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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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Don't let this gap widen
Sans maîtrise du déploiement et de la gestion des workflows MLOps sur Kubernetes, 85 % des modèles machine learning échouent à passer en production, gaspillant des mois de R&D coûteux.
Chaque incident de déploiement mal géré engendre des pertes moyennes de 45 000 € en downtime et ressources inutilisées, avec un temps de résolution multiplié par 3.
Les entreprises sans cette expertise subissent 70 % d'échecs projet, exposant data scientists et ingénieurs à des retards carrière et à la perte de parts de marché face à des concurrents agiles.
Chaque mois sans compétences MLOps représente un risque business cumulatif de 100 000 €.
The Maîtriser le Déploiement et la Gestion des Workflows MLOps avec Kubeflow 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 le Déploiement et la Gestion des Workflows MLOps avec Kubeflow 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 le Déploiement et la Gestion des Workflows MLOps avec Kubeflow 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.
Introduction à Kubeflow dans l’écosystème Kubernetes, présentation des composants (Pipelines, Katib, Fairing, KFServing, Argo), installation pas à pas de Kubeflow sur un cluster Kubernetes (GCP, Minikube ou on-premise), gestion des utilisateurs et sécurité, découverte de l’interface graphique et configuration initiale.
Définition d’un pipeline MLgique, prise en main de Kubeflow Pipelines, conception de pipelines en Python, gestion des dépendances (Data Preparation, Training, Validation, Déploiement), intégration avec des notebooks Jupyter, monitorat de l’exécution, gestion des artefacts et versioning, introduction à Argo Workflows dans Kubeflow.
Déploiement de modèles avec KFServing, gestion des endpoints de prédiction, notions de scaling automatique avec Kubernetes et la gestion des ressources, monitorat de l’activité et des performances, testing et CI/CD pour les workflows ML (exemple GitOps avec ArgoCD), gestion de l’A/B testing, introduction à l’optimisation d’hyperparamètres (Katib), bonnes pratiques de sécurité et de gouvernance.
Target audience
Ingénieurs et data scientists souhaitant automatiser et industrialiser leurs modèles de machine learning sur Kubernetes
Prerequisites
Bonnes connaissances en Python, machine learning supervisé/non supervisé, bases de Kubernetes (pods, services, déploiements)
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