MADE - AI for Manufacturing: From Fundamentals to Advanced Applications (Pilot)

Type of course:

Digital learning, Lesson

Language:

Duration:

15 minutes

Proficiency:

Intermediate

Target:

Professionals

SUMMARY

This course provides a comprehensive exploration of artificial intelligence (AI) within the manufacturing industry, focusing on how AI technologies transform production, logistics, quality control, and workforce collaboration. With in-depth case studies, ethical discussions, and future-oriented analysis, this course equips professionals with knowledge of AI applications across the manufacturing lifecycle. Designed for industry practitioners, this course prepares participants to implement, evaluate, and scale AI solutions effectively and responsibly in various manufacturing contexts.

About The Author

Carlo Ongini is the Head of Innovation at the MADE Competence Center in Milan, Italy. He holds a PhD in System and Control Automation and a master’s degree in Computer Engineering from Politecnico di Milano. With a deep expertise in Computer Vision, AI, and Machine Learning, his research focuses on their application in Automation, Robotics, and Industry 4.0.

Ongini has authored over 10 publications and a patent application. He has extensive experience across various industry sectors, having led advanced technology initiatives at Electrolux, driving intelligent automation solutions in manufacturing, and at Vodafone Business, where he managed the development of 5G and IoT solutions for industry applications. He also played a key role in Vodafone’s 5G Trials in Milan and was instrumental in the growth of Smart Robots, an Italian startup specializing in robotic and visual automation systems.

MADE is a competence centre for Industry 4.0 created to implement Orientation, Training, and Finalization activities for technology transfer projects with companies on Industry 4.0 issues. The ultimate goal of the Competence Center is to keep the profile of companies high, competitive, and sustainable. Moreover, MADE supports manufacturing companies, especially small and medium enterprises, on the path of digital transformation to factory 4.0: smart, connected, and sustainable, by providing a wide range of knowledge, methods and tools on digital technologies.

Learning outcomes

By the end of this lesson, participants will be able to articulate key AI concepts and types that form the basis of smart manufacturing, understanding the distinction between machine learning, deep learning, and other types.
By the end of this lesson, participants will be able to understand AI concepts and their significance in the workplace for both white-collar and blue-collar roles.
By the end of this lesson, participants will be able to apply insights from AI case studies to assess potential applications within their own manufacturing environments.