Master Spark, Kafka, Kubernetes, and multi-cloud architectures to build scalable data pipelines. 1-year Master program, work-study available.
Duration
1 year (Sept. 2026 - July 2027)
Format
Work-study available — 3 weeks company / 1 week school
RNCP
Level 7 (Master) — State recognized
Price
8,500 euro/year (0 euro with work-study — OPCO)
Campuses
Paris, Lyon, Bordeaux, Toulouse, Brussels
Prerequisites
Bac+4 or equivalent M1 degree
THE REALITY
Brilliant models never reach production because the infrastructure is not solid enough. Without reliable pipelines, orchestration and monitoring, data projects stay stuck in isolated notebooks.
Building and operating data platforms (Spark, Kafka, cloud, Kubernetes) requires a strong technical foundation. Companies actively look for these profiles to industrialize their AI use cases.
AWS, GCP, Azure: data architectures are massively migrating to the cloud. Profiles who master Spark, Kafka, and Kubernetes in cloud environments are among the most sought after in the market.
A 1-year intensive program combining distributed systems, cloud architecture and production-grade pipeline engineering. Hands-on projects on real datasets, hackathons, and work-study from the start.
100% Data Engineering
Specialized from day 1
Projects on real data
Open data & cloud deployments
RNCP Level 7
State-recognized diploma
0 euro with work-study
Funded by OPCO
DETAILED CURRICULUM
Total: 480h of expert training
REAL PROJECTS
Real datasets (open data, Kaggle, open-source contributions), fixed deadlines, jury defense. Plus AI hackathons, Kaggle challenges and internal AI2 competitions to sharpen your engineering muscle.
Build a real-time data pipeline that ingests, transforms, and stores e-commerce data streams with Kafka, Spark Streaming, and Delta Lake.
Design and deploy a data lake on AWS S3 with Glue, Athena, and Lake Formation to centralize structured and unstructured data.
Develop a streaming analytics application for real-time anomaly detection on financial transactions.
Plan and execute the migration of an on-premise data warehouse to BigQuery with zero downtime and data quality validation.
Implement a data quality control framework with Great Expectations, dbt tests, and Slack alerting integrated into an Airflow pipeline.
48h AI hackathons in teams, Kaggle challenges across cohorts and internal AI2 competitions. Demo days in front of instructors and invited recruiters.
3 weeks company / 1 week campus rhythm across the whole M2. Tuition 100% funded by the company via OPCO, monthly salary as an apprentice.
End-to-end design and deployment of a multi-service data platform on a real cloud cluster. Defense before an academic and industry jury.
TOOLING INCLUDED
You do not pay these licenses separately -- access is included. You collect certifications and badges throughout the year.
Thousands of guided courses and projects in Python, R, SQL, ML, generative AI. Recognized professional certifications.
IBM AI, cloud, and cybersecurity tracks with verifiable digital badges on Credly.
Datasets, notebooks and worldwide ML competitions. Your ranks and medals feed your portfolio.
Hub of pre-trained models (LLMs, vision, audio). Deploy your own public Spaces.
GitHub Pro, Copilot, JetBrains, DigitalOcean and ~100 pro tools unlocked with your student email.
Notebooks with free GPU/TPU to train your models. Google Cloud credits for advanced projects.
Brands mentioned for information. AI2 provides access to the listed platforms; certifications remain the property of the respective vendors.
TECH STACK
The same tools production data teams use, not classroom toys.
Languages
Python, SQL, Bash, Scala
Data / ML
pandas, NumPy, scikit-learn, dbt
Deep Learning
PyTorch, TensorFlow, ONNX
Generative AI
Hugging Face, LangChain, vector DBs
MLOps
MLflow, BentoML, Seldon, Weights & Biases
Cloud
AWS, GCP, Azure, Terraform
Data Eng.
Spark, Kafka, Airflow, Delta Lake
Containers / CI
Docker, Kubernetes, Helm, GitHub Actions
12 SKILLS MASTERED
Indicative maturity level at the end of the programme based on our curriculum's learning outcomes.
Career Opportunities
Design and maintain the company data infrastructure and pipelines.
Deploy and manage cloud architectures for data and AI applications.
Industrialize the deployment and monitoring of machine learning models.
Build and maintain the internal data platform for data and AI teams.
Salary benchmarks: check the APEC and French Digital Jobs Observatory (Numeum) reports for up-to-date figures.
FUNDING
Work-study lets most students pay nothing while earning a monthly salary.
Training 100% funded by the company via OPCO. Monthly salary as an apprentice depending on age and company. This is the funding route chosen by most of our students.
Use your CPF balance to fund all or part of the program. Simplified process, our team guides you through the procedures.
Job seekers: fund your career change through the AIF (Individual Training Aid). Eligible under conditions.
Pay in 3, 6, or 10 interest-free installments. First payment at enrollment. No credit agency, direct payment to the school.
Banking partnerships for student loans at preferential rates. Deferred repayment possible up to 2 years after graduation.
4 Simple Steps
Rolling admissions. Free application. Response within 48h after interview.
Fill out the form in 5 minutes with your CV and cover letter.
Online assessment of your programming, SQL, and logic fundamentals.
30-minute call with a team member to validate your career plan.
Response within 48h. Support to find your work-study placement.
FAQ
Apply Now
Fill out the form and we will contact you within 24h.
Join the next cohort and build the data infrastructure of tomorrow.
Small cohorts, individual mentoring·September 2026 intake