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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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
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Don't let this gap widen
Sans maîtrise de l'interopérabilité ONNX, vos modèles IA restent prisonniers de frameworks isolés, rendant leur déploiement en production impossible ou chaotique.
Une équipe perd en moyenne 200 heures par projet en reconversions manuelles, soit 20 000 € de productivité évaporée.
75 % des échecs de mise en production d'IA proviennent d'incompatibilités de formats, générant des downtimes à 10 000 €/heure et exposant l'entreprise à une perte de parts de marché.
Chaque mois sans cette expertise menace la scalabilité de vos solutions et votre avancement professionnel.
The ONNX : Maîtriser l’Interopérabilité des Modèles IA pour la 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 ONNX : Maîtriser l’Interopérabilité des Modèles IA pour la 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 ONNX : Maîtriser l’Interopérabilité des Modèles IA pour la 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.
Présentation des problématiques d’interopérabilité entre frameworks ML. Historique d’ONNX et vue d’ensemble. Présentation de l’écosystème, normes et architecture ONNX. Comparatif avec d’autres formats (PMML, protobuf).
Export de modèles PyTorch, TensorFlow, scikit-learn vers ONNX pas à pas. Gestion des incompatibilités et des custom layers. Utilisation de Netron pour explorer la structure des modèles ONNX. Bonnes pratiques.
Principes d’inférence avec ONNX Runtime (CPU, GPU, accélérateurs). Optimisation (quantization, pruning, conversion FP16/INT8). Déploiement sur serveurs, Docker, cloud (Azure, AWS, GCP). Tour d’horizon des intégrations edge/mobile (ONNX.js, CoreML, Android).
Target audience
Ingénieurs data, data scientists, architectes IA, développeurs souhaitant déployer et optimiser des modèles d’intelligence artificielle dans différents environnements.
Prerequisites
Bonne compréhension du Python, fondamentaux du machine learning, connaissance d’au moins un framework IA (PyTorch, TensorFlow, scikit-learn).
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