The AI Maintenance Management program is a blended training course consisting of in-person lessons, live streaming training, practical experiences on a test bench and networking moments.
You will meet industry professionals who will support you step by step during the training, teaching you all the secrets to learn how to strategically manage physical and intangible assets in the company, with a predictive and 100% data driven approach.
Are you ready to transform maintenance into an activity of strategic importance and become its point of reference?
The course is addressed to:
◉ Technical directors
◉ Maintenance manager
And in general to all those professionals who want to expand their training on the topic of data-driven maintenance management and Artificial Intelligence at the service of maintenance activities to help them fill roles of ever greater responsibility and aimed at driving innovation.
The path will help you make a qualitative leap in your career, developing all the skills that are required today, and will increasingly be required in the future, of those who deal with maintenance.
The AI Maintenance Manager has the fundamental skills to optimize maintenance activities in the company with particular attention to Artificial Intelligence, and can guarantee excellent operational performance for his organization.
Not only technical skills, but also experiential training, development of soft skills and team work to fully develop a managerial figure that is increasingly in demand in the company.
By attending the course you will enter the MIPU community, where you will be able to meet with industry professionals and have ongoing support in your growth journey.
At the end of the course all participants will receive a certificate of participation.
An insight into the organization of maintenance and its future prospects. We will also talk about Change Management, to understand how to bring change to the company by engaging people.
Overview of asset management methodologies and tools.
We will talk about maintenance business intelligence until we get to AI-driven maintenance.
Reducing costs with the same reliability: the goal that everyone sets for themselves.
We will see calculation tools and implementation strategies, to design the roadmap for the Predictive Factory.
We will see how to optimize existing maintenance plans and how to design new ones thanks to the workshops and the sharing of project work.
We have studied a formula that allows you to combine work activities with the training course:
Formula weekend
Our training is scheduled on Thursdays and Fridays to give you the opportunity to dedicate the right amount of time to training, without falling behind on work.
Classroom and online training
Alternating online and in-person training gives maximum flexibility, without giving up precious moments of practical exercise and networking.
Thursday 14:00 - 18:00 | Friday 09:00 - 18:00
Thursday 14:00 - 18:00 | Friday 09:00 - 18:00
Thursday 14:00 - 18:00 | Friday 09:00 - 18:00
Thursday 14:00 - 18:00 | Friday 09:00 - 18:00
GOALS
The goal of project work is to directly put into practice what you are learning. You will be guided by our faculty to carry out a reliability assessment to analyze the management, technical and training aspects relating to maintenance, so that you can then define an improvement and optimization plan.
MODE
You will work on project work in a team with other participants in the course. This will allow you to always have a valuable discussion and exchange with other professionals, as well as consolidating your network. At the end of the course you will present the project you worked on to the entire audience of students and the faculty.
48 hours of training – practical project work – experiences – networking
Dedicated to private individuals and those who register independently without the support of their company
Less than a third of the global tech workforce is made up of women. It’s time to change the course.
For young people who want to build a profession in the predictive company.
SALO’ | MILAN | TURIN | VICENZA | GENEVA
VAT number 04172380984| REA BS-594066 | SHARE CAPITAL: € 114.000 | PEC: mipu_phub@legalmail.it
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