Join this road show of AI applications to stimulate your computational creativity

Description

The aim of this course is to introduce executives, project and innovation managers as well as engineers to AI.On the one hand, it will become clear that engineering is a significant part of building AI systems. Likewise existingengineering approaches (like signal processing) have profoundly influenced AI.The main focus, however, is to introduce employees from engineering disciplines, to the broad range of AI techniques(both symbolic techniques as subsymbolic) that were developed over the last 70+years.The course will consist mainly of testimonials from industry professionals that have applied AI or developed noveltechniques within their domain.Also, we will make things more tangible by organising a low-entry hands-on codingworkshop.

Course content

• 1h Introduction to the intersection of engineering & AI in different disciplines, including electronics, robotics and food design.
• 1h Overview of common techniques in AI and how they can contribute to engineering;
• 1h Introduction to engineering practices in AI (like MLOps)–guest speakers
• 6h Testimonials of practitioners about projects that use AI to improve or complement their engineering (guest speakers);
• 3h Gain hands-on-experience in a technical workshop.

Learning outcomes

• Map how AI can support & complement engineering;
• Understand how data and knowledge can complement each other;
• Understand problems and solution related to putting AI in production;
• Gain knowledge about potential techniques that can be applied;
• Develop a critical and creative mindset towards data-driven approaches;
• Understand the limitations of AI techniques.

Price

Thanks to the support of the European Commission and Innoviris in the framework of the EDIH sustAIn.brussels, SMEs and midcaps receive this training free of charge (0€), in the context of de minimis aid. Large companies and participants without a company pay 6746€ per participant.

Teachers

• Olivier DEBEIR

Dates

• • Tuesday 13 May 2025 (9:00- 16:00) - Online
  • Thursday 15 May 2025 (13:00 - 16:00) - On site 
  • Friday 16 May 2025 (13:00 - 16:00) - On site 

*Please note that the schedule and location is subject to change and may be updated as necessary.