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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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Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Sep 1, 20268 min readNew York
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Sans maîtrise de FastAI, vos projets de machine learning s'enlisent dans des itérations interminables et des prototypes inefficaces.
Les équipes perdent en moyenne 40 % de temps de développement, soit 4 à 6 mois de retard par projet et des surcoûts avoisinant 75 000 €.
70 % des modèles échouent en production faute de déploiement robuste, exposant l'entreprise à des pertes de revenus et à une érosion de sa compétitivité.
Chaque mois sans ces compétences accélère la stagnation professionnelle et laisse vos concurrents vous devancer.
The Maîtriser FastAI : De l’Initiation au Déploiement en Machine Learning 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 Maîtriser FastAI : De l’Initiation au Déploiement en Machine Learning 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 Maîtriser FastAI : De l’Initiation au Déploiement en Machine Learning 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.
Présentation de FastAI et de son écosystème, installation, découverte des notebooks, exploration du DataBlock API, premiers modèles de classification image et introduction au cycle entraînement/validation. Manipulation de jeux de données standards (MNIST, CIFAR-10).
Gestion avancée des datasets, data augmentation, techniques de régularisation, mise en place de fine-tuning avec des modèles pré-entraînés. Analyse des performances, métriques, courbes d’apprentissage et interprétation des résultats avec FastAI.
Application de FastAI au traitement du langage naturel (textes, classification). Automatisation des workflows, sauvegarde et export de modèles, introduction au déploiement sur API (Flask/FastAPI). Conseils pour l’industrialisation, tests, documentation et maintenance.
8 participants max.
$3,630 / per person
3 journées
distancielTarget audience
Développeurs, data scientists, ingénieurs et analystes souhaitant accélérer leurs projets de machine learning avec FastAI
Prerequisites
Connaissances de base en Python, fondamentaux du machine learning (pandas, numpy recommandés)
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€2,100.0014 hours
in-person10 pers. max.intermediate€3,150.0021 hoursremote10 pers. max.beginner€4,200.0028 hoursin-person10 pers. max.initiation€3,150.0021 hoursin-person10 pers. max.
