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.
Training ONNX Runtime - Optimizing AI Inference in Production
Trusted by — schools, companies and industrial groups
25,808 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
ONNX Runtime training objectives
- Master ONNX Runtime for ultra-high-performance AI inferences in enterprise settings
- Optimize ONNX models using advanced quantization and pruning techniques
- Develop scalable inference pipelines on CPU, GPU, and NPU
- Implement ONNX Runtime in production with monitoring and security
- Design hybrid ONNX integrations for certified applications
- Deploy ONNX Runtime solutions compatible with cloud and edge
- Acquire professional skills in advanced ONNX troubleshooting
ONNX Runtime curriculum: 5 modules over 5 days
Module 1 : ONNX Runtime Advances 2026: Expert Configuration and Basic Optimizations (CLI Tools, C++/Python APIs)
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.
Module 2 : ONNX Runtime Performance: Quantization and Graph Optimizations (ORTModule, Transformer APIs)
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.
Module 3 : ONNX Runtime Hardware: GPU/NPU/Edge Acceleration (TensorRT, OpenVINO, DirectML Backends)
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.
Module 4 : ONNX Runtime Deployment: Scaling and Security in Production (Kubernetes, Docker, Prometheus Monitoring)
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.
Module 5 : Advanced ONNX Runtime Cases: Troubleshooting and Custom Extensions (Profiling, Plugins, Interoperability)
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.
How ONNX Runtime skills are assessed
- Expert MCQ to validate acquired knowledge at the end of the training
- Continuous evaluation through practical exercises and benchmarks
- Presentation of the ongoing ONNX Runtime project to the trainer
How the ONNX Runtime course is taught
- Courses led by an active ONNX Runtime expert trainer
- Practical exercises based on real enterprise AI cases
- Progressive ongoing project throughout the training
- Complete course materials provided to each participant
ONNX Runtime training: access and practical arrangements
The Training ONNX Runtime - Optimizing AI Inference in Production program is delivered onsite or remote (blended-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.
Equipment required
For the smooth delivery of the Training ONNX Runtime - Optimizing AI Inference in Production program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
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.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training ONNX Runtime - Optimizing AI Inference in Production program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
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.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your ONNX Runtime training
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.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
ONNX Runtime: frequently asked questions
Which tools are used in ONNX Runtime training?+
Hands-on work runs on CLI Tools, c++, python APIs, ORTModule, transformer APIs and tensorRT. Those tools come from the ONNX Runtime program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after ONNX Runtime training?+
They can master ONNX Runtime for ultra-high-performance AI inferences in enterprise settings, optimize ONNX models using advanced quantization and pruning techniques and develop scalable inference pipelines on CPU, GPU, and NPU. Those are the stated objectives of the ONNX Runtime program at Expert level, checked by the end-of-session assessment.
What does the ONNX Runtime program cover, day by day?+
Day 1: ONNX Runtime Advances 2026: Expert Configuration and Basic Optimizations (CLI Tools, C++/Python APIs). Day 2: ONNX Runtime Performance: Quantization and Graph Optimizations (ORTModule, Transformer APIs). Day 3: ONNX Runtime Hardware: GPU/NPU/Edge Acceleration (TensorRT, OpenVINO, DirectML Backends). Day 4: ONNX Runtime Deployment: Scaling and Security in Production (Kubernetes, Docker, Prometheus Monitoring). Day 5: Advanced ONNX Runtime Cases: Troubleshooting and Custom Extensions (Profiling, Plugins, Interoperability). The ONNX Runtime program runs over 5 days, delivered on site.
How is ONNX Runtime training assessed?+
Assessment relies on expert MCQ to validate acquired knowledge at the end of the training, continuous evaluation through practical exercises and benchmarks and presentation of the ongoing ONNX Runtime project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the ONNX Runtime program, which an L&D team can file as evidence.
How much does ONNX Runtime training cost per participant?+
ONNX Runtime training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does ONNX Runtime training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for ONNX Runtime training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before ONNX Runtime training?+
Advanced mastery of Python, TensorFlow/PyTorch, ONNX formats, and ML model deployment.
Is a certificate issued after ONNX Runtime training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Your professional training, anywhere
Let's build your ONNX Runtime learning path.
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