The content of this school is mainly aimed at industry professionals and SMEs with basic knowledge of mathematics and programming (engineers, computer scientists, statisticians, technical project managers, product managers, systems engineers, etc.), but professors and graduate students in science or engineering (mainly those who are not yet familiar with deep learning) may also find it interesting. A minimal knowledge of programming (ideally Python) and basic knowledge in mathematics (linear algebra, statistics) is desirable.

At the end of the training week, participants should be able to:
- Understand the basics and terminology related to deep learning
- Understand the methodology for carrying out a project in deep learning
- Identify the types of neural networks to use to solve different types of problems
- Get familiar with deep learning libraries through practical and tutorial sessions