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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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The Training ONNX Runtime - Accelerate High-Performance AI Inference 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 Training ONNX Runtime - Accelerate High-Performance AI Inference 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 Training ONNX Runtime - Accelerate High-Performance AI Inference 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.
Discover the quick installation of ONNX Runtime via pip or conda, configure suitable remote environments, load your first ONNX models from frameworks like TensorFlow or PyTorch, execute simple inferences on test datasets, perform guided practical exercises to validate outputs, analyze basic performance logs, produce your first functional enterprise-ready scripts, while integrating tips for effective certified training.
Dive into hardware providers like CPU, GPU, or DirectML to boost inference speeds, optimize models via quantization and graph tuning, integrate ONNX Runtime into web or mobile apps with Flask and simplified ONNX, handle real business cases like real-time prediction, develop end-to-end pipelines with monitoring, test on large datasets, generate deployable deliverables, and consolidate professional skills through a final certifying project.
Target audience
Beginner data analysts, junior ML developers, IT managers upskilling in operational AI
Prerequisites
Basic Python knowledge, elementary machine learning knowledge
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