BrAIn Training: AI solutions in manufacturing

This training provides a comprehensive introduction to the transferable knowledge of AI-driven applications in the manufacturing sector. Designed to support small and medium-sized enterprises (SMEs), innovation managers, and technical staff, the course explores how artificial intelligence can optimize production processes, improve quality control, enable predictive maintenance, and enhance decision-making across the value chain.

Participants will gain practical insights into real-world AI use cases in manufacturing, understand the core concepts of machine learning and data analytics, and learn how to identify opportunities for AI integration within their own operations. By the end of the course, learners will be equipped with foundational knowledge to evaluate, adopt, or scale AI solutions tailored to manufacturing environments.

Key facts about the training: 

• Format: Online / On-demand
• 1 module
• Estimated time for completion: 2 days
• Final Degree: No official degree or certification provided
• Language: English
• Location: Fully online – accessible from anywhere
• Learning Mode: self-learning

This training course has been developed in the BrAIn project. The BrAIn project focuses on emerging opportunities in sectors like the food industry, healthcare, and sustainable energy, aligning with EU strategies like S3 (Smart Specialization Strategies) to foster innovation and growth across the region. Read more about the project: BrAIn website

Disclaimer: This training course has been developed by The School of Electrical Engineering (ETF) at the University of Belgrade within the BrAIn project and is provided here with permission. While we strive to present the course content accurately and in its original form, EIT Manufacturing East is not the original creator of the course material and does not claim ownership of its intellectual property. All trademarks, logos, and content remain the property of their respective owners. Any views, opinions, or guidance expressed within the course are those of the original developers and do not necessarily reflect the views of EIT Manufacturing East. EIT Manufacturing East is not responsible for any errors, omissions, or outcomes resulting from the use of this course. Users are encouraged to verify information and consult with the original course provider for any clarifications.