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Alumni Story: Lorenzo trains in Data Engineering to boost his career
PROMO 2025
Lorenzo Delmedico
Read Lorenzo's inspiring testimonial!
What was your background before enrolling on the course?
My name is Lorenzo Del Medico and my background is a bit atypical. I started off with a 3-year degree in business, which gave me a solid grounding in management and business strategy. But as time went by, I realised that what I was really passionate about was technology and data analysis.
That's what prompted me to switch to IT. I went back to school and obtained a bachelor's degree in computer science at Cnam Saint-Denis in 2021. This initial experience in programming and algorithms convinced me that I wanted to go further. So I went on to do a master's degree in Big Data and Artificial Intelligence at ESGI between 2021 and 2023.
At the same time, I had the opportunity to work on a number of corporate projects, notably as a Data Scientist on a sandwich course working on internal research projects, and also at SNCF, where I analysed the pantograph/catenary pairing. These experiences reinforced my conviction that data engineering was the path I wanted to follow.
Why did you choose the School of Data?
Data engineering is a specialism that is still poorly represented in existing training courses. Most bootcamps or schools offer courses focusing on Data Science or Analytics, but very few really emphasise data engineering, an area that is essential for companies that exploit data on a large scale.
That's why I chose the Data Engineer course at Artefact School of Data. I wanted an intensive, hands-on programme led by experts in the field.
In talking with Romain, I also learnt that I was going to be surrounded by professionals who were already experienced in IT, which reinforced my choice. Working with people who already have a good grasp of the technical side of things means you can go further in your exchanges and learn much more quickly.
What elements of the Data Analytics course have had the most impact on your learning?
There were many things I liked about the course, but what really stood out for me was the quality of the teaching staff. They are passionate professionals who have real experience in the field and enjoy passing on their knowledge. This approach makes all the difference: instead of theoretical learning that is disconnected from the real world, you get practical teaching that can be applied immediately.
I also really liked the collaborative aspect of the course. Discussions with the trainers and other participants often went beyond the simple framework of the course. We were able to discuss wider IT issues, talk about emerging technologies, share professional experiences... It was really enriching.
Another strong point is the practical projects. Rather than learning passively, we are put into real-life situations, which helps us develop professional reflexes and get up and running more quickly.
How has this training helped you in your professional development?
Before joining the course, I was looking for a job in data engineering. Despite my skills and qualifications, I couldn't get any interviews. I felt I was missing something, but I couldn't pinpoint exactly what it was.
Thanks to the training, I was able to clarify my shortcomings and structure my approach. I've gained in confidence, deepened my skills in key technologies and, above all, learnt how to position myself better in the job market.
I also realised the importance of practical application: it's not enough to know how to code and understand the concepts, you have to be able to demonstrate your expertise with concrete projects. This approach has helped me to revise my portfolio and make better use of my skills with recruiters.
Today, I feel much more ready to land the job that matches my ambitions.
If you had to describe the School of Data in one word, what would it be?
Dynamic.
This course is a real career accelerator, enabling you to acquire solid skills that can be applied directly in the workplace. The intensity of the programme, the quality of the teaching and the team spirit mean that you leave transformed and ready to take on new challenges.
Discover the success stories of our alumni
Alumni story: Pierre-Alexandre strengthens his expertise in Data Engineering
PROMO 2024
Pierre Alexandre Baril
Read Pierre Alexandre's inspiring testimonial!
What was your background before enrolling on the course?
Hi, my name is Pierre-Alexandre Baril and I'm currently doing a Data Engineer course at Artefact School of Data. Before that, I did a Masters specialising in digital health at EPITA, where I was able to explore the technological issues involved in this fast-changing sector.
I then had the opportunity to do several internships that allowed me to explore different areas of data: Data Analysis, Machine Learning and Cyber Security. These experiences strengthened my understanding of infrastructures and analysis models, but I quickly realised that to go further, it was essential to acquire more advanced skills in Data Engineering.
This field, at the heart of data flow management and optimisation, is a key component of the data ecosystem. I wanted to delve deeper into this technical aspect, so I chose to join the Data Engineer course at Artefact, which offers a highly operational approach in line with market needs.
What did you enjoy during your data engineering training?
What I was looking for in this training was not a long, theoretical academic programme, but practical learning that could be directly applied in a company. That's exactly what I found at Artefact.
One of the aspects that I particularly appreciated was the immediate practical application of the concepts, with concrete projects and the use of the most up-to-date tools on the market. Working with these technologies in real-life conditions enabled me to develop expertise that could be put to good use, and to feel ready to take on technical challenges as soon as the course was over.
The teaching support and learning environment are also strong points. The team is available and always ready to answer questions, which makes it easier to assimilate complex concepts. Today, I'm really satisfied to have followed this programme, which has given me solid technical skills and a more in-depth vision of the Data Engineer profession.
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PROMO 2025
Brigitte Fauvet
Read Brigitte's inspiring testimonial!
What was your background before enrolling on the course?
I'm Brigitte Fauvet, Product Manager specialising in digital innovation. I started out with a PhD in mathematics, specialising in image processing, before working for over 10 years in AI R&D in SS2i, first on image processing, then on search engines. I then moved into Product Management, with another 10 years' experience in start-ups and major groups, where I designed new user experiences for digital services. Today, I chose the Data Product Management course to update my skills, gain a better understanding of the new technologies and challenges of AI, and be able to integrate these developments into my future projects,I acquired Artefact's methodologies for managing data projects, which now gives me a solid foundation and real confidence in my methods.,The course also opened my mind to new perspectives. I discovered that creative agencies are investing in AI and that they have a key role to play in democratising it for the general public. Since Artefact has links with this type of player, I've been able to explore this world, which is of great interest to me for the future. I'd say 'benchmark' because the ecosystem created around Artefact makes it a reference that I'll be following for a long time. But I'd also say 'inspiring', because I met people who are passionate about data and AI, and that gave me a great deal of energy for the future.
Aujourd’hui, j’ai choisi la formation Data Product Management pour mettre à jour mes compétences, mieux comprendre les nouvelles technologies et enjeux de l’IA, et pouvoir intégrer ces évolutions dans mes futurs projets.
Why did you choose the School of Data?
The School of Data is a French benchmark in AI, and that's what attracted me in the first place. It's also one of the few schools to welcome participants directly into a company, which meant I could get as close as possible to the business issues surrounding data and AI.
What did you enjoy during your data analytics training?
I particularly appreciated the quality of the courses and the experience of the trainers. They share their expertise in a very practical way, which is essential when managing data projects. The experiential learning and peer-to-peer sharing were also strong points, because there's so much to learn from feedback from other professionals in the sector.
How has this training helped you in your career development?
J’ai acquis les méthodologies d’Artefact pour piloter des projets data, ce qui me donne aujourd’hui une base solide et une vraie confiance dans mes méthodes.
La formation m’a également ouvert l’esprit sur de nouvelles perspectives. J’ai découvert que des agences créatives investissent dans l’IA et qu’elles ont un rôle clé dans sa démocratisation auprès du grand public. Artefact étant en lien avec ce type d’acteurs, j’ai pu explorer cet univers, ce qui m’intéresse beaucoup pour la suite.
If you had to describe the School of Data in one word, what would it be?
Je dirais "référent" car l’écosystème créé autour d’Artefact en fait une référence que je vais suivre longtemps. Mais aussi "inspirant", car j’ai rencontré des personnes passionnées par la data et l’IA, et cela m’a transmis une belle énergie pour la suite.
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FAQ
Do you have any other questions about Artefact School of Data? We'd love to hear from you.
Are our courses face-to-face and/or distance learning?
We recommend that you come to one of our face-to-face courses to be at the heart of the leader in Data and Artificial Intelligence. However, if you prefer or if you can't do otherwise, our courses can also be taken at a distance or as a hybrid! Everything is designed so that you can follow our courses from our classroom or from home, as you wish. We have made this choice to optimise your learning during the course.
What support is there to help you find a job?
Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in Data. This means that every day, they meet Data Scientists, Analysts, Engineers, Data Consultants and Data Marketing experts who make up their team. professional network and increase their chances of securing a future position with Artefact or with a partner.
In addition, we offer a Career Day to help you find a job. This includes workshops on job hunting, preparing CVs and LinkedIn profiles, as well as advice on technical interviews.
Who are the teachers?
Your tutors are Data Scientists, Analysts or Senior Engineers by trade. This is very important to us because they work at the very heart of one of the leaders specialising in Data and AI: Artefact. This means that the teachers are in daily contact with Artefact customers and are responding to real, current issues in the field. Our training courses are therefore designed around what they experience on a daily basis.
How do I apply for one of our courses?
The registration process is very simple: you apply directly for the course of your choice, explaining your motivations and describing your career path. You can also download the full programme and then make an appointment with us.
Are our training courses Qualiopi certified?
Our training courses are certified "Qualiopi pour l'action de formation".