Machine learning and artificial intelligence are the next frontier of the company transformation. We’re faced with increasingly present, disrupting technologies, that can make company processes more intelligent and, therefore, more able to bring a real added value to the business, thus, in some cases, opening completely new scenarios.
The companies that intend to increase their value and competitiveness cannot do without the innovation deriving from the introduction of artificial intelligence and of machine learning in its business processes. Nonetheless, how to carry it out is often unknown territory for companies.
The challenge is clarifying what exactly is Machine Learning and understanding the way in which it may offer concrete solutions to business challenges.
The course is aimed at providing the tools, methods and best practices to implement in company contexts, identifying challenging and concrete innovation targets.
Attending this course means setting the basis to build a new professionalism, one that looks ahead, and able to meet the companies’ emerging needs. It means acquiring the necessary skills, both theoretical and practical, to start innovation journeys with Machine Learning, adopting a systemic approach to the strategic, organizational and operational management of projects.
Participants will familiarize themselves with the state of the art technology, with the potential features, limits and necessary requirements for a successful project of Machine Learning and will be able to adjust it to their own company context and reference market. The course has been designed to increase and speed up the participants’ professional growth, providing them with high added value tools, that can be immediately used in their businesses.
To bring innovation at the heart of the company, to carve out a distinct role for ourselves in the companies of the future, to understand the future of companies, to master the technologies that will be our life- and workmates in the future.
Director of Education
" 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. "
Director of Education
" 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. "
The course offers an understanding of the main techniques of artificial intelligence and machine learning, as well as the methodologies and best practices for applying them in business contexts, identifying challenging but concrete and achievable innovation objectives. Taking part in this course means laying the foundations for building a new professionalism that looks to the future and is able to respond to the emerging needs of companies. It means acquiring the skills, both theoretical and practical, necessary to start innovation paths, adopting a systemic approach to the strategic, organizational and operational management of projects.
The course is divided into three modules:
The first phase of the course is aimed at creating the right awareness of what artificial intelligence and machine learning are today, starting from their historical evolution to arrive at the state of the art technology.
The second phase of the course is dedicated to the development of the methodology aimed at applying these techniques in concrete business environments, starting from the identification of the business case and the evaluation and structuring of data and technologies to arrive at the structuring of the team and the management of technological partners.
The dates of the lessons are:
Online activities are scheduled from December 2019.
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.
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.
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
The registration fee for the program is 3,000 euros (plus VAT) to be paid by the start date of the course.
The fee includes attendance at the program, all study material available through the online platform and access to Bologna Business School services, which include: Alma personal wi-fi account, use of Computer Lab PCs, use of study areas and access to the internal gym.
A large free car park is available in the school park.
Discounts are available:
- for early registrations;
- for Business Network companies;
- for Alma and Profingest Alumni;
- for groups of at least 3 people.
Alumni and companies can check the availability of vouchers at the Interprofessional Fund of reference:
The course is reserved for a maximum of 20 participants.
To register, simply download the registration form and send it by email or fax.
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.
Owner Injenia and Antica Innoveria 1.6
Luigi Di Stefano
Full Professor - Department of Computer Science and Engineering
University of Bologna
Consultant, adjunct professor and academic course coordinator
Bologna Business School
Director of Innovation
Full Professor of Information Processing Systems
University of Bologna
Università di Bologna