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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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Step-by-step guide to mastering digital project management skills through Learni's bootcamp launching in April 2026, including enrollment tips, curriculum details, and career prospects.
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Don't let this gap widen
Sans maîtrise d'AWS SageMaker, les équipes data perdent en moyenne 50% de temps sur l'entraînement de modèles ML, avec des coûts cloud gonflés jusqu'à 3 fois supérieurs via des outils non optimisés.
Les entreprises subissent 40% d'échecs en déploiement ML dus à une mauvaise scalabilité, entraînant des pertes de revenus estimées à 200k€ annuels par projet retardé.
En 2026, 65% des recruteurs écartent les profils sans compétences SageMaker, creusant l'écart concurrentiel.
Chaque trimestre sans formation certifiante expose votre entreprise à des incidents de prédiction et une obsolescence technologique accélérée.
The Formation AWS SageMaker - Entraîner et déployer des modèles ML 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 SageMaker - Entraîner et déployer des modèles ML 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 SageMaker - Entraîner et déployer des modèles ML 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.
Découverte rapide de SageMaker Studio pour créer un environnement de travail collaboratif, configuration d'un notebook Jupyter avec datasets publics comme MNIST ou Iris, entraînement pratique d'un premier modèle de classification via l'algorithme XGBoost intégré, expérimentation d'hyperparamètres automatisés pour booster les performances, déploiement en endpoint serverless avec tests de prédiction en temps réel sur cas d'entreprise concrets, monitoring des coûts et optimisation des instances, production d'un livrable complet : modèle déployé et rapport de performance prêt à intégrer en production.
Target audience
Data analysts, développeurs ML et ingénieurs data souhaitant une montée en compétences sur AWS SageMaker en entreprise
Prerequisites
Bases en Python, notions de machine learning et compte AWS gratuit
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