Date: Tuesday, 11 March 2025 - Tuesday, 25 March 2025
Time: 10:00 - 12:00
Duration: 2 Hours
Contact: Nada Sanad - nada.sanad@oulu.fi

This FULLY FUNDED online training course will explore the value of Artificial Intelligence (AI) in the manufacturing industry.

 

Attendees will gain essential knowledge about AI concepts, applications, and their impact on manufacturing operations.

Attendees will learn how to:

  • Understand key AI concepts, applications, and use cases in manufacturing
  • Apply machine learning for data-driven decision-making
  • Explore human-AI collaboration, MLOps, and large language models (LLMs)
  • Utilise AI for predictive maintenance, quality assurance, and automation
  • Make informed decisions about procuring and implementing AI tools and services

About the Course

Over 3 weeks, the course will focus on:

  • Introduction to AI Concepts & Applications
  • Use Cases for AI in Manufacturing (Part I)
  • Use Cases for AI in Manufacturing (Part II)

Schedule

  • 11th March: Introduction to AI concepts & applications
  • 18th March: Use Cases for AI in Manufacturing I
  • 25th March: Use Cases for AI in Manufacturing II

Time:

  • 12:00 PM - 2:00 PM (Finnish time)
  • 11:00 AM - 1:00 PM (CET)
  • 10:00 AM - 12:00 PM (Irish time)

For Whom

This course is suitable for professionals in the manufacturing industry, including:

  • Employees and decision-makers in SMEs
  • Those working in operations, production, R&D, or process management
  • Experts keen to explore AI applications in manufacturing

Why You Should Do This Course

  • Gain a foundational understanding of AI in manufacturing
  • Learn practical applications to optimize business processes
  • Enhance decision-making with AI-driven insights
  • Stay ahead in a competitive and evolving industry

Register Now

For further information, contact: nada.sanad@oulu.fi

Trainer: Nada Sanad, University of Oulu

In collaboration with: University of Limerick & Flanders Make

This course is part of the REBOOT SKILLS initiative, offering fully funded trainings for the manufacturing industry.