Deploy Your AI Models to Production
Why choose us?
Concrete project inovant
Improve/accelerate your career
Interactive platform with AI assistant
Why train in MLOps?
4 reasons to join this MLOps program:
- Move from isolated AI POCs to real production products that are monitored and maintainable.
- Position yourself for highly sought-after hybrid roles (Data Engineer / ML Engineer / MLOps).
- Master essential market tools: MLflow, FastAPI, Docker, Hugging Face, LangChain, Qdrant, Grafana, Evidently…
- Learn from MLOps Tech Leads still in role, on a capstone project deployed end to end.
- Industrialize your AI / ML models
- Hybrid Data Engineer / ML Engineer roles
- Key tools: MLflow, FastAPI, Docker, HF, LangChain…
- Guidance from MLOps Tech Leads still in role
What you will learn
Module 1 – AI Landscape
- ML, deep learning and generative AI
- Lifecycle of an AI project
- Training and inference costs
Module 2 – Mathematics for Engineering
Module 3 – Feature Engineering
Module 4 – Classic ML Models
Module 5 – Deep Learning
Module 6 – MLOps: Tracking
Module 7 – Model Serving
Module 8 – GenAI Engineering
Module 9 – AI Observability
Module 10 – Capstone Project: “The Smart Support API”
Tech Leads still working in the field by your side throughout the programme
Tech Leads still in the field to guide you
They did it!
And it changed their career.
4.9/5
« I would like to thank Aïcha for her support and Romain for the quality of the live Azure sessions. Plus, a great platform for the content! »
Nesrine C
« I recommend it wholeheartedly! I passed the Microsoft Azure AZ-900 certification on the first try. After signing up, I had access to a complete prep course on their platform with videos, labs, and practice exams whose questions were very close to the real exam. I also had live training sessions with an AI PhD expert on Azure. I scored 910/1000. Thanks again to Hatim for his support — the practice exam on the platform is also excellent. »
Maha Saghir
« Great platform with very high-quality content! The instructors are professional experts and are always there to help you. I recommend it if you want to learn data and cloud concepts, and if you want to pass certifications in the most productive way! »
Taha Chachoua
« The Kubernetes training I took helped me better understand container orchestration and deploying applications in a cluster. Thanks to the practical exercises, I gained a solid grasp of Minikube, Kubectl, and concepts such as pods, services, and deployments. Very enriching and applicable to my DevOps projects! »
Nada Bouaouaja
« I found this Docker training for beginners very well built and suited to people with no prior container experience. The instructor's teaching: clear explanations, concrete examples, and a good balance between theory and practice. »
Salam MEJRI
Format & Upcoming session
Duration & pace
- 200h of training
- Part-time: 12h / week - 4 months - 2 live sessions / week
- Intensive: 36h / week - 6 weeks - 3 live sessions / week
Support
- Classes of 15 learners maximum for personalized follow-up
- Learning based on real projects with expert supervision
Flexibility
- 100% online and part-time, accessible from anywhere
- Designed for professional and personal constraints
Recognition
- Certificate issued by DataScientist.fr shareable on LinkedIn
Upcoming session
- Contact us to join the upcoming sessions
- Admission goes through a selective application process
Adapted financing solutions to your project
Adapted financing solutions
- A certified training provider : Qualiopi certification for training activities.
- Various financings : OPCO, AIF, France Travail, regional funding, companies…
- Your financed training : it is very common for our learners to have little or no remaining balance.
- Customized accompaniment : we help you get the financing adapted to your situation :
Ready to transform your ambition into concrete skills ?
In 200 hours, pass from Advanced·e to MLOps operational·le
Join a cohort of professionals determined to change their trajectory, guided by Tech Leads still in the field who know what “shipping” means in real life.