At MIPU Predictive School, we empower business teams and professionals to develop practical expertise in Industry 4.0 and artificial intelligence. Our training programs blend high-level education with real-world insights, ensuring cutting-edge content and results-oriented courses.
We are dedicated to fostering the growth of businesses and professionals for the future industrial landscape. We are building a technological ecosystem with a strong emphasis on Artificial Intelligence, Energy Management and Predictive Maintenance.
Learn how Artificial Intelligence is revolutionizing industrial processes, optimizing efficiency and cutting costs. Get introduced to the latest tools and learn how we successfully brought AI into various industries.
Develop skills in energy management, learn how to decrease energy costs and how to optimize energy production as well as sustainable resource management.
Help your company optimize maintenance processes and decrease costs while boosting efficiency.
We design and implement both standard and tailored training programs. We bring our insights by sharing real-world use cases and experiences, thanks to our work with companies in various industries. We create opportunities to expand your network and facilitate the exchange of valuable experiences between peers.
Develop skills in energy efficiency, sustainable resource management, and carbon footprint
Our instructors are renowned industry leaders, AI specialists, and predictive analytics experts who bring hands-on expertise and the latest research into every session.
A flexible mix of online learning, interactive workshops, and live instructor-led sessions ensures that every learner experiences a dynamic and engaging training process
Earn recognized certifications that validate your skills and open doors to career opportunities
Domain expertise is what makes us different: our faculty is made of professionals with direct experience in the field, able to offer vertical expertise and real case studies.
MIPU Predictive School was born in 2014 to address the growing demand from companies for trainings in predictive maintenance and maintenance engineering.
After years of operating as a department within the MIPU Group, 2022 saw the establishment of MIPU Predictive School as an independent company. Today, we train over 100 professionals annually with a consolidated program covering industrial maintenance, industrial artificial intelligence, and energy management. New formats were introduced, and the faculty expanded.
Recognized as a leader in technical training for top companies, MIPU Predictive School becomes a Bureau Veritas Examination Center for condition monitoring and achieves ISO 9001 EA37 certification, confirming our commitment to innovation alongside high quality.
Today’s context is constantly evolving: we are in the midst of a radical transformation characterized by the application of disruptive new technologies to our production and business management models. And while digitalization makes some activities redundant, it simultaneously increases the value of others. Some jobs evolve, and new ones are created. It is therefore necessary to understand how to develop the right digital skills to lay the foundations for this Revolution and become drivers of change. This is what we work towards, together with our faculty.
The predictive factory today is not only possible, it is also the only viable way for efficient, sustainable and inclusive production. How to lay the foundations for this revolution? It is an important question, to which MIPU has tried to give an answer with this publication in collaboration with Harvard Business Review. Request your copy
NOT SCHEDULED Energy managementmaturity assessment Do you want more information about the course? Contact us Addressed to: Energy Managers, Maintenance and cost optimization managers, Production site managers. Course overview Mipu Energy School offers a course that allows you to learn about the main reference parameters for evaluating company performance through the identification of primary areas […]
NOT SCHEDULED Energy modelsstep by step: practical exercise on an asset of your choice Do you want more information about the course? Contact us Addressed to: Energy Managers, Plant Managers, R&D Managers, Energy Data Scientists and managers who deal with the optimization of energy consumption and maintenance. Course overview Mipu Energy School organizes a course […]
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