International mobility “m.A.I.n.street”_ reciprocal training course

International mobility “m.A.I.n.street”_ reciprocal training course

Transnational Mobility Call for Proposals from the Piedmont Region.

Institutions/actors involved: O.L.Tr.E. formazione - Accreditation Code B319.

Roles: O.L.Tr.E. formazione manages and organizes, also in collaboration with secondary schools, the collection activity in Italy. Through the local partner(s) in the destination country, it promotes accommodation and company placement activities, as well as monitoring and support throughout the stay abroad.

Relevant calls/actions: Call for proposals on transnational mobility from the Piedmont Region, DD ACT 242/A1513A/2025 of 08-05-2025 and D.D. no. 679 of 18-11-2025, which authorized the training activities

- period 2025-2028. Activity authorized and in the operational and organizational phase

For participants, the funding covers round-trip travel, meals, and accommodation.

 

- a reciprocal training course, lasting 160 hours (28 days) for a total of 12 participants, resident or domiciled in Piedmont (6) and Portugal (6). The aim of this course is to create forms of "multilingual training" focused on AI technologies.

Both events will be held in Piedmont (80 hours, 14 days) and Ireland (80 hours, 14 days). (please see the attached proposal PILOT AI)

m.A.I.n.street is an innovation-based project (concerning new technologies, robotics, artificial intelligence, etc.), focused on young people and designed to build their future. It is designed to help identify existing or emerging labor market needs and specific professional needs in specific sectors, enabling organized and shared responses aimed at developing youth employment. The project aims to contribute to improving the capacity of initial and continuing vocational education and training systems at all levels to meet the needs of the labor market (regarding the job offer).

m.A.I.n.street also intends to innovate the training and career development environment, drawing on the experience gained in previous transnational activities with the aim of "bringing back to Italy" work, professional, and teaching experiences gained during periods of work, visits, and activities in European countries.

Interested parties (companies, schools, training agencies, stakeholders, institutions, social partners, chambers of commerce, industry, or labor, sectoral or professional associations of employers or workers, etc.) will find a meeting place and a platform for sharing within the working community, a web-based environment capable of serving as a hub for accumulation and aggregation, but also and above all a repository of lived experiences to be "told," and a repository of materials and technologies with significant evidence of AI and related applications for businesses.

The project aims to identify opportunities for cooperation, innovation and exchanging best practices, and provide concrete solutions to professional qualification needs, especially among young people, but also among trainers and those with management and strategic responsibilities.

m.A.I.n.street also seeks to establish alliances between institutional bodies and organizations that provide training on "sector-specific skills," seeking to establish lines of dialogue, including through the Working Community - The Learning Network (a working community project for the creation of a service technology, consulting, and documentation center). This is to ensure that various stakeholders interested in skills renewal, starting with Italian and other European companies, can work together toward common goals (renewing and updating skills, identifying sectors for new employment, etc.).

The operational program on transnational mobility promoted by O.L.T.E. formazione is based on the concept of innovation. Innovation arises not only from new technologies, but above all from the opportunity to share experiences, machinery, and results that are closely intertwined with regional priorities regarding eco-sustainability and recycling.

Universities, innovation centers, Fab labs have been and remain a key driver of innovation. Their core and underlying idea are prototyping labs open to all, intelligent AI applications, where technology is collaborative and, above all, widespread. Much like the workshops of the past, they were the true hub of a local economy, uniting all stakeholders in a region. They also drive innovation in industry and SMEs, leveraging today's extensive and critical use of Artificial Intelligence to learn new professions and benefit from technological innovation.

AI technologies intertwined with those of digital fabrication, innovation linked to Industry 4.0 and 5.0 (Italian project), technologies that enable innovation in production processes by unprecedentedly speeding up prototyping and customizing the products a company can offer on multiple levels (production techniques and methods, logistics, freight transport, etc.), but also numerically controlled machines, robotics and related AI-related innovation.

This is the challenge facing today's companies looking to the future or innovating technologies and production processes while also taking global innovation into account. To meet this challenge, it is absolutely essential to focus on the new generations.

The true protagonists of this revolution will be the young people currently training in schools and universities, who will be a resource for businesses in Piedmont and Italy more generally, even with their innovative technological skills and international experience.

The basic structure of the reciprocal training course is as follows:

Course Description

Programming. Python is used as the primary language to introduce application development, utilizing the JupyterLab development environment.

Networks and IT services. The operation of a local area network (LAN), the role of IP addresses, server services, web browsers, communication protocols, and diagnostic/verification tools.

Communication between applications. MQTT (Message Queuing Telemetry Transport) and the Mosquitto broker.

IoT and physical devices. Sensors, actuators, ESP32 microcontrollers, Zigbee/Thread gateways, and Home Assistant supervisors.

Web services and CMS platforms. WordPress, WooCommerce, Moodle, Joomla, and API services.

Artificial intelligence is introduced as an operational support tool. It is used to analyze problems, explain errors, propose potential solutions, assist in writing code, and improve technical documentation.

3D printing, CNC machines, and CAM (Computer-Aided Manufacturing).

Security, maintenance, and documentation.Learning Outcomes

Devices and equipment available to students

1.  Day-by-day plan

PART A – ITALY Turin – Oltre Formazione

(arrivals from Portugal Sunday 07/02 2026)

WEEK 1-ITALY

Mon 08 Feb

Welcome and induction . S.O programming skills

Tue 09 Feb

Python, JupyterLab, Libraries and Data Formats

Wed 10 Feb

Industrial Metrology (analog and digital instrum.)

Thu 11 Feb

Using Artificial Intelligence as a Personal Assistant

Fri 12 Feb

CAD/CAM and CNC Applications

WEEK 2 – ITALY

Mon 15 Feb

ESP32-C6 Simulator

Tue 16 Feb

Raspberry Pi 5 and MQTT Broker

Wed 17 Feb

Embedded Systems and ESP32 Microcontrollers

Thu 18 Feb

MicroPython on ESP32 Microcontrollers

Fri 19 Feb

Integration with Node-RED and Final Projects

Departure for Lisbon

PART B – PORTUGAL Lisbon – POLITEC&ID

WEEK 3- PORTUGAL

Mon 22 Feb

Welcome and induction (4 h) Introduction to CAD

Tue 23 Feb

From CAD to object

Wed 24Feb

CAM and CNC

Thu 25 Feb

Machine learning 1: understanding data

Fri 26 Feb

Machine learning 2: better models

WEEK 4- PORTUGAL

Mon 1 Mar

Machine learning 3: data challenge

Tue 2 Mar

Computer vision on edge devices

Wed 3 Mar

Responsible AI (4 h) Final project kick-off (4 h)

Thu 4 Mar

Final project build

Fri 5 Mar

Testing, pitch and certificates

Back in Turin 06/03/2027

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Informazioni base

  • Ore totali: 0
  • Costo+IVA: Gratuito
  • Tipo di corso:
  • Categoria: ICT/SW
  • Codice Bando: P.M.T.
  • Iscrizioni:
  • Fatturazione: Finanziata
  • Sede: C.so Siracusa 10 - 10136 Torino
  • Attestati: Per i tirocini e le visite di studio viene rilasciato l'attestato regionale di partecipazione, per i corsi è rilasciato l'attestato di frequenza e profitto

Requisiti

Transnational training, including on a reciprocal basis

Unemployed individuals aged between 18 and 29—whether or not they are enrolled in initial or higher vocational training programs organized by the partner regions, and provided they are not participating in any other type of training program or internship.

The recruitment process consists of the following:

A selection and motivational interview for the project;

Verification of the requirements for the profile;

Assessment of theoretical and practical knowledge by a subject-matter expert;

Confirmation of availability to participate in the training course (MOTIVATION).

Candidate Selection

The selection of candidates will be based on criteria that take into account:

- Past achievements (academic, university, or professional);

- Technical knowledge (acquired through schooling or university studies);

- Language skills, with a particular focus on English.

The specific points to be assessed during the selection phase are detailed below.

Selection Process

Part One (The Test)

Tests will be administered either in paper format or via an online platform. Selection sessions will take place according to the established schedule of invitations and confirmations. Should the funding body grant an extension, additional dates for the selection tests may be scheduled.

The test consists of 10 multiple-choice questions. Scoring is as follows: 1 point for each correct answer; 0 points for incorrect or unanswered questions.

The content of the test will focus on English language proficiency.

Part Two (The Interview)

The second part of the selection process consists of an interview covering the candidate’s previous academic and/or professional background (where applicable), personal details, individual interests, and future prospects. To participate in the interview, candidates must complete an interview form, providing responses to questions regarding their personal curriculum vitae, their motivation for attending the courses, and their availability. The Ranking

Based on the results achieved in the test and the findings from the interview, a ranking will be established, which will determine the list of admitted candidates and those admitted conditionally.

The following factors will be taken into account for the ranking:

- Motivational interview (60%)

- Test results (20%)

- University grade point average (20%)

Date

progetti di mobilità transnazionale 2025-2028

date dei colloqui di pre-selezione

Date per i colloqui di selezione individuale

dal 16 novembre 2026 Mattina su appuntamento Per prenotazioni telefonare al numero 0112482084

E' previsto un webinar informativo con il Partner intermediario del paese di destinazione (durata massima 1 h)

questo il link per il collegamento

https://smart.nanoh.it/rooms/3t2-ekt-huv-lfr/join

I incontro ore 9,30-10,30

libero , indicare giorno

II incontro ore 10,30-11,30

libero,.  indicare giorno

III incontro ore 11,30-12.30

libero,  indicare giorno

IV incontro ore 17.00-17,30

libero, indicare giorno

V Incontro ore 17.30-18.00

libero,  indicare giorno