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: Mastering ONNX - Modeling, Conversion and Deployment of Interoperable AI Models
Trusted by — schools, companies and industrial groups
25,807 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
ONNX training objectives
- Understand the principles and challenges of interoperability in artificial intelligence with ONNX
- Convert models from popular frameworks (TensorFlow, PyTorch, Scikit-learn) to ONNX format
- Optimize, diagnose and validate ONNX models for production
- Deploy an ONNX model in application environments (Cloud, Edge, industrial production)
- Leverage ONNX community tools for monitoring, inference and model transfer
ONNX curriculum: 3 modules over 3 days
Module 1 : ONNX Fundamentals and AI Interoperability
Introduction to ONNX and its community, architecture and key concepts (computational graphs, operators, initializers), interoperability challenges, overview of compatible frameworks, installation of ONNX tools (runtime, converters), first imports/exports of simple models.
Module 2 : Model Conversion, Optimization and Validation
Practical cases: conversion from PyTorch, TensorFlow and Scikit-learn. Handling incompatibilities and operator versions, model optimization with ONNX Runtime, quantization, pruning, tools for diagnosing and visualizing graphs (Netron, Shape Inference), unit tests for inference and output validation.
Module 3 : Advanced Deployment, Integration and Production
Deploying ONNX models in various architectures (REST API, microservices, Edge servers, mobile). Using ONNX Runtime (CPU, GPU, Embedded), inference benchmarks, integration with MLOps pipelines (CI/CD), security and monitoring, best practices for maintenance and versioning.
How ONNX skills are assessed
- Completion of a project converting and deploying an ONNX model
- Final MCQ on ONNX concepts and tool chain
- Individual review of practical exercises to validate learning outcomes
How the ONNX course is taught
- Interactive lectures and live demonstrations
- Hands-on practice on real-world cases and open datasets
- Tool cheat sheets and scripts provided to automate conversions
- Access to digital materials and examples post-training
ONNX training: access and practical arrangements
The Training: Mastering ONNX - Modeling, Conversion and Deployment of Interoperable 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: Mastering ONNX - Modeling, Conversion and Deployment of Interoperable 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: Mastering ONNX - Modeling, Conversion and Deployment of Interoperable 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.
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 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: frequently asked questions
What can participants do after Training: Mastering ONNX training?+
They can understand the principles and challenges of interoperability in artificial intelligence with ONNX, convert models from popular frameworks (TensorFlow, PyTorch, Scikit-learn) to ONNX format and optimize, diagnose and validate ONNX models for production. Those are the stated objectives of the Training: Mastering ONNX program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering ONNX program cover, day by day?+
Day 1: ONNX Fundamentals and AI Interoperability. Day 2: Model Conversion, Optimization and Validation. Day 3: Advanced Deployment, Integration and Production. The Training: Mastering ONNX program runs over 3 days, delivered on site.
How is Training: Mastering ONNX training assessed?+
Assessment relies on completion of a project converting and deploying an ONNX model, final MCQ on ONNX concepts and tool chain and individual review of practical exercises to validate learning outcomes. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering ONNX program, which an L&D team can file as evidence.
How much does Training: Mastering ONNX training cost per participant?+
Training: Mastering ONNX training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 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 Training: Mastering ONNX training take?+
3 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 Training: Mastering ONNX 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 Training: Mastering ONNX training?+
Good knowledge of Python and basics of machine learning with common frameworks (PyTorch, TensorFlow or Scikit-learn).
Is a certificate issued after Training: Mastering ONNX 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.
Does Learni provide the equipment for Training: Mastering ONNX training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your ONNX learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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