Artificial Intelligence for Everyday Work

Practical applications, automation and productivity

A 10-hour training course designed to help participants learn how to use artificial intelligence in a practical and operational way in everyday work.

The course provides a concise introduction to Large Language Models (LLMs) and focuses immediately on practical applications: analysing and revising documents, creating content, organising data, and setting up small no-code automations.

Participants work on real cases, developing skills that can be applied directly in professional contexts, without going into theoretical technicalities.

The programme is delivered in collaboration with Recomb, a think tank and consulting company specialising in the study of generative AI and its practical applications in organisational contexts.

Course objectives

The course aims to equip participants with the tools to integrate generative AI into everyday work processes, improving efficiency, content quality and productivity through a critical and informed approach.

Course structure (10 hours)

Introduction to generative AI
A brief overview of artificial intelligence, LLMs and the main tools currently used in professional contexts.
Analysing business documents with AI
Using ChatGPT and similar tools to analyse documents, identify critical points, strengths and areas for improvement.
Content summarisation and rewriting
Adapting the same content for different objectives—reports, press releases, posts, executive summaries—while maintaining coherence and professionalism.
Data organisation and representation
Using AI to structure information, create tables, summaries and initial visualisations to support decision-making.
Group work on a practical case
Applying the acquired skills to a shared real-life case, fostering collaboration and peer learning.
No-code automations
Creating simple automations without programming by connecting AI tools to Drive, email, CRM systems and other workplace tools.
Integration with external platforms
Introduction to building automated workflows using Make, n8n or similar tools to manage repetitive processes.
Final micro-project
Design and development of a personalised micro-project, applicable to the participant’s own work context, to be presented and discussed at the end of the course.

Skills developed

analyse and optimise business documents using AI tools;
transform complex content into clear and effective outputs;
summarise key information and relevant KPIs;
design effective prompts for professional and tailored results;
implement no-code automations integrated into daily workflows;
critically assess AI outputs, recognising limitations and potential;
improve everyday productivity with a measurable and concrete impact.

Practical information

Lecturer
Luca Brizzi

Course period
From 8 April to 13 May

Schedule
The course takes place every Wednesday, from 6:00 PM to 8:00 PM (CET)

Delivery mode
Online, live synchronous format, with live sessions, interactive discussions and open Q&A with the trainer.

Language
Italian. Real-time captioning with automatic multilingual subtitles is available to support participants’ comprehension.

Total duration
10 hours

Participation fee
€400

If the minimum number of students is not reached, alternative dates will be proposed or a full refund of the amount paid will be made.

For further information, please contact us at info@eu-gen.org

To complete the registration form, click the button below:

CLICK HERE TO REGISTER FOR THE COURSE

Financial support for participants with fewer opportunities

In line with the principles of inclusion and equal opportunities promoted by the Erasmus+ Programme, a one-off additional contribution of €250 is available as a discount on the course fee for students and recent graduates who are in a documented situation of economic disadvantage.

The contribution is granted until the available funds are exhausted and in accordance with the objective criteria outlined below.

Definition – Economic disadvantage

Participants considered to have fewer opportunities for economic reasons are those belonging to a household with income or asset indicators below the thresholds established by national legislation or by the relevant national criteria in the country of residence.

This support does not apply to other categories of fewer opportunities (such as disability, health conditions, migrant background, or other situations not directly related to economic circumstances).

Click here to learn more about the conditions required to access the financial support.

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