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Tecnopolo Ferrara
  • ENGLISH
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  • HIGHLIGHTS
    • The Technopole supports the ‘Ugo Coluccia’ cultural courses in Copparo
    • STEP Platform - Second regional call for investments in strategic technolog
    • Cinema and research come together: Unife launches the film festival "Scienc
    • The third edition of the Advanced School in Artificial Intelligence is unde
    • Beyond the Cure: A Journey into the Future of Advanced Therapies
    • Open Doors at the Scientific and Technological Center
    • Researchers from Ferrara's Technopole at the European Researchers' Night
    • Physics in Action: The OLIFIS Summer School visits the Ferrara Technopole
    • UCLM delegation visits Ferrara's Technopole
    • From Ferrara's Technopole to R2B: Building the Future of Innovation
    • Talent Hub: Ferrara's regional group meets at Ferrara's Tecnopolo
    • First integrated digital survey and HBIM modelling of the Colosseum complet
    • Workshop “Innovative NVH Methods for Industry 4.0”
    • The second edition of the International Open Innovation Programme is underw
    • Interno verde 2025
    • INTECH4WATER: a sustainable future in wastewater treatment
    • The Ferrara Technopole and Digital security for businesses
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      • The Technopole supports the ‘Ugo Coluccia’ cultural courses in Copparo
      • STEP Platform - Second regional call for investments in strategic technolog
      • Cinema and research come together: Unife launches the film festival "Scienc
      • The third edition of the Advanced School in Artificial Intelligence is unde
      • Beyond the Cure: A Journey into the Future of Advanced Therapies
      • Open Doors at the Scientific and Technological Center
      • Researchers from Ferrara's Technopole at the European Researchers' Night
      • Physics in Action: The OLIFIS Summer School visits the Ferrara Technopole
      • UCLM delegation visits Ferrara's Technopole
      • From Ferrara's Technopole to R2B: Building the Future of Innovation
      • Talent Hub: Ferrara's regional group meets at Ferrara's Tecnopolo
      • First integrated digital survey and HBIM modelling of the Colosseum complet
      • Workshop “Innovative NVH Methods for Industry 4.0”
      • The second edition of the International Open Innovation Programme is underw
      • Interno verde 2025
      • INTECH4WATER: a sustainable future in wastewater treatment
      • The Ferrara Technopole and Digital security for businesses
    • ART-ER
    • TECNOPOLI
    • LINKEDIN
    • YOUTUBE
    • RINNOVATECH

FERRARA TECHNOPOLE     LABS     SERVICES     HUB TALENTI    HIGHLIGHTS    MANAGEMENT     CONTACTS 

The third edition of the Advanced School in Artificial Intelligence is underway

October 15, 2025

Following the success of the first two editions, the Advanced School in Artificial Intelligence (ASAI) returns in January 2026. Organized by the Department of Engineering at the University of Ferrara and funded by the Emilia-Romagna Region as part of the Advanced Schools in Artificial Intelligence in Emilia-Romagna project, the School aims to create an ecosystem of knowledge and innovation in Emilia-Romagna capable of attracting talent, encouraging entrepreneurship, and strengthening regional competitiveness at the national and international levels.

The 2026 edition offers a 130-hour training program, including 100 hours of teaching, combining theory, practice, and project work:

  • 20 hours of online lessons (January 7–9, 2026);

  • 80 hours of in-person lessons (January 12–23, 2026, Monday to Friday);

  • 30 hours of project work, to be completed within one month of the end of the in-person classes.

Participation is free (any travel and subsistence expenses are the responsibility of the participants).

ASAI aims to offer participants advanced and multidisciplinary training in Artificial Intelligence (AI), providing tools to design, develop, and implement innovative solutions in various application contexts. Specifically:

  • Introduction to Artificial Intelligence and the Python language;

  • Constraint programming and applications to complex problems;

  • Supervised and unsupervised machine learning techniques;

  • Advanced skills in Deep Learning (convolutional neural networks, recurrent networks, autoencoders, self-supervised learning);

  • Foundations and applications of generative AI (Large Language Models, multimodal and diffusion models).

The program is structured into teaching modules that alternate theoretical lectures with practical workshops, ensuring solid and applicable learning. Upon completion of the course, the University of Ferrara will issue an official certificate of participation. The activities will be taught in Italian, with teaching materials available in Italian or English. Admission is limited to a maximum of 20 participants, selected through an official call for applications. Participants must have a bachelor's degree and proficiency in at least one programming language. The course will be activated upon reaching a minimum of 14 participants.

The School's scientific direction is entrusted to Professor Elena Bellodi (Department of Engineering), who is affiliated with the IN4 laboratory at the Ferrara Technology Park.

The Teaching Committee is composed of Professors Elena Bellodi, Marco Gavanelli (Department of Engineering), and Fabrizio Riguzzi (Department of Mathematics and Computer Science), also affiliated with the IN4 laboratory. Professors Marco Alberti and Riccardo Zese, professors with extensive experience in the field of AI, also contribute.

The School is made possible thanks to the contributions of faculty, researchers, postdocs, and doctoral students from the AI@UniFE research group, which brings together expertise from the Departments of Engineering, Mathematics and Computer Science, Chemical, Pharmaceutical, and Agricultural Sciences, and Environmental and Prevention Sciences.

The research group has decades of expertise in Artificial Intelligence, Machine Learning, Deep Learning, Neuro-symbolic Integration, and the Semantic Web.

Interested parties must submit their application using the online form available at asai.unife.it by 11:59 PM CEST on October 31, 2025.

Tecnopolo di Ferrara

Via Giuseppe Saragat, 13

44122 Ferrara

tecnopolo@unife.it

Tel. +39 0532 293261



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