Training: Mastering ONNX: The Interoperability Standard for Your AI Models

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: YJO878
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 ONNX mastery, your AI models remain locked in silo frameworks, generating costly incompatibilities during deployments.

  • Companies lose an average of 40% of their development time on manual conversions, equivalent to 50 000 € per delayed project.

  • 65% of AI production incidents are tied to these interoperability gaps, exposing data scientists and engineers to major professional failures and threatening the company's business survival.

  • Each month without this critical expertise widens an insurmountable competitive gap.

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 structure and architecture of the ONNX format
  • Export and import models from different frameworks (PyTorch, TensorFlow, Scikit-learn) to and from ONNX
  • Adapt and optimize ONNX models for various environments (cloud, edge, mobile)
  • Implement inference acceleration with ONNX Runtime
  • Integrate ONNX into CI/CD pipelines and industrial solutions

ONNX curriculum: 3 modules over 2 days

Module 1 : Introduction to ONNX and Fundamentals of Interoperability

History of the ONNX project, interoperability principles, presentation of the format and specifications, industrial use cases, getting started with ONNX tools, file structures, graph visualization.

Module 2 : Exporting and Converting Models to ONNX

Exporting models from PyTorch (torch.onnx), TensorFlow (tf2onnx), scikit-learn-onnx; compatibility analysis; handling complex conversions; resolving common errors; best practices for validating the fidelity of the exported model.

Module 3 : Optimization, Inference, and Advanced ONNX Exploitation

Using and configuring ONNX Runtime; hardware acceleration (CPU, GPU, VPU, and Edge); quantization, pruning, and optimization tools; integration into a production pipeline (micro-services, CI/CD); case studies on deploying real applications (web, edge computing, embedded).

How ONNX skills are assessed

  • End-to-end case study with model conversion, optimization, and production via ONNX
  • Quizzes and practical exercises per module
  • Production of a technical dossier at the end of the training

How the ONNX course is taught

  • Alternating theoretical sessions and hands-on practice on real models
  • Case studies from the professional world
  • Q&A and personalized sessions during the training
  • Course materials and additional resources provided

ONNX training: access and practical arrangements

The Training: Mastering ONNX: The Interoperability Standard for Your 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: The Interoperability Standard for Your 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: The Interoperability Standard for Your 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.

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: The Interoperability Standard for Your AI Models training?+
They can understand the structure and architecture of the ONNX format, export and import models from different frameworks (PyTorch, TensorFlow, Scikit-learn) to and from ONNX and adapt and optimize ONNX models for various environments (cloud, edge, mobile). Those are the stated objectives of the Training: Mastering ONNX: The Interoperability Standard for Your AI Models program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering ONNX: The Interoperability Standard for Your AI Models program cover, day by day?+
Day 1: Introduction to ONNX and Fundamentals of Interoperability. Day 2: Exporting and Converting Models to ONNX. Day 3: Optimization, Inference, and Advanced ONNX Exploitation. The Training: Mastering ONNX: The Interoperability Standard for Your AI Models program runs over 2 days, delivered on site.
How is Training: Mastering ONNX: The Interoperability Standard for Your AI Models training assessed?+
Assessment relies on end-to-end case study with model conversion, optimization, and production via ONNX, quizzes and practical exercises per module and production of a technical dossier 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: The Interoperability Standard for Your AI Models program, which an L&D team can file as evidence.
How much does Training: Mastering ONNX: The Interoperability Standard for Your AI Models training cost per participant?+
Training: Mastering ONNX: The Interoperability Standard for Your AI Models 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: The Interoperability Standard for Your AI Models 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: The Interoperability Standard for Your AI Models 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: The Interoperability Standard for Your AI Models training?+
Good knowledge of machine learning basics, practical experience with at least one deep learning framework (PyTorch, TensorFlow, or Scikit-learn). Proficiency in Python.
Is a certificate issued after Training: Mastering ONNX: The Interoperability Standard for Your AI Models 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: The Interoperability Standard for Your AI Models 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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