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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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30 free minutes with a training advisor — no commitment.
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Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise d'AWS CodePipeline, 70% des pipelines data échouent en production selon Gartner, causant retards de 4 semaines sur déploiements critiques et surcoûts de 35% en ressources cloud inutilisées.
Les data engineers perdent en compétitivité face aux équipes scalables, risquant stagnation carrière dans un marché DevOps en croissance de 25% annuelle.
Les entreprises subissent fuites de revenus de 500k€/an par pipeline défaillant sur ETL massifs.
Investissez dès maintenant pour sécuriser vos flux data et booster ROI.
The Formation AWS CodePipeline - Automatiser pipelines CI/CD avancés training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Formation AWS CodePipeline - Automatiser pipelines CI/CD avancés training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Formation AWS CodePipeline - Automatiser pipelines CI/CD avancés training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Découvrez l'architecture experte d'AWS CodePipeline via labs pratiques sur configurations multi-stages, intégrez sources GitHub/Bitbucket avec triggers automatisés, configurez CodeBuild pour builds parallèles incluant ETL Spark, testez intégrations S3/Lambda pour data pipelines, produisez des diagrammes livrables et debuggez échecs réels, tout en alternant théorie, exercices hands-on et cas d'entreprise concrets pour une maîtrise immédiate en distanciel.
Plongez dans déploiements blue-green via CodeDeploy sur ECS/Fargate, implémentez sécurisation IAM/KMS avec approbations manuelles, optimisez coûts et scaling auto pour pipelines Kafka/Airflow, monitorez via CloudWatch/X-Ray avec alertes custom, résolvez bottlenecks sur datasets massifs, générez rapports performances et plans de rollback, appliquez à scénarios data engineering réels pour livrables production-ready, renforçant compétences professionnelles certifiantes.
Target audience
Data Engineers seniors, DevOps Architects, Ingénieurs CI/CD en entreprise pour une montée en compétences sur les pipelines cloud automatisés
Prerequisites
Maîtrise avancée d'AWS (EC2, Lambda, ECS/ECR), pipelines CI/CD (Jenkins/GitLab), scripting Python/Bash, ETL basique
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