Practical applications and conscious use of AI in everyday life
A 10-hour training course designed in collaboration with Recomb, to help participants understand and use Artificial Intelligence in a concrete and responsible way in personal, social and professional contexts. The course introduces Large Language Models (LLMs) in an essential and accessible way and focuses on practical applications: analysing and rewriting texts, creating informational content, organising data and understanding the logic behind basic no-code automations.
Participants work on real cases, developing digital skills that help them navigate the ongoing technological transformation, without complex technical language but with strong attention to the social and ethical implications of AI.
The course aims to provide participants with tools to use generative AI in a conscious, critical and responsible way, understanding its opportunities, limits and implications in everyday life and within the European context.
Lecturer
Luca Brizzi
Course Period
from 20 May to 24 June
Schedule
Every Wednesday, from 6:00 pm to 8:00 pm
Delivery mode
Online, synchronous format with live sessions, interactive moments and open Q&A with the trainer.
Language
Italian. Real-time captioning with automatic multilingual subtitles is available to support participants’ full comprehension.
Total duration
10 hours
Participation fee
€400
If the minimum number of participants is not reached, alternative dates will be proposed or a full refund will be provided.
For further information: info@eu-gen.org
In line with the principles of inclusion and equal opportunities promoted by the Erasmus+ Programme, EuGen provides a one-off contribution of €250, granted as a reduction of the course registration fee, for participants who are in a documented situation of economic disadvantage.
The contribution is allocated until the available funds are exhausted and is reserved for those belonging to households with income or asset indicators below the thresholds established by the national regulations of the country of residence. Requests may be submitted by email, attaching documentation certifying the economic condition. Applications are assessed in accordance with the principles of confidentiality, data protection and non-discrimination.