Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Formation ONNX Runtime - Accélérer l'inférence IA performante training are: Notions de base en Python, connaissances élémentaires en apprentissage automatique. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation ONNX Runtime - Accélérer l'inférence IA performante training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation ONNX Runtime - Accélérer l'inférence IA… | Learni

The story of Learni

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.

Configure your training

Response within 24hNo commitment100% free

7 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Formation ONNX Runtime - Accélérer l'inférence IA performante 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.

Teaching resources provided

To ensure the quality of the Formation ONNX Runtime - Accélérer l'inférence IA performante training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and 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.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Formation ONNX Runtime - Accélérer l'inférence IA performante training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

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.

Training objectives

Maîtriser l'installation et la configuration d'ONNX Runtime pour une utilisation professionnelle immédiate

Développer des compétences pour charger et exécuter des modèles ONNX en entreprise

Optimiser les performances d'inférence avec les providers adaptés

Intégrer ONNX Runtime dans des applications certifiantes et scalables

Appliquer des cas concrets pour une montée en compétences rapide

Concevoir des pipelines d'inférence efficaces pour des projets data

Training program

Module 1Bases ONNX Runtime : installation, modèles et exécution première (Python, exercices pratiques, premiers livrables)

Découvrez l'installation rapide d'ONNX Runtime via pip ou conda, configurez les environnements distants adaptés, chargez vos premiers modèles ONNX depuis des frameworks comme TensorFlow ou PyTorch, exécutez des inférences simples sur datasets tests, réalisez des exercices pratiques guidés pour valider les sorties, analysez les logs de performance basiques, produisez vos premiers scripts fonctionnels prêts pour l'entreprise, tout en intégrant des conseils pour une formation certifiante efficace.

Module 2Optimisation ONNX Runtime : providers, tuning et intégration (CUDA, cas réels, déploiements scalables)

Plongez dans les providers hardware comme CPU, GPU ou DirectML pour booster les vitesses d'inférence, optimisez les modèles via quantization et graph tuning, intégrez ONNX Runtime dans des apps web ou mobiles avec Flask et ONNX simplifié, traitez des cas concrets d'entreprise comme la prédiction temps réel, développez des pipelines end-to-end avec monitoring, testez sur datasets volumineux, générez des livrables déployables, consolidez vos compétences professionnelles via un projet final certifiant.