Engineering Camp · Data Science & Artificial Intelligence
From raw data to deployed artificial intelligence models.
Prerequisites: No technical background required.
Next intake · January 2027
- 6 months
- 100 hours
- Live
Program objective
- Put data to work: analysis, machine learning, deep learning, visualization and generative AI.
The 6 modules
Introduction to Data Science and AI
Module 1
- Input · what you learn
- Python; working environment; data manipulation.
- Output · what you produce
- A first analysis notebook.
- Hands-on workshop
- Cleaning a real-world dataset
Statistics & mathematics
Module 2
- Input · what you learn
- Descriptive statistics; probability; applied linear algebra.
- Output · what you produce
- A statistical study of a dataset.
- Hands-on workshop
- Hypothesis testing
Machine learning
Module 3
- Input · what you learn
- Regression, classification, clustering; model evaluation; scikit-learn.
- Output · what you produce
- An evaluated predictive model.
- Hands-on workshop
- Modeling competition
Deep learning & NLP
Module 4
- Input · what you learn
- Neural networks; computer vision; natural language processing.
- Output · what you produce
- A text or image classifier.
- Hands-on workshop
- Training a neural network
Data visualization
Module 5
- Input · what you learn
- Dashboards; visualization; data storytelling.
- Output · what you produce
- An interactive dashboard.
- Hands-on workshop
- Presenting to a business audience
Generative AI & model deployment (MLOps)
Module 6
- Input · what you learn
- Large language models; prompt engineering; RAG; APIs; model deployment and monitoring.
- Output · what you produce
- A deployed generative AI application.
- Hands-on workshop
- Building an AI assistant
Final project
An online generative AI application, built on a real-world case.
Career outcomes
- Junior data scientist
- Data analyst
- Junior machine learning engineer
- AI consultant
- Generative AI developer
Among the program’s professors
Hichem Snoussi
Data & AIEmerging Data Science Technologies
View profile
Asma Amehraye Fillatre
Data & AIDeep Learning for NLP
View profile
Mérouane Debbah
Networks & telecomsIntelligent Networks for 6G
View profile
Speakers may vary from one cohort to the next.
Certification
Certification
One certificate per validated module + the final Engineering Camp certificate, verifiable by QR code and shareable on LinkedIn.
Frequently asked questions
Do I need a technical background?
Not for Data Science & AI or Fullstack. Basic IT and networking knowledge is recommended for Cybersecurity and Cloud & DevOps.
Can I take a camp while working?
Yes. Classes are held live in the evening and at the weekend, and they are recorded.
What will I produce?
A deliverable in every module and a professional final project to showcase in your portfolio.
How much does a camp cost?
The fee and payment terms are presented to you during a conversation with an advisor.
When does the next intake start?
In January 2027, for all four camps.