This program was developed with the assistance of leading Data experts and will notably enable you to:
Employed at the most innovative companies on the market, they will deliver their best methods to you and share their successes as well as their failures.

Claire Gouze
Head of Data



David Guyon
Director of Engineering



Bettina Hermant
Senior Machine Learning Engineer


Partie 1 - Principes fondamentaux du Cloud Computing
Fundamental Concepts of Cloud Computing
Understanding service models (IaaS, PaaS, SaaS) and deployment types (public, private, hybrid)
Exploring the benefits of elasticity, high availability, and load balancing
Learning about these technologies to create modular and scalable applications
Distributed Storage
Principles for Effectively Managing Large Volumes of Data in the Cloud
Explanation of Architectural Choices to Meet Scalability Needs
[WORKSHOP]
Hands-on Group Workshop
Designing a simple cloud architecture for a fictitious application using an online modeling tool
Partie 2 - Maîtrise des architectures de données
Data Management in the Cloud
Designing efficient pipelines to process large volumes of data
Exploring the benefits of managing unstructured data
Discovering tools and techniques for data streaming
Orchestration
Utilizing tools like Kubernetes to manage and automatically scale containerized applications
Observing the automatic adaptability of the architecture to significant loads
[WORKSHOP]
Hands-on Group Workshop
Designing a simple data pipeline (ETL) using a cloud-native data engineering tool
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Cloud computing & data engineering
4.7
5 out of
658
meetings
Designed and tailored by experts working in the most innovative companies in the market, our Cloud Computing & Data Engineering courses provide you with a comprehensive and practical experience to master IaaS, PaaS, and SaaS architectures and succeed in your technological projects.
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