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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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
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Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Discover the best warehouse management and logistics training options scheduled for March 2026, focusing on emerging trends like AI automation, sustainability, and supply chain resilience to boost your career.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans Google Cloud Composer, vos pipelines Airflow manuels génèrent 40% d'échecs en plus, coûtant jusqu'à 25 000€ par incident majeur en pertes de données.
Les data teams perdent 35% de temps sur monitoring et scaling, freinant les insights business critiques.
En 2026, 82% des entreprises Fortune 500 exigent des compétences managées Airflow, écartant les profils non certifiés.
Chaque retard creuse l'écart compétitif, expose à des downtimes coûteux et compromet votre évolution carrière dans le cloud natif.
The Formation Google Cloud Composer - Orchestrer Airflow scalable 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 Google Cloud Composer - Orchestrer Airflow scalable 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 Google Cloud Composer - Orchestrer Airflow scalable 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.
Installation rapide d'un environnement Google Cloud Composer via console GCP, création de DAGs Airflow basiques avec tâches Python et Bash, configuration des variables et connections sécurisées, exercices pratiques sur pipelines ETL simples, test d'exécution en mode debug avec logs en temps réel, production d'un premier workflow livrable prêt pour staging, valorisation immédiate de vos compétences en orchestration professionnelle.
Développement de DAGs complexes avec opérateurs GCP natifs comme BigQuery et Cloud Storage, implémentation de branching conditionnel et retries automatisés, setup de scaling via Kubernetes Executor, intégration alertes Slack et monitoring via Cloud Monitoring, cas concrets d'entreprise sur data pipelines massifs, optimisation des performances avec XComs avancés, finalisation d'un projet fil rouge déployé en production pour démontrer la robustesse Composer.
Target audience
Data engineers, DevOps et architectes cloud pour monter en compétences sur l'orchestration professionnelle
Prerequisites
Maîtrise de Python, bases Google Cloud Platform et notions Apache Airflow
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