Essentials of Artificial Intelligence for Manufacturing

This course is officially recognised and labelled by the European Institute of Innovation and Technology (EIT). EIT Label is a quality mark awarded to programmes demonstrating outstanding innovation, educational excellence and societal impact.

The “Essentials of AI for Manufacturing” Learning Path is a dynamic educational journey comprising 11 nuggets aimed at empowering individuals with the knowledge and expertise needed to leverage Artificial Intelligence (AI) and Machine Learning (ML) within the manufacturing sector. Starting with an introductory module on the transformative potential of AI and ML in manufacturing, the path explores algorithm applications, introduces the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology for structured project execution, and emphasizes aligning AI initiatives with business objectives.Participants learn the crucial steps of data preparation, including cleaning and visualization techniques which unveil valuable insights from manufacturing data. They delve into data wrangling and practice these skills on real-world manufacturing data. The learning path then progresses to the modelling phase, covering diverse machine learning algorithms and evaluation techniques essential for building predictive models in manufacturing scenarios

Students are expected to execute practical tasks, applying data preparation and modeling skills to authentic manufacturing challenges. The path culminates in a final summative assessment which tests knowledge and skills across all the previously covered nuggets. By completing this path, individuals are prepared to contribute to AI-driven advancements which may enhance efficiency and quality control in the manufacturing industry.