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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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Don't let this gap widen
Sans AWS CodePipeline, les équipes DevOps perdent 50% de temps sur déploiements manuels, multipliant les erreurs par 3 et causant 25% de downtimes imprévus.
Les entreprises sans CI/CD automatisé voient leurs coûts cloud exploser de 40% en raison de ressources sous-utilisées et retards de mise en production.
En 2026, 82% des incidents de sécurité cloud proviennent de pipelines non sécurisés, menaçant revenus et conformité RGPD.
Chaque trimestre sans compétences expert creuse l'écart concurrentiel, avec des livraisons 4x plus lentes.
The Formation AWS CodePipeline - Automatiser CI/CD de bout en bout 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 CI/CD de bout en bout 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 CI/CD de bout en bout 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.
Créez votre premier pipeline AWS CodePipeline professionnel, configurez sources depuis CodeCommit ou GitHub pour déclencheurs automatisés, intégrez CodeBuild pour compilations et tests unitaires rapides, déployez vers EC2 ou ECS via CodeDeploy, réalisez exercices pratiques sur applications web réelles d'entreprise, produisez livrables testés et documentés pour validation immédiate.
Approfondissez les workflows complexes avec états parallèles et sériels dans AWS CodePipeline, implémentez approbations manuelles et notifications SNS pour équipes DevOps, appliquez stratégies GitFlow avec branching automatisé, testez déploiements blue-green et canary sur clusters ECS ou EKS, simulez cas concrets d'entreprise avec rollbacks sécurisés, générez rapports de performance pour optimisation continue.
Optimisez vos pipelines AWS CodePipeline pour haute disponibilité et scalabilité, intégrez monitoring CloudWatch et traçabilité X-Ray pour debugging avancé, renforcez sécurité via IAM roles least-privilege et scans GuardDuty, analysez coûts avec AWS Cost Explorer pour économies jusqu'à 30%, déployez en production serverless Lambda ou conteneurs Fargate, finalisez avec audit complet et plan de maintenance certifiant.
Target audience
Ingénieurs DevOps, architectes cloud, développeurs seniors pour montée en compétences CI/CD en entreprise
Prerequisites
Maîtrise AWS (IAM, VPC, EC2, ECS, Lambda), expérience CI/CD (Jenkins, GitLab), scripting Bash/Python, Git avancé
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