Machine Learning and AI in Manufacturing Analytics

Education facts

Code: T2MOAF

**Transform manufacturing performance with the power of AI and machine learning.**<br> *Machine Learning and AI in Manufacturing Analytics* equips professionals with the tools and knowledge to harness predictive modeling, anomaly detection, and explainable AI to improve quality, reduce waste, and optimize industrial processes. Through hands-on experience with real manufacturing data, participants gain practical expertise in modern machine learning techniques, robust validation methods, and responsible AI practices including transparency, fairness, and risk management. This course emphasizes the deployment of interpretable, sustainable, and trustworthy AI solutions that enhance decision-making and support the transition toward more efficient, resilient, and data-driven manufacturing system.

Entry requirements

Academic degree of at least 180 ECTS credits within Engineering and/or Technology or passed courses of at least 40 credits in the main field of study within Engineering and/or Technology and at least 1 year of work experience in the manufacturing industry or at least 4 years of work experience in the manufacturing industry. Proof of English proficiency is required.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Machine Learning and AI in Manufacturing Analytics

  Jönköping University

  Jönköping

  Start date: 9 November 2026

  End date: 20 December 2026

  Pace of study: 25 %