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.
Learning objectives
- Master the installation of ONNX Runtime for professional enterprise deployments
- Understand the ONNX format and develop skills in model interoperability
- Implement AI model inference with certifying unit tests
- Optimize ONNX Runtime performance via various backends in practical training
- Integrate ONNX Runtime into CI/CD pipelines for enhanced quality assurance
- Design automated functional tests on models exported to ONNX
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.
Don't let this gap widen
Why this program matters
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.
Program
Module 1Introduction to ONNX Runtime: installation and first unit tests (Python, basic tools)
Discover ONNX Runtime through a guided installation on Windows and Linux, configure essential dependencies like pip and conda, perform your first unit tests on simple models imported from TensorFlow or PyTorch, validate interoperability with timed practical exercises, produce initial validation reports to ensure a solid foundation in software quality assurance.
Module 2ONNX Format: conversion and functional tests (model export, validation tools)
Convert PyTorch or TensorFlow models to ONNX format using onnx.converter, test validity via onnx.checker and visualization tools like Netron, implement automated functional tests to verify identical predictions before/after conversion, analyze common errors with interactive debugging, generate certifying deliverables for integration into professional QA pipelines.
Module 3ONNX Runtime Inference: CPU/GPU backends and performance tests (OrtSession, benchmarks)
Create inference sessions with OrtSession on CPU and CUDA backends, measure performance via built-in benchmarks and tools like ONNX Runtime perf, develop load tests to simulate production, optimize model graphs with operator fusion, produce quantified performance reports, apply real business cases for rapid upskilling in AI software testing.
Module 4ONNX Runtime Optimization: graph tuning and advanced QA tests (transformers, quantization)
Apply graph optimizations with onnxruntime-tools, test INT8 quantization for speed gains up to 4x, integrate transformers like BERT with end-to-end functional tests, measure impact on accuracy and latency via standard QA metrics, debug with integrated profilers, deliver optimized models ready for CI/CD deployment, strengthening your professionally certifying skills.
Module 5ONNX Runtime Integration: CI/CD and full production tests (Docker, Jenkins)
Integrate ONNX Runtime into Docker containers for scalable deployments, automate unit and functional tests in Jenkins or GitHub Actions pipelines, simulate production environments with variable loads, validate robustness via basic chaos engineering, generate monitoring dashboards with Prometheus, conclude with a capstone project certifying your new skills in corporate quality assurance.
Evaluation method
- Daily interactive quizzes on ONNX Runtime concepts
- Practical case studies with real tested models
- Final project evaluated by experts on performance and QA
Learning method
- Practical projects on concrete AI models in small groups
- Video support and post-training resources accessible
- Hands-on exercises with real-time expert feedback
- Production simulations for skill anchoring
Methods, materials and delivery
The Training ONNX Runtime - Deploy High-Performance AI Models 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 - Deploy High-Performance AI Models 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 - Deploy High-Performance AI Models 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.
Our method
Training quality, guaranteed at every step
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.
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FAQ
Frequently asked questions
How much does the Training ONNX Runtime - Deploy High-Performance AI Models training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training ONNX Runtime - Deploy High-Performance AI Models training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Python basics, elementary machine learning concepts, and Linux/Windows environment
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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