Data Engineering on AWS
Want to become autonomous in building robust, scalable data architectures on AWS? From Cloud fundamentals to Data Engineering patterns, master the AWS ecosystem through real-world lessons drawn from client projects.
What you'll learn
Master Cloud fundamentals and the AWS ecosystem
Understand Cloud Computing and distributed systems, and navigate AWS managed services (S3, RDS, DynamoDB, EMR, Glue, Kinesis, SageMaker).
Deploy data applications in production
Architect your code for the Cloud, set up Infrastructure as Code (Terraform, CloudFormation), and automate deployments via CI/CD.
Implement Data Engineering patterns
Build batch and real-time pipelines, orchestrate processing jobs, and serve ML models on AWS.
The detailed programme
Eight modules covering the full Data Engineering chain on AWS, from Cloud foundations to production data pipeline patterns.
Cloud & Data Foundations
3h30
The fundamental concepts of Cloud Computing and Big Data, laying the groundwork before diving into the AWS ecosystem.
Objectives
- Understand the types of managed services (IaaS, PaaS, SaaS) and compare Cloud providers
- Master the principles of horizontal scaling and distributed systems
- Distinguish between batch and real-time use cases
What's covered
- Types of managed services (IaaS, PaaS, SaaS) and comparison of Cloud providers
- Horizontal scaling, distributed systems and the MapReduce paradigm
- Batch vs real-time use cases
Your experts
Training investment
1 500,00 €
per participant
9 000,00 €
per session
Fund your training through an OPCO
As a Qualiopi-certified training provider, the courses we offer can be funded through an OPCO (the French vocational-training funding body). Find which OPCO you depend on here.
Let's discuss your project
Personalised quotes, tailor-made formats, OPCO funding options: we answer all your questions.
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