The Industrial Artificial Intelligence Leader program is a blended training course made up of in-person lessons, live streaming training, practical experiences, testimonials and networking moments.
You will meet professionals who will support you step by step during the training course, teaching you how to create value in the company thanks to the potential of Artificial Intelligence.
Are you ready to become the leader of your company’s AI-based digital transformation?
The program Industrial AI Leader:is addressed to:
◉ Technical directors, production managers or plant managers
◉ Process managers, Energy Manager
◉ Innovation Manager, IT Manager
And in general to all those professionals who want to expand their knowledge on the topic of Artificial Intelligence for operations with an educational project focused on the world of industrial production and the management of new enabling technologies.
he training course will help you develop all the skills necessary to effectively manage an interconnected and predictive company. You will not have a simple overview of the potential of Artificial Intelligence: thanks to the highly managerial approach, you will know how to best evaluate and prepare human, technical and material resources to successfully bring enabling technologies into the company.
The path will allow you to hold roles of responsibility linked to the development of digitalisation strategies for production activities, for effective energy management and for maintenance, logistics and quality.
Thanks to training alternating with moments of discussion, sharing of success cases, experience in the field and team work, you will be facilitated in the development of your managerial skills and your professional profile.
By attending the course you will also have exclusive access to the MIPU community, a place where professionals meet to network and discuss topics of interest.
At the end of the course all participants will receive a certificate of participation.
An overview to introduce the concept of AI applied to the industrial world, with a specific focus on existing opportunities in the Maintenance & Energy Management field.
How do you actually manage an Artificial Intelligence project? We will see what the fundamental steps and resources necessary for the success of a project are.
Nothing is educational like getting your hands dirty: we will see real case studies, we will work on concrete applications and we will create our first artificial intelligence models.
Review of project works to understand how to set up the roadmap for your company and a Change Management session to understand how to effectively manage change.
We have studied a formula that allows you to combine work activities with the training course:
Weekend formula
Our training is scheduled on Fridays and a few hours on Saturdays 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.
Friday 9:00 - 18:00
Friday 16:00 - 19:00 | Saturday 09:00 - 12:00
Friday 16:00 - 19:00 | Saturday 09:00 - 12:00
Thursday 15:00 - 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 digital maturity assessment and define possible areas of intervention, identifying a company to analyze for each group.
MODE
You will work on the 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.
32 hours of training – practical project works – 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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