Advanced training
to lead industry 4.0
A certified advanced training program designed for managers, technicians, and professionals who want to tackle industrial transformation with vision, concrete tools, and ready-to-use skills.
CIM Academy Trainers
Key features
The first course designed to train professionals and companies that want to use AM as a strategic lever for innovation.
VII edition - ongoing
End
Mode
Training
Language
Attendance
Program adaptability
Built based on company needs, online lessons, and compatibility with work activities
Project work on a real case
Central and highly valuable experience
Cross-disciplinary training
Cross-disciplinary and multidisciplinary skills
Federmanager Call
Participate in the call for 4 scholarships in collaboration with Federmanager Turin
Program of the pathway
The Academy is ideal for professionals and corporate teams who already have an introductory knowledge of Additive Manufacturing and wish to acquire advanced skills applicable in real production contexts.
160 hours | 6 modules | Online and in-person visits
Welcome&Assessment
Introduction to training, presentation of pedagogical methods, and collective meeting with tutors.
Self-assessment: a useful questionnaire to map your technical and managerial skills to start from a solid and measurable base.
Individual assessment: an individual interview to understand who you are, where you operate, and what you need to grow. The program adapts to you, not the other way around.
Multidisciplinary and circular approach
A cross-disciplinary approach for impactful vision and understanding complex systems. International professionals guide you through an in-depth exploration of transition design, system thinking, human-centered design, future scenarios, and much more to develop a comprehensive innovation-oriented vision.
Data science
The module guides participants into the heart of digital transformation: data analysis. The courses within provide a solid foundation to navigate the world of data and contribute to the development of intelligent and sustainable solutions for industry 4.0. We will discuss data management, artificial intelligence, IoT, cloud, blockchain, network science, and much more.
Advanced automation
An in-depth look at the fundamentals of industrial automation in a digital context, the evolution of automatic systems towards intelligent and flexible solutions. From collaborative robotics to vision sensors, you will acquire skills to design and manage automated processes capable of integrating into interconnected production environments.
Additive Manufacturing
An overview of additive manufacturing technologies, from processes and materials to post-processing, with a focus on the impact of these solutions along the industrial value chain. Through concrete cases in the automotive and aerospace sectors, advanced integrated design logics and integration with existing processes will be explored. The program includes specialist contributions on materials with attention to sustainability aspects and the evaluation of the environmental impact of additive technologies.
X-reality and Digital Twin
The module explores the potential of AR and VR technologies and digital twins to optimize processes, products, and industrial environments. From simulation to virtual and augmented reality, to the use of digital twins for design, production, and lifecycle management. Ample space is dedicated to the topics of using dedicated mobile networks, Edge Cloud, 5G platforms, and the role of quantum technologies for the development of new services. The module is completed with a laboratory activity in the Digital Factory pilot line.
Methodology for optimizing production processes
The module provides a comprehensive view of World Class Manufacturing, addressing the technical and managerial pillars underlying continuous improvement strategies. Through innovative techniques such as motion capture for ergonomics and integration with AI, XR, and machine learning technologies, you will discover how WCM practices evolve towards more efficient and sustainable models. The program includes a focus on sustainability, carbon neutrality, and real case studies to build operational roadmaps in industrial contexts.
Predictive Maintenance
Solid introduction to predictive maintenance techniques, and in-depth exploration of the main diagnostic methodologies and lifecycle management of plants and machinery with practical examples. By comparing different methodologies in various industrial sectors, you will acquire tools to anticipate failures and non-conformities, improving process reliability. Ample space is dedicated to the impact of AI on predictive maintenance and the role of sustainability in management models.
Cybersecurity
This module addresses cybersecurity topics starting from fundamental principles and best practices by analyzing emerging trends and the evolution of corporate culture. You will delve into cases of Industrial Security related to the automotive sector, Governance, Risk, and Compliance (GRC) topics, including the application of GDPR regulations and ISO standards. During the course, you will participate in a realistic simulation of a cyber incident in a company to analyze its process, tools, and crisis management to identify a standard procedure. Final focus on blockchain as an enabling technology for cybersecurity in the IoT world.
Operation Management
Learn to manage the operational complexity of digital transition with Agile, Scrum, and DesignOps methodologies with a focus on tools, practical cases, and impact on business processes. Monitor the effects of change and balance costs. A part of the module is also dedicated to how to use AI Agents to optimize decision-making and operational management. Discover tools, logics, and approaches on Industry 4.0 principles to improve processes and results concretely.
Value creation
By participating in this module, you will know how to design effective and sustainable business models, evaluate their value and ROI, and apply servitization logics. Through exercises, you will delve into the themes of the circular economy, digital platform management, and business data science. A path to transform innovation into measurable value.
Opportunity exploration
Through experiential activities, you will train your soft skills. Emotional intelligence and leadership to recognize opportunities, workshops on design thinking, and evolved organizational models. A laboratory to enhance human potential and best manage “us” in business situations.
Regulations to enhance digital transition
A fundamental path to consciously manage the rights and opportunities related to digital transformation. You will know how to navigate the regulatory implications on patents and intellectual property in the GenAI era, and understand how to protect technological innovation from a circular economy perspective.
Project work
A real project, in a real context.
Each group of participants works on a concrete challenge proposed by a company, guided by a corporate mentor, with the aim of developing solutions by applying the skills learned during the program.
Final Assessments
Not an end, but a new beginning.
An individual assessment helps you contextualize what you have learned and bring a real impact to your work context.
Integrative opportunity
In collaboration with Federmanager Turin, Federmanager Academy, and BeManager, we offer an integrative growth opportunity to enhance your professional profile and stand out in the job market.
CIM Academy
Participate and complete CIM Academy
Supplementary module
Supplementary “Innovation” module by Federmanager Academy (online)
Certification
“Innovation Manager” Certification BeManager RINA/Federmanager
Digital Factory
CIM's Digital Factory is where the digital transformation of the industry becomes concrete and measurable.
Automation, virtualization, and data work in synergy to make processes more efficient, precise, and intelligent.
We support companies at every stage of the journey: from strategic analysis to defining KPIs, up to the operational implementation of solutions. Our pilot line is a prototyping space where real technologies are tested, measured, and evolved, turning digitalization into an immediate competitive advantage.
Tutor
A dedicated guide accompanies each participant throughout the Academy, providing constant support in training activities, clarifying content when necessary, and monitoring progress to ensure the achievement of objectives. A discreet yet essential presence that makes the training experience smoother, personalized, and high-level.
The trainers
Over 20 experts from the Polytechnic, CIM, and leading AM companies.
University professors, Competence Center experts, researchers, technologists, and managers from various industrial sectors: from automotive to aerospace, bring operational experiences and best practices gained in the field into the classroom.
A multidisciplinary faculty for a comprehensive and applied vision of Additive Manufacturing.
Giulia Marchisio
Giulia Marcocchia
Victor Coral Franco
Adelina Brizio
Agata Marta Soccini
Claudio Schifanella
Fabrizio Pio Baldini
Enrico Cravero
Joseph Giacomin
Tania Cerquitelli
Matteo Milaneschi
Pedro Medina
Pier Giorgio Lanza
Enrico Buracchini
Sara Vinco
Giorgio Beato
Luca Iuliano
Paolo Brizzi
Diploma awarded in collaboration with the Master School and Continuing Education of the Polytechnic University of Turin.
