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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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Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in San Francisco in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans Apollo Router 2026, les APIs GraphQL fédérées perdent jusqu'à 60% de performances en latence, causant 25% d'abandon utilisateur sur les apps mobiles.
Les entreprises sans routage optimisé gaspillent 40 heures par mois en debugging de queries, avec des coûts d'infrastructure multipliés par 3.
En 2026, 82% des incidents majeurs en prod proviennent de fédérations mal gérées, freinant la croissance et exposant à des pertes clients massives.
Chaque trimestre sans compétences certifiantes creuse l'écart compétitif face aux rivaux adoptant des supergraphs ultra-scalables.
The Formation Apollo Router 2026 - Orchestrer des supergraphs GraphQL scalables 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 Apollo Router 2026 - Orchestrer des supergraphs GraphQL scalables 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 Apollo Router 2026 - Orchestrer des supergraphs GraphQL scalables 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'Apollo Router 2026 via Docker et Helm, configuration du supergraph YAML pour fédérer plusieurs subgraphs, exercices pratiques sur un mesh GraphQL réel avec queries complexes, implémentation de caching automatique et batching pour booster les performances, tests de routage avancé avec persistance PostgreSQL, monitoring intégré via Apollo Studio et Grafana, production d'un livrable déployable en cluster Kubernetes avec plan de scaling, code review personnalisé pour ancrer les compétences professionnelles.
Target audience
Architectes API, développeurs GraphQL et leads techniques pour une montée en compétences sur la fédération en entreprise
Prerequisites
Maîtrise de GraphQL, notions de Docker, Kubernetes et YAML
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