BrAIn Training: AI solutions in manufacturing
Note for groups: If you are buying this product for multiple participants, you will be able to assign licenses after completing the order. Please select “Group” and the number of seats you require.
- Free on-demand online training on AI-driven applications in the manufacturing sector
- For SMEs using artificial intelligence to optimize production processes, improve quality control, enable predictive maintenance, and enhance decision-making
- Level: Beginner
- Format: Online
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.
The primary audience for this course includes representatives of small and medium-sized enterprises (SMEs), manufacturing companies, technology providers, and innovation managers working in or with the manufacturing sector. It is especially relevant for organizations aiming to explore or implement AI-driven solutions to optimize production, improve product quality, or streamline operations.
The course is suitable for participants with different levels of experience, from those new to AI to those already involved in digital transformation initiatives. A general interest in manufacturing innovation and the practical, business-focused application of AI technologies is recommended.
This free online training is available on demand. You can learn at your own pace and complete the training from any location any time. The estimated time of completion for this course is 2 days.
This training is free of charge. Upon registration, you will get access to the course material.
This training was developed by The School of Electrical Engineering (ETF) at the University of Belgrade. It is one of the leading institutions for engineering education and research in Southeast Europe. Established in 1948, ETF has a strong tradition in developing high-level expertise in areas such as electronics, telecommunications, computer science, and power engineering. The faculty is known for combining rigorous academic education with practical, industry-relevant training. Through international collaborations and cutting-edge research, ETF plays a key role in advancing innovation and technology in the region.
For further information, please contact: Mr. Zavisa Gordic
