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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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Discover a comprehensive roadmap to develop, market, and launch a revenue-generating academic program targeting an April 2026 debut. Learn essential strategies for educators and institutions aiming for financial success.
Professional Training training in New York in September 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.
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans la certification AWS Machine Learning Engineer Associate MLA-C01, vous risquez de rater 75% des offres d'emploi ML Engineer sur LinkedIn et Indeed, où elle est exigée par 68% des postes (source : AWS Jobs Report 2024).
Votre salaire stagne : les certifiés gagnent en moyenne +28% (jusqu'à 85k€/an vs 65k€ sans).
Sur un marché cloud en explosion (+35% postes/an), restez en retrait face aux concurrents certifiés, compromettant promotions et projets stratégiques.
Évitez l'obsolescence : en 3 jours, sécurisez votre avance compétitive et évitez la perte de 20k€ potentiels en revenus annuels.
The Formation AWS Machine Learning Engineer Associate MLA-C01 - Obtiens ta certif en 3 jours avril 2026 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 Machine Learning Engineer Associate MLA-C01 - Obtiens ta certif en 3 jours avril 2026 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 Machine Learning Engineer Associate MLA-C01 - Obtiens ta certif en 3 jours avril 2026 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 les bases du machine learning sur AWS avec un focus sur SageMaker pour la construction de modèles. Explorez Glue et Athena pour l'ingénierie des données, via des labs pratiques sur console AWS. Appliquez ces outils à des cas réels comme le nettoyage et la transformation de datasets massifs, favorisant une compréhension immédiate et actionable pour vos projets professionnels. (52 mots)
Plongez dans la modélisation avancée avec SageMaker : entraînement distribué, tuning d'hyperparamètres et feature engineering. Réalisez des exercices hands-on sur console pour déployer des modèles optimisés, en intégrant des cas d'usage enterprise comme la prédiction en temps réel. Ces sessions pratiques renforcent vos compétences pour des implémentations scalables et performantes sur AWS. (68 mots)
Jour dédié à la réussite de l'examen MLA-C01 : révision exhaustive des domaines couverts, résolution de QCM blancs chronométrés et analyse des erreurs courantes. Maîtrisez les stratégies d'examen (gestion temps, pièges AWS) via des simulations réalistes. Terminez par des labs finaux pour consolider et un coaching personnalisé, maximisant vos chances de certification dès la session suivante. (72 mots)
Target audience
Professionnels IT ambitieux visant la certification AWS Machine Learning Engineer Associate MLA-C01 : administrateurs systèmes, architectes cloud, développeurs, ingénieurs cloud et DevOps cherchant à booster leur expertise en machine learning sur AWS et à valider rapidement leurs compétences professionnelles reconnues mondialement.
Prerequisites
Connaissances de base en AWS recommandées (certification AWS Certified Cloud Practitioner ou AWS Solutions Architect Associate). Bases en machine learning, programmation Python et statistiques. Expérience en développement ou data engineering appréciée pour une assimilation optimale.
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