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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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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.
Artificial Intelligence training in Raleigh in June 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.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise du déploiement sur Azure Machine Learning, 70% des modèles IA restent inutilisables, gaspillant des mois de R&D et jusqu'à 500k€ par projet en coûts inutiles.
Les entreprises sans MLOps voient leurs incidents de prod multipliés par 5, avec des pertes de revenus e-commerce de 25% dues à des prédictions défaillantes.
En 2026, 82% des recruteurs en IA exigent des compétences en déploiement cloud, écartant les profils non opérationnels.
Chaque trimestre sans compétences avancées expose votre entreprise à des concurrents qui scalent 3x plus vite leurs solutions IA.
The Formation Azure Machine Learning - Déployer des modèles IA en production 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 Azure Machine Learning - Déployer des modèles IA en production 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 Azure Machine Learning - Déployer des modèles IA en production 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.
Plongez dans Azure ML Studio pour créer et automatiser des pipelines d'entraînement et de déploiement end-to-end, en utilisant des datasets réels d'entreprise, configurez des compute clusters scalables avec GPU/CPU, implémentez des modèles via des endpoints REST sécurisés par Azure AD et Key Vault, testez en conditions réelles avec A/B testing, déployez un projet fil rouge complet incluant monitoring avec Application Insights et retraining automatique, produisez des rapports de performance et plans d'optimisation pour une mise en prod immédiate.
Target audience
Data scientists, ingénieurs ML et architectes cloud pour une montée en compétences en déploiement IA professionnel
Prerequisites
Expérience en Machine Learning, Python avancé et bases d'Azure
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