March 16, 2026
This intensive 24-hour course, divided into 6 days, is designed for entrepreneurs and professionals who want to integrate Artificial Intelligence into their businesses. The programme covers the fundamentals of AI and Generative AI (including LLMs such as ChatGPT, Google Gemini and Anthropic Claude), risk, compliance and ethics issues (GDPR, AI Act, intellectual property), and advanced Prompt Engineering techniques for text management and querying company data. The course also explores the application of Generative AI for graphics and presentations (Leonardo AI, DALL-E, Gamma, Napkin AI), business process optimisation, AI-assisted coding, and the use of autonomous AI agents to automate complex tasks. It will also cover the use of AI to improve customer management, customer support through intelligent chatbots, and the organisation of corporate knowledge. An analysis of generative AI for data analysis and management reporting will also be included. to request activation for your company, contact us Basic Level Minimum number of participants: 15Blog Archives
AI to get started – practical tools for introducing AI
March 14, 2026
The course aims to offer practical tools for strategically integrating these technologies within a company. It is designed for companies and professionals who want to integrate AI into their processes, regardless of their level of knowledge. The course, in both structure and content, is modular and customisable, focusing on generative and predictive AI, from the basics to advanced applications. Objectives/Benefits: to help acquire practical skills to optimise processes and leverage AI strategically. Download the course programme Request information to organise the course for your company Basic Level Maximum number of participants: 25Executive Master in Decision Intelligence
December 3, 2025
The Executive Master in Decision Intelligence is an excellence training programme designed for professionals, managers, executives, public-sector officials, entrepreneurs and consultants who wish to strengthen their decision-making abilities and lead responsible innovation in the modern business context. What you will learn: This Master will give you advanced skills to tackle complex and uncertain decision-making processes, at strategic, organisational and economic levels. You will acquire fundamental skills in data analysis and interpretation, leveraging the latest Artificial Intelligence and Machine Learning technologies, integrated with solid foundations in behavioural, neuroscientific and technological evidence. Key Objectives: Improve decision-making in complex and uncertain contexts Authoritatively manage change and digital transformation Strengthen leadership and internal relational dynamics Promote innovation and security (including cybersecurity) in a sustainable way Download the course programme Schedule being finalised and subject to change: First lesson scheduled for 23 January 2026 - Time Friday 2:00pm-6:00pm | Saturday 9:00am-1:00pm (on alternate weeks) Intermediate level Minimum number of participants: 8 Instructors: Prof. Ennio Bilancini - Economics Prof. Gabriele Costa - Cybersecurity Prof. Sibilla Di Guida - Economics Dr. Letterio Galletta - Computer Science Prof. Nicola Lattanzi - Management and Strategy Prof. Pietro Pietrini - Clinical Biochemistry and Neuroscience Prof. Fabio Pinelli - Computer Science Prof. Emiliano Ricciardi - Cognitive Neuroscience Prof. Mirco Tribastone - Computer ScienceComputer Vision: strategies and opportunities for the agri-food sector
December 2, 2025
Computer Vision is a discipline of AI concerned with extracting information from visual data (images and video), replicating and enhancing human vision capabilities. The course is structured to explore Computer Vision techniques in depth. In particular, the course will be aimed at the agricultural and agri-food sector, where it plays a highly strategic role, as it is not merely a "useful" technology but a genuine enabling factor for the agriculture of the future, often referred to as Agriculture 4.0 or Smart Agriculture. Participants will have the opportunity to acquire theoretical and practical knowledge through concrete examples, gaining a complete and operational view of this technology.. Objectives of the Computer Vision Course The course aims to provide participants with the skills needed to: understand the fundamentals of Computer Vision; learn the relevant techniques; apply CV in specific contexts; analyse visual data, identify innovation opportunities. Benefits of Attending the Course: Computer Vision is a rapidly growing field and the skills in this area are highly sought after in both the current and future job market, particularly in Agri-Tech; improved professional performance; competitive advantage; innovative problem solving; preparation for the future: being ready to face the challenges of digitalisation and Agriculture 4.0, making the most of the potential of new technologies. The total duration of the course is 24 hours, divided into 6 days of 4 hours each. Next edition planned for 2026 - Schedule being finalised Download the full programme Final schedule to be confirmed Intermediate level Minimum number of participants: 10Data-Driven Marketing: Strategies for personalised communication
October 1, 2025
The course teaches hoteliers and hospitality operators how to leverage guest data to create targeted, relevant communications throughout the entire customer journey. Participants will learn how to collect, analyse and organise data, use advanced CRM and marketing automation software, and effectively segment audiences. Space is given to the use of artificial intelligence to automate segmentation, generate personalised content, predict behaviour and suggest marketing actions based on predictive models. AI will also be used to optimise multi-channel campaigns and improve engagement performance. The course provides practical tools to personalise the customer experience, analyse marketing KPIs and use data to increase loyalty, satisfaction and long-term value. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme Registrations closed Intermediate level Minimum number of participants: 10Revenue Management 4.0: Advanced technologies for dynamic pricing and predictive analytics
October 1, 2025
The course explores in depth the strategic use of revenue management tools and dynamic rates to optimise pricing policy and maximise revenue. Through a data-driven approach, participants will learn how to apply pricing algorithms, forecasting techniques and big data analysis to make more effective pricing decisions. The training course also includes the analysis of key revenue KPIs, such as ADR (Average Daily Rate), RevPAR (Revenue per Available Room) and Occupancy Rate, to assess performance and improve the overall profitability of the property.The objective of the module is to provide hoteliers with advanced skills to manage prices dynamically, anticipate demand and optimise revenue in real time through the use of digital tools and predictive analytics. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme New edition planned for 2026. Registrations closed Intermediate level Minimum number of participants: 10Technologies for the small hotelier – A compass to find your way
July 24, 2025
This course aims to guide small and medium-sized hoteliers in the conscious and progressive adoption of the most effective technologies to maximise revenue and optimise costs. The module helps to understand what they really need depending on the property's level of digital maturity, and how to effectively integrate different tools and software (RMS, PMS, CRM, Channel Manager) to avoid waste, misalignment and operational inefficiencies. The course guides small hoteliers in choosing and implementing the technologies best suited to their needs, starting with an assessment of the property's level of digitalisation. Through a pyramid approach, the most suitable solutions will be identified based on the degree of digital maturity of the hotel. The course includes practical exercises and case studies to help hoteliers select the best technologies while ensuring effective integration between the different tools. Registration requests submitted by 10/10/2025 will be taken into consideration. Instructor profile The instructors of this course are experienced technology professionals, active in consulting for hoteliers and in developing software and integrated suites for the hospitality industry. The team includes consultants with expertise in digitalisation for hospitality, with solid experience in supporting accommodation facilities in adopting digital technologies to optimise operations and revenue, and specialists in developing software and technology platforms for hospitality, with in-depth knowledge in creating and integrating systems such as PMS, RMS and CRM, able to explain their functionalities and practical benefits. Their expertise ensures a concrete training approach oriented towards the practical application of technologies in the sector. Download the full programme New edition planned for 2026. Registrations closed Intermediate level Minimum number of participants: 10Data Security in the Company: Technologies for Cybersecurity
July 14, 2025
The course "Data Security in the Company (Technologies for Cybersecurity)" aims to provide participants with the knowledge and skills needed to effectively protect sensitive information within a business context. The course will provide the technical skills essential to address cybersecurity challenges, and the key professional expertise in protecting one of the most valuable assets of any company: data. Participants will have the opportunity to acquire theoretical and practical knowledge through concrete examples, gaining a complete and operational view of this technology. Course objectives The course aims to provide participants with the skills needed to: Understand the cyber threat landscape; Identify and assess risks; Use cybersecurity technologies; Manage security incidents; Ensure regulatory compliance; Promote a security cultureUnderstand the cyber threat landscape; Identify and assess risks; Use cybersecurity technologies; Manage security incidents; Ensure regulatory compliance; Promote a culture of security Benefits of Attending the Course Strengthened protection of sensitive data; Improved company reputation; Regulatory compliance; Operational resilience; Competitive advantage; Training of internal staff. Download the full programme Intermediate level Minimum number of participants: 10Innovation Management and Business Modelling – Between Industry 4.0 and 5.0
July 9, 2025
The course is designed to guide entrepreneurs, managers and professionals through a structured programme to develop the ability to innovate consciously and strategically. Through six complementary modules, participants will acquire concrete tools to assess their organisation's innovation potential, outline new strategies, redesign the business model, validate their ideas in the market and build a business case effective business case. The course combines theory, real case analysis and practical exercises, fostering the development of essential skills to operate in business contexts oriented towards innovation and sustainable digital transformation (Industry 4.0 and 5.0). By the end of the course, participants will be able to: Assess the degree of innovation maturity of their own company, identifying strengths and areas for improvement. Define an innovation strategy based on concrete drivers, aligned with business objectives and measurable in its results. Redesign the business model through a business design approach, with a focus on sustainability, value and competitiveness. Validate new value propositions in the market using structured methodologies and continuous feedback cycles. Identify the distinctive factors of competitiveness and develop levers to strengthen the company's position relative to competitors. Draft a concrete operational plan in the form of a business case to support investment decisions in innovation projects. The total duration of the course is 24 hours, divided into 6 days of 4 hours each. Download the course programme Intermediate level Maximum number of participants: 25
