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Alumni Story: Anne strengthens her Data Engineering skills
PROMO 2025
Anne Baril
Read Anne's inspiring story!
What was your background before joining the Data Engineer course?
Before joining the course, I was a generalist engineer specialising in data science and artificial intelligence. After my studies, I worked for two years as a Data Scientist, where I had the opportunity to implement machine learning models on a variety of projects.
What motivated you to train in data engineering?
Working as a Data Scientist, I quickly felt the need to broaden my skills beyond simply developing models. I realised the importance of mastering the entire data processing chain, from collection to industrialisation. Training in data engineering I therefore felt it was essential to acquire this more global vision and to be able to build solutions that can be deployed at scale and used in production.
Why did you choose the School of Data?
I chose the School of Data because it's a very project-oriented course, offering a balance between theory and practice. The environment is demanding and stimulating, and allows you to apply the skills you've learned directly through a number of technical challenges. What's more, the face-to-face format was a real asset: it encourages exchanges, mutual support and the creation of a real spirit of promotion among the learners.
Which technical aspects of the course challenged you the most... and which ones fascinated you the most?
What challenged me the most was getting out of my comfort zone by discovering the world of cloud computing and the tools involved in deploying models.
What fascinated me most was learning how to use tools like MLflow to monitor machine learning experiments. This type of tool is crucial for industrialising models, and it gave me a whole new perspective on the work of the data scientist and its integration with data engineering practices.
How did you manage to make the link between the Data Engineer job and your previous experience?
My initial training in data science enabled me to understand the importance of designing robust models. Thanks to the Data Engineer course, I learned to go beyond experimentation to ensure the industrialisation of solutions: data flow management, cloud architecture, model versioning, etc.
Today, I'm better able to anticipate the technical constraints of a data project right from the design stage, which is a valuable skill in multidisciplinary teams.
What tools have you discovered?
I discovered a number of essential data engineering tools:
-Google Cloud Platform (GCP) for cloud infrastructure management,
-Google Cloud Storage for data storage,
-Cloud Run for application deployment,
-MLflow to ensure the monitoring, versioning and reproducibility of machine learning experiments.
If you had to sum up your experience at the School of Data in just one word, what would it be?
Dense. The training is intense, rich in learning, and offers the opportunity to handle a wide variety of tools and technologies. It's a highly formative experience that enables you to rapidly develop your skills and prepare effectively for the realities of the field.
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Do you have any other questions about Artefact School of Data? We'd love to hear from you.
What is the difference between Artefact School of Data and other courses?
World-renowned learning and a unique educational experience. More than 5,000 students around the world have been trained by our experts atArtefact. You will benefit from immersion training with one of the world leaders in Data & AI, who will share their expertise with you. Every day, you'll learn from real-life cases you've worked on with some of the world's biggest companies.
How do I apply for our courses?
The registration process is very simple: you apply directly for the course of your choice, explaining your motivation and describing your career path. You can also download our full programme and make an appointment with our team.
How can I finance my training?
There are a number of funding solutions available to you: personal funding (in one or more instalments), use of your Personal Training Account (CPF), assistance from Pôle emploi, funding via your company's OPCO if you are in post, Professional Transition Project (PTP), Agefiph, etc. As each professional project and each funding application is unique, we offer you a personalised meeting to answer all your questions and help you through the process. You can also watch a video showing all the financing options available.
Are the courses face-to-face or distance learning?
We recommend taking the course face-to-face, in order to take full advantage of the learning environment within a leading player in Data and Artificial Intelligence, and to benefit from direct exchanges with the trainers and other participants.
However, for greater flexibility, our courses can also be taken at a distance or in a hybrid format. Every effort is made to ensure that you can participate in the best possible conditions, either from our classroom or from home, depending on your preference. This flexible format has been designed to optimise your learning throughout the course.
Who are the speakers at Artefact School of Data?
The lecturers at Artefact School of Data are senior Data Scientists, Data Analysts and Data Engineers. They all work forArtefactone of the world leaders in data. Thanks to their day-to-day work with Artefact's customers, they are confronted with the real and current issues faced by companies. This proximity to the field means that we can offer training that is rooted in the reality of data projects, built on their experience and the challenges they face every day.
Are our training courses Qualiopi certified?
Our training courses are certified "Qualiopi pour l'action de formation".
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 the data industry. This means that every day, they meet Data Scientists, Data Analysts, Data Engineers and Data Marketing experts, who make up their team. professional network and increase their chances of securing a future position with Artefact or from one of our partners.