Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
Don't let this gap widen
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Dive into the new features of ONNX Runtime 2026, install and configure the advanced environment with support for emerging NPUs, explore expert APIs in Python and C++ for custom builds, perform initial benchmarks on converted TensorFlow/PyTorch models, produce a baseline performance report and automation script, apply optimization flags to reduce latency from the first practical exercise on a real enterprise case.
Optimize your ONNX models using dynamic and static quantization with ONNX Runtime tools, transform complex graphs using ORTModule for PyTorch, test advanced operator fusions on GPU CUDA and DirectML, measure gains up to 4x in speed on large datasets, develop an automated post-training quantization pipeline, analyze precision/speed trade-offs through hands-on exercises, and generate production-ready deliverables.
Integrate ONNX Runtime with expert hardware backends like TensorRT for NVIDIA, OpenVINO for Intel, and DirectML for Windows, configure multi-EP sessions for CPU/GPU/NPU hybridization, deploy on edge devices with memory constraints, perform cross-platform benchmarks on industrial IoT cases, optimize for low-latency real-time inference, produce a scalable prototype with integrated monitoring, and validate performance through simulated load-balanced tests.
Deploy ONNX Runtime in a Kubernetes cluster with secure Docker containers, implement auto-scaling based on inference metrics, integrate Prometheus/Grafana monitoring for latency and throughput, manage model security via encryption and access controls, test fault-tolerance in high-availability scenarios, develop a CI/CD pipeline for over-the-air model updates, and finalize a ready-to-use production architecture blueprint for your enterprise.
Master expert troubleshooting with ONNX Runtime trace profiling and advanced debuggers, develop custom Execution Providers for proprietary hardware, explore interoperability with frameworks like Hugging Face and MLflow, resolve common pitfalls in multi-threading and memory leaks, apply to a complete ongoing project, produce certifying documentation and a maintenance plan, consolidate skills through code review and final MCQ for professional certification.
The Training ONNX Runtime - Optimizing AI Inference in Production program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
For the smooth delivery of the Training ONNX Runtime - Optimizing AI Inference in Production program, the following equipment is required:
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
Assessment of skills acquired during the Training ONNX Runtime - Optimizing AI Inference in Production program is performed through:
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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Data ScienceIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.