Artificial intelligence
Start taking the first step towards a digitized future with Digital Innovation Zone, your local digital innovation hub in North-East Romania. Whether you’re part of a small or medium-sized enterprise or a public institution, we’re here to provide you with top-class digital culture and skills programs tailored to suit your specific needs.
It harnesses the power of the TOSC Model: Technology, Organization, Skills and Culture – a comprehensive approach covering the critical dimensions of digital implementation.
Courses in this learning path:
1. Introduction of artificial intelligence in production
About the course and its objectives:
• This course provides an overview of AI, its history, applications especially in manufacturing and its transformative role in Industry 4.0.
Duration: 4 weeks
2. Mathematics for AI/ML in manufacturing
About the course and its objectives:
• This course covers basic mathematical concepts, including linear algebra, calculus, probability, and statistics, needed to understand and develop AI and ML algorithms with production use cases.
Duration: 6 weeks
3. Programming in Production (Python Emphasis)
About the course and its objectives:
• This course covers the fundamentals of Python programming, with an emphasis on production-related issues, including syntax, data structures, and control flow.
Duration: 8 weeks
4. Handling data in production environments
About the source and its objectives:
• This course learns about various data structures and algorithms essential to managing production-related data and creating AI/ML solutions.
Duration: 6 weeks
5. Data Science in Manufacturing
About the course and its objectives:
• This course forms a foundation for advanced topics in AI/ML, focusing on data cleaning, exploration, visualization, and statistical analysis in a manufacturing context.
Duration: 6 weeks
6. Machine learning for predictive maintenance
About the course and its objectives:
• This course introduces the fundamental concepts of Machine Learning (ML) with a specific focus on predictive maintenance, a key application area in manufacturing.
Duration: 8 weeks
7. Deep Learning for Quality Control
About the course and its objectives:
• This course covers deep learning concepts and their applications in quality control, such as defect detection using convolutional neural networks (CNN).
Duration: 8 weeks
8. Natural language processing (NLP) for production
About the course and its objectives:
• This course teaches techniques for processing and understanding human language in a manufacturing context, such as processing work orders or factory reports.
Duration: 8 weeks
9.Computer vision for production
About the course and its objectives:
• This course introduces techniques for image and video processing and interpretation in a production setting, including image segmentation, object detection, and automated inspection systems.
Duration: 8 weeks
10 The Ethics of AI in Manufacturing
About the course and its objectives:
• This course explores ethical considerations specific to the application of AI and ML in manufacturing, including data privacy, algorithmic bias, and transparency in decision-making.
Duration: 4 weeks
11. Capstone Project
About the course and its objectives:
• A final project that involves applying knowledge gained to a practical manufacturing-specific AI or ML problem, such as developing a predictive maintenance model, creating an automated quality control system, or implementing a demand forecasting model.
Duration: 12 weeks
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