and subject representative in operations and maintenance engineering at Luleå University of Technology. He leads the research area at the Department of Civil, Environmental and Natural Resources Engineering and is the director of the ‘Centre of Intelligent Asset Management’ at LTU, as well as being responsible for the eMaintenance LAB – the world’s first international laboratory for e-maintenance – and LTU’s new Battery LAB for research in asset management of batteries.
Expression of interest
- Register your interest here
If there are enough registrations, the course dates will be announced.
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