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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 Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan Busi
Oct 1, 20268 min readMemphis
Artificial Intelligence training in Raleigh in June 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJun 1, 20268 min readRaleighCybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiNov 1, 20268 min readSheffieldProfessional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Allan BusiJul 1, 20268 min readDallasDon't let this gap widen
Sans maîtrise d'un Feature Store comme Feast, les data teams dupliquent 40% de leur temps sur des features mal gérées, entraînant des modèles ML dégradés de 25% en précision.
Les entreprises perdent en moyenne 2 millions d'euros par an en retards de production dus à des features obsolètes.
En 2026, 68% des projets ML échouent par manque de gouvernance features, menaçant la compétitivité et les promotions des ingénieurs.
Chaque trimestre sans ces compétences creuse l'écart avec les leaders MLOps qui déploient 3x plus vite.
The Formation Feature Store Feast - Maîtriser les features ML 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 Feature Store Feast - Maîtriser les features ML 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 Feature Store Feast - Maîtriser les features ML 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.
Installation rapide de Feast en local via pip et Docker, création de votre premier projet Feature Store professionnel, définition de features simples à partir de datasets réels, exploration de la registry Feast pour versionner et découvrir les features, exercices pratiques sur l'extraction batch de features pour un cas d'entreprise e-commerce, validation des configurations avec tests unitaires intégrés, obtention d'un livrable : repository Feast prêt pour l'équipe data.
Construction de pipelines end-to-end pour ingérer des features en temps réel via Kafka et Redis, connexion à des sources de données variées comme BigQuery ou S3, implémentation du serving Feast pour modèles ML en production, cas concret sur la prédiction client avec features fraîches, optimisation des performances pour scaler en entreprise, exercices collaboratifs en binôme sur un projet fil rouge, production d'un dashboard de monitoring features et plan de déploiement cloud.
10 participants max.
$1,925 / per person
14 heures
distancielTarget audience
Data engineers, data scientists, ML engineers souhaitant une montée en compétences en MLOps
Prerequisites
Bases en Python, SQL et notions de machine learning
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€3,150.0021 hours
in-person10 pers. max.Expert€5,250.0035 hoursremote10 pers. max.intermediate€2,100.0014 hoursin-person10 pers. max.advanced€1,225.007 hoursremote10 pers. max.
