Training: Mastering ONNX - Interoperability of AI Models for Multi-Platform Deployment

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: GRW771
8 people max.
$2,310
In-company rate: from $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering AI model interoperability via ONNX, multi-platform deployments become a massive drain on time and resources: manual conversions and unexpected incompatibilities stall projects.

  • A team loses an average of 30% of its development time, or 4 to 6 weeks per model, at a cost of 100 000 € in cumulative delays.

  • 65% of production incidents at AI companies stem from these interoperability gaps, causing costly downtime and revenue losses estimated at 500 000 € annually per failed deployment.

  • Your competitiveness collapses, exposing your career and company to obsolescence against players who scale without friction.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

25,807 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

ONNX training objectives

  • Understand the ONNX format and its positioning in the AI ecosystem
  • Export and import models from different frameworks to ONNX
  • Optimize and convert ONNX models for various environments (Cloud, Edge, Mobile)
  • Use ONNX Runtime for fast inference and compatibility with different hardware
  • Implement an end-to-end pipeline for deploying multiple models with ONNX

ONNX curriculum: 3 modules over 2 days

Module 1 : Introduction to ONNX and Interoperability Standards

History and objectives of ONNX, overview of the ecosystem, comparison with other formats (SavedModel, TorchScript), anatomy of an ONNX file, global workflow for integrating ONNX into AI projects.

Module 2 : Export and Conversion of Models from TensorFlow, PyTorch and Scikit-Learn

Conversion steps, extraction and export with torch.onnx, tf2onnx, skl2onnx; exploration of use cases, handling common incompatibilities, validation of the conversion, use of tools like Netron to inspect model structures.

Module 3 : Optimization and Multi-Platform Deployment with ONNX Runtime

Optimization concepts: pruning, quantization, layer fusion; introduction to ONNX Runtime on CPU, GPU, and Edge; best practices for improving inference performance; examples of deployment on Azure, AWS, embedded Linux and mobile; complete pipeline for conversion, testing, benchmarking and monitoring.

How ONNX skills are assessed

  • Practical case studies in each module
  • Red thread project: complete pipeline for converting and deploying a personal model
  • MCQ and practical exercise at the end of the training

How the ONNX course is taught

  • Interactive courses and technical demonstrations
  • Hands-on exercises and real-world cases
  • Access to a repository of example notebooks and automated scripts

ONNX training: access and practical arrangements

The Training: Mastering ONNX - Interoperability of AI Models for Multi-Platform Deployment 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 - Interoperability of AI Models for Multi-Platform Deployment 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 - Interoperability of AI Models for Multi-Platform Deployment 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

A child walking to school with a backpack
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
Enroll and offer a kit
FAQ

ONNX: frequently asked questions

What can participants do after Training: Mastering ONNX training?+
They can understand the ONNX format and its positioning in the AI ecosystem, export and import models from different frameworks to ONNX and optimize and convert ONNX models for various environments (Cloud, Edge, Mobile). Those are the stated objectives of the Training: Mastering ONNX program at Advanced level, checked by the end-of-session assessment.
What does the Training: Mastering ONNX program cover, day by day?+
Day 1: Introduction to ONNX and Interoperability Standards. Day 2: Export and Conversion of Models from TensorFlow, PyTorch and Scikit-Learn. Day 3: Optimization and Multi-Platform Deployment with ONNX Runtime. The Training: Mastering ONNX program runs over 2 days, delivered on site.
How is Training: Mastering ONNX training assessed?+
Assessment relies on practical case studies in each module, red thread project: complete pipeline for converting and deploying a personal model and MCQ and practical exercise at the end of the training. 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 $2,310 per participant. For an in-company team, the flat rate starts at $4,190 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?+
2 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?+
Solid foundations in machine learning and deep learning, experience with at least one ML framework (TensorFlow, PyTorch, 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.
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