Training ONNX: Mastering AI Model Interoperability for Production

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: QKS781
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 ONNX interoperability, your AI models remain trapped in isolated frameworks, making production deployment impossible or chaotic.

  • A team loses an average of 200 hours per project on manual conversions, or 20 000 € in lost productivity.

  • 75 % of AI production failures stem from format incompatibilities, generating downtimes at 10 000 €/hour and exposing the company to loss of market share.

  • Every month without this expertise threatens the scalability of your solutions and your professional advancement.

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 challenges of AI model interoperability and deployment with ONNX
  • Learn to export models from major frameworks (PyTorch, TensorFlow, scikit-learn) to ONNX format
  • Master ONNX model inspection, conversion, and optimization tools
  • Deploy ONNX models on different platforms (server, mobile, edge)
  • Optimize inference performance using ONNX Runtime

ONNX curriculum: 3 modules over 2 days

Module 1 : Introduction to ONNX and AI Model Interoperability

Presentation of ML framework interoperability issues. ONNX history and overview. Presentation of the ecosystem, standards, and ONNX architecture. Comparison with other formats (PMML, protobuf).

Module 2 : Exporting and Converting AI Models to ONNX

Step-by-step export of PyTorch, TensorFlow, scikit-learn models to ONNX. Handling incompatibilities and custom layers. Using Netron to explore ONNX model structures. Best practices.

Module 3 : Deployment, Optimization, and Production with ONNX Runtime

Principles of inference with ONNX Runtime (CPU, GPU, accelerators). Optimization (quantization, pruning, FP16/INT8 conversion). Deployment on servers, Docker, cloud (Azure, AWS, GCP). Overview of edge/mobile integrations (ONNX.js, CoreML, Android).

How ONNX skills are assessed

  • Multiple-choice quiz at the end of the training
  • Case study with export and deployment of a real model
  • Quizzes and practical exercises on using ONNX Runtime

How the ONNX course is taught

  • Lectures and guided demonstrations
  • Real-world scenarios with various models
  • Practical exercises with provided code
  • PDF course materials and reference tutorials

ONNX training: access and practical arrangements

The Training ONNX: Mastering AI Model Interoperability for 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: Mastering AI Model Interoperability for 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: Mastering AI Model Interoperability for 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 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 ONNX: Mastering AI Model Interoperability for Production training?+
They can understand the challenges of AI model interoperability and deployment with ONNX, learn to export models from major frameworks (PyTorch, TensorFlow, scikit-learn) to ONNX format and master ONNX model inspection, conversion, and optimization tools. Those are the stated objectives of the ONNX: Mastering AI Model Interoperability for Production program at Intermediate level, checked by the end-of-session assessment.
What does the ONNX: Mastering AI Model Interoperability for Production program cover, day by day?+
Day 1: Introduction to ONNX and AI Model Interoperability. Day 2: Exporting and Converting AI Models to ONNX. Day 3: Deployment, Optimization, and Production with ONNX Runtime. The ONNX: Mastering AI Model Interoperability for Production program runs over 2 days, delivered on site.
How is ONNX: Mastering AI Model Interoperability for Production training assessed?+
Assessment relies on multiple-choice quiz at the end of the training, case study with export and deployment of a real model and quizzes and practical exercises on using ONNX Runtime. Learni issues a completion certificate together with the individual assessment report at the end of the ONNX: Mastering AI Model Interoperability for Production program, which an L&D team can file as evidence.
How much does ONNX: Mastering AI Model Interoperability for Production training cost per participant?+
ONNX: Mastering AI Model Interoperability for Production 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 ONNX: Mastering AI Model Interoperability for Production 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 ONNX: Mastering AI Model Interoperability for Production 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: Mastering AI Model Interoperability for Production training?+
Good understanding of Python, machine learning fundamentals, knowledge of at least one AI framework (PyTorch, TensorFlow, scikit-learn).
Is a certificate issued after ONNX: Mastering AI Model Interoperability for Production 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 ONNX: Mastering AI Model Interoperability for Production 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.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

ONNX training in your city

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks