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AI Implementation in Industry
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Link Type
Training url
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Target audience
Digital skills for allDigital technology / specialisation
Artificial IntelligenceDigital skill level
BasicGeographic Scope - Country
European UnionIndustry - Field of Education and Training
Education not further definedTarget language
EnglishType of initiative
EU institutional initiative
Event setting
Target group
Persons in tertiary education (EQF 6)Typology of training opportunities
Course
Learning activity
lab / simulation / practice coursework
Assessment type
OnlineTraining duration
Up to 1 week
Organization
Riga Technical UniversityIs this course free
No
Is the certificate/credential free
No
Type of training record
Single offer
Effort
Part time light
Credential offered
Learning activity
Self-paced course
No
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MERIT is a project co-funded by the European Union under the Digital Europe Programme, carried out by four European universities together with research centres, SMEs and digital innovation hubs. The project aims to strengthen digital skills across Europe through new and updated master’s programmes in artificial intelligence, cybersecurity and the Internet of Things (IoT).
To make advanced knowledge more accessible, the MERIT project also offers short-term courses focusing on key skills for industrial digital transformation. One of these courses is AI Implementation in Industry, developed by Tallinn University of Technology (TalTech). The course provides a practical introduction to applying artificial intelligence methods to real-world industrial and engineering problems.
Course Overview
This short course introduces core AI methods used in industrial modelling, optimization and decision-making. Participants will learn how artificial neural networks, AI-based optimization techniques and multicriteria decision-making methods support data-driven decisions in production, logistics and engineering systems.
By the end of the course, participants will have a clear understanding of how AI supports smarter, more efficient and more transparent industrial decision-making processes.
Course Details
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Duration: 4 weeks (self-paced)
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Format: Online (MOOC on RTU LearnDash platform)
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Language: English
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Target audience: Engineering and ICT professionals, master’s level students, and lifelong learners
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Skill level: Intermediate
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Certificate: Free digital certificate of completion
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Tuition Fees: Free of charge
Take the next step towards understanding practical AI applications in industry and join this self-paced short course. Click here to go to the course.
This project has received funding from the European Union under the Digital Europe Programme (GA 101083531).



