Students will learn how to create apps, data visualisation tables and automated workflows without writing a single line of code through the Microsoft Power Platform, which makes it possible to easily imagine and create AI-driven functionalities. SKEMA students doing a Master of Science (MSc) will be provided access to this suite of low or no-code tools and trained in their use.
At the start of the academic year in September 2019, two Master of Science programmes were chosen as pilots and Power Platform was rolled out to the students under the leadership of Amine Ezzerouali, professor and director of the MSc International Human Resources and Performance Management:
– The MSc Artificial Intelligence for Business Transformation
, a double degree run jointly by SKEMA and ESIEA (digital engineers), trains managers capable of understanding and developing AI. Using Power Platform, the students worked on practical exercises during which they created and tested artificial intelligence models before integrating them into applications.
“It takes three to six months to train yourself properly, master the tools, identify the opportunities they offer, learn to combine them with Excel or other solutions, and pack all of that into a teaching module. Particularly, as this is a recent solution and we are among the first to roll it out in such a structured way” explained Christophe Dispas, director of MSc programmes at SKEMA.
The training generally takes the form of a module comprising 18 hours of tuition, allowing students to familiarise themselves with low-code development, study examples of business uses, and get training in Power Platform and its different components. They also learn application design and change management.
With this course, students will design projects to improve productivity in their chosen field before presenting them to a jury of teachers and companies.
“Today, in a world where artificial intelligence is ubiquitous, our students owe it to themselves to gain a sound knowledge of data and artificial intelligence and turn them into productivity-enhancing tools to bring real added value to companies,” concluded Christophe Dispas.