WHY CHOOSE THIS BBS PROGRAM
For you:
- Understand the fundamentals of AI, Machine Learning, and Generative AI.
- Use AI tools and LLMs to improve productivity and decision-making processes.
- Identify concrete use cases, assessing their opportunities, limitations, and risks.
For your company:
- Develop internal capabilities to adopt AI in an informed and responsible way.
- Identify applications aligned with business priorities and objectives.
- Improve innovation, efficiency, and the quality of decision-making.
Practical Strategies and Tools
This course explores the use of Artificial Intelligence within the Finance function of manufacturing and service companies, with a focus on how AI can support accounting, finance, and management control processes.
Artificial Intelligence is now a tangible reality that is transforming the way companies operate, make decisions, and compete in global markets. This course is designed for business leaders, managers, and professionals who want to stay at the forefront of this rapidly evolving landscape.
The Artificial Intelligence and Generative AI: Practical Strategies and Tools course is designed to provide an in-depth and practical understanding of how AI in general, and Generative AI in particular, can be integrated into business processes to improve productivity, accelerate innovation, and create value. From designing data-driven marketing campaigns and creating personalized content at scale to optimizing business processes, Generative AI offers powerful tools to address today’s challenges through innovative solutions.
Generative AI, in particular, represents a major leap forward in technological innovation. Advanced AI models such as Large Language Models (LLMs) are transforming the way companies create content, interact with customers, and make strategic decisions. Their ability to generate text, images, code, and even business strategies is opening up new opportunities in terms of efficiency and creativity.
In an increasingly complex and competitive business environment, understanding and applying AI is no longer simply an advantage, but a necessity for staying competitive. Participants will gain an understanding of the fundamentals of Artificial Intelligence and Machine Learning and learn how to develop AI strategies for their organizations by identifying opportunities, assessing return on investment (ROI), and aligning AI initiatives with business objectives to maximize value.
They will also learn how to use Generative AI tools, exploring advanced language models (LLMs) and commercial solutions to enhance productivity, improve decision-making processes, and foster innovation.
The course is designed for business leaders and managers who want to integrate AI into their business strategies to optimize processes and foster innovation, as well as professionals who wish to strengthen their technical and practical expertise in AI and Machine Learning. It is also suitable for innovators and entrepreneurs interested in leveraging AI to drive growth and innovation within their organizations.
The program is structured into 2 modules, for a total of 5 learning sessions delivered in a weekend format (Friday and Saturday). Participants may enroll in the full course or in individual modules.
Accreditation
Bologna Business School is EQUIS – EFMD Quality Improvement System accredited, one of the most important international quality assessment and continuous improvement systems for Schools of Management and Business Administration.
Bologna Business School’s Open Programs are included in the Financial Times Ranking, Executive Education category, 2026.
Maurizio Gabbrielli
Director of Education
maurizio.gabbrielli@unibo.it
"Artificial intelligence is changing our lives, our society and our way of doing business. Being aware of these changes, mastering the techniques that cause them and understanding their scope in the short and medium term will be essential to the survival of many companies. This course offers "survival tools" that in many cases can also become development and growth tools."
Cristiano Boscato
Executive Director
cristiano.boscato@bbs.unibo.it
"Those who’ll be able to master machine learning will have a competitive advantage for their future career. What you’ll get at the end of the program isn’t simply being knowledgeable about a technology, as disruptive as it may be, but the ability to use it to foster real business topics: a value that no company nowadays can afford to ignore."
Structure
The course runs over two months and consists of 5 full days, delivered in a weekend format (Friday and Saturday), from 9:15 a.m. to 5:45 p.m.
The program covers 2 thematic modules, structured as follows:
MODULE I – General AI
- Introduction to AI and Machine Learning
- AI Strategies for Business
- AI Ethics, Compliance & Use Cases
MODULE II – Generative AI
- Introduction to LLMs, Tools, Prompt Engineering and Key Challenges
- Advanced Use of Commercial Tools, Practical Lab, Copilot and Presentation Design
The course includes practical learning experiences through interactive labs and real-world case studies, enabling participants to apply the knowledge acquired throughout the program. Participants will also develop up-to-date skills in the use of the latest AI tools, which are increasingly essential for maintaining competitiveness in today’s market. The program also offers opportunities to connect with other industry leaders, exchange knowledge and strategies, and build a valuable network for collaboration and peer learning.
In addition to the theoretical and practical modules, the course includes a final workshop in which participants will have the opportunity to apply what they have learned to a business case from their own organization or to a personal project.
During the workshop, participants will work in teams and collaborate with their peers to develop tailored Artificial Intelligence solutions addressing the selected business case. This provides an opportunity to apply the skills acquired during the course in a practical setting and strengthen participants’ understanding of how AI techniques can be used in business contexts.
At the end of the workshop, each team will present its proposed solution and receive feedback from the course faculty and fellow participants.
COURSES
- What is Artificial Intelligence (AI)
- Introduction to Machine Learning (ML)
- Fundamentals of ML
- Process of developing an ML model
- AI in the corporate context
- Developing an AI strategy
- Implementing an AI strategy
- Challenges and obstacles
- Measuring success
- Ethics and Compliance in AI
- Use Cases
- Introduction to Large Language Models (LLM)
- Prompt Engineering
- Common Problems and Solutions
- Advanced use of commercial tools
- Practical workshop
- AI presentation design
Learning approach
Our courses are characterized by a Faculty of academics and consultants. The teaching methodology is supported by an e-learning platform in which materials and exercises will be loaded for study and in-depth study between the two classroom sessions.
Faculty
Faculty members at Bologna Business School work together offering outstanding teaching standards. An international and interdisciplinary approach is guaranteed by a joint team of distinguished national core professors, adjunct, visiting professors, guest speakers and top managers.
-
Luigi Di Stefano
Full Professor of Information Processing Systems
University of Bologna
-
Cristiano Boscato
CEO
Dinova
-
Maurizio Gabbrielli
Full Professor of Computer Science
University of Bologna
-
Daniela Tafani
Fixed-Term Researcher of Political Philosophy
University of Pisa
Alumni
Manuel Gulmanelli
Direttore @ Cedab
Artificial Intelligence & Machine Learning for Business, anno 2019, I edizione
"Oggi sentiamo parlare in continuazione di Intelligenza Artificiale e Machine Learning ma, molto probabilmente, non abbiamo la piena coscienza di quanto profondamente queste tecnologie stiano cambiando i modelli di business nelle aziende. Questo corso mette sotto gli occhi dei manager le potenzialità dirompenti di queste tecnologie e aiuta a costruire le competenze per valutare se, all’interno delle aziende, ci sono ambiti di applicazione adeguati. L’analisi approfondita dei processi aziendali e delle persone che li svolgono è fondamentale per arrivare a risultati concreti e non perdersi in inutili voli pindarici.Il corso alterna lezioni teoriche che aiutano la comprensione del funzionamento delle tecniche di AI e ML a momenti pratici in cui, i professionisti spiegano le tecniche che si adottano in casi e progetti reali dando visione pratica degli importanti risultati che si ottengono. Si lavora duramente per comprendere e applicare, per ascoltare lezioni di accademici di primo piano e per “sporcarsi le mani” in project work di classe che arricchiscono professionalmente in maniera incredibile."
Networking
Networking takes place between students in the same class, between participants and lecturers, and with students from other courses or previous editions of the same program.
Alumni
Manuel Gulmanelli
Direttore @ Cedab
Artificial Intelligence & Machine Learning for Business, anno 2019, I edizione
"Oggi sentiamo parlare in continuazione di Intelligenza Artificiale e Machine Learning ma, molto probabilmente, non abbiamo la piena coscienza di quanto profondamente queste tecnologie stiano cambiando i modelli di business nelle aziende. Questo corso mette sotto gli occhi dei manager le potenzialità dirompenti di queste tecnologie e aiuta a costruire le competenze per valutare se, all’interno delle aziende, ci sono ambiti di applicazione adeguati. L’analisi approfondita dei processi aziendali e delle persone che li svolgono è fondamentale per arrivare a risultati concreti e non perdersi in inutili voli pindarici.Il corso alterna lezioni teoriche che aiutano la comprensione del funzionamento delle tecniche di AI e ML a momenti pratici in cui, i professionisti spiegano le tecniche che si adottano in casi e progetti reali dando visione pratica degli importanti risultati che si ottengono. Si lavora duramente per comprendere e applicare, per ascoltare lezioni di accademici di primo piano e per “sporcarsi le mani” in project work di classe che arricchiscono professionalmente in maniera incredibile."
COMPANIES
Over the years, our partners have been constantly involved in the various activities that make up the structure of our programs. Companies belonging to our network participate in project work and master classes; they actively contribute to introducing guest speakers and organizing company visits. Our partners are our first supporters: they sponsor various scholarships, host internships for students and provide professional opportunities for graduates. The partner companies of Bologna Business School are:
AEROPORTO G. MARCONI ASSICOOP BOLOGNA METROPOLITANA AUTOMOBILI LAMBORGHINI BOLOGNA FIERE BREVINI POWER TRANSMISSION CAMERA DI COMMERCIO DI BOLOGNA CAMERA DI COMMERCIO DI FERRARA CAMERA DI COMMERCIO DI FORLÌ-CESENA CAMERA DI COMMERCIO DI MODENA CAMERA DI COMMERCIO DI RIMINI CAMST CARPIGIANI GROUP CASSA DI RISPARMIO IN BOLOGNA CONFCOMMERCIO EMILIA ROMAGNA CONFINDUSTRIA EMILIA ROMAGNA COSWELL DATALOGIC DUCATI MOTOR HOLDING ENEL ENGINEERING INGEGNERIA INFORMATICA EXPERT SYSTEM FALORNI FASTWEB FERRARELLE FERRARI FERRETTI GROUP FINALMA FONDAZIONE CARISBO FONDAZIONE CASSA RISPARMIO CESENA FONDAZIONE CASSA RISPARMIO DI CENTO FONDAZIONE CASSA RISPARMIO DI IMOLA FONDAZIONE CASSA DI RISPARMIO DI CARPI FONDAZIONE CASSA DI RISPARMIO DI FERRARA FONDAZIONE CASSA DI RISPARMIO DI PADOVA E ROVIGO FONDAZIONE G. MARCONI FONDAZIONE IBM ITALIA FONDAZIONE ISABELLA SERÀGNOLI FONDAZIONE DEL MONTE DI BOLOGNA E RAVENNA FONDAZIONE PER LA COLLABORAZIONE TRA I POPOLI FOOD TREND FOUNDATION FURLA GOOGLE ITALIA GRANAROLO GROUPM GRUPPO COESIA GRUPPO SISTEMA H-ART HSPI HAWORTH HERA HORSA IBM ITALIA IMA ICONSULTING INTESA SAN PAOLO KPMG ADVISORY LABORATORI GUGLIELMO MARCONI LANDI RENZO LEGACOOP BOLOGNA LIGHTHOUSE MANUTENCOOP MAPE MAPS MASAI ITALIA MASERATI MICROSOFT ITALIA MONTENEGRO N.C.H. NUOVI CANTIERI APUANIA OLIDATA ONIT GROUP OPERA SANTA MARIA DEL FIORE PHILIP MORRIS ITALIA POLTRONESOFÀ REGIONE EMILIA-ROMAGNA RICOH S.E.C.I. GRUPPO INDUSTRIALE MACCAFERRI SAP SCS CONSULTING STMICROELECTRONICS SCHNEIDER ELECTRIC SEPS TECHNOGYM TEUCO THE BOSTON CONSULTING GROUP TOYOTA MATERIAL HANDLING ITALIA TREVI GROUP UMBERTO CESARI UNICREDIT UNIEURO UNINDUSTRIA BOLOGNA UNIPOL VEM SISTEMI VERONESI VIABIZZUNO VIDEOWORKS VOLVO CAR ITALIA WPP ITALIA YOOX NET-A-PORTER GROUP
FEES
The tuition fee for each individual module is:
- €2,000 (+ VAT) for participants sponsored by companies and institutions
- €1,600 (+ VAT) for individual participants
The tuition fee for the full program is:
- €3,600 (+ VAT) for participants sponsored by companies and institutions
- €2,900 (+ VAT) for individual participants
The tuition fee includes attendance at the program, all learning materials available through the online platform, and access to Bologna Business School services, including a personal BBS account and use of the study areas.
Discounts are available:
– for early registrations;
– for Business Network companies;
– for Alma and Profingest Alumni;
– for groups of at least 3 people.
INTERPROFESSIONAL FUNDS
Alumni and companies can check the availability of vouchers at the Interprofessional Fund of reference:
Fondimpresa – for middle managers / middle management
Fondo Dirigenti PMI – for managers of industrial SMEs
Fonditalia
Fondirigenti – for managers
Fon.Coop – for cooperative companies
REQUIREMENTS
The course is reserved for a maximum of 20 participants.
APPLICATION PROCESS
FAQs
Yes, there is a certificate upon successful completion of all courses, the final examination and 70% attendance. The certificate will attest to successful completion of the courses and will award 60 university credits (CFU).
The documents used in the classroom and any further reading or exercises will be uploaded to our platform, whose credentials will be delivered in the classroom.
Should a group of colleagues wish to participate in the program, it is possible to contact the Program Manager to evaluate an ad hoc participation price.
Our short courses do not require a specific course of study. It is important to have a few years of work experience behind you that can help you, inside the classroom, by bringing real cases dealt with and solutions adopted during your work.
CONTACT US
DOWNLOAD BROCHURE
Book an appointment
Telefono: +39 051 2090129
Email: openprograms@bbs.unibo.it
