Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: XER508
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 stay locked inside proprietary frameworks and cannot be integrated or deployed across different environments.

  • Companies lose an average of 25% ROI on their AI projects, with manual conversion costs exceeding 80 000 € per model and deployment timelines multiplied by 3.

  • 70% of AI production failures stem from poor interoperability, generating downtimes at 10 000 €/hour and exposing the company to critical market-share losses.

  • Every quarter without these skills directly threatens competitiveness and accelerates the obsolescence of your AI initiatives.

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
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  • 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 ecosystem and its advantages for AI model interoperability
  • Export models from different frameworks (PyTorch, TensorFlow, scikit-learn)
  • Optimize, verify, and convert ONNX models for various hardware architectures
  • Integrate ONNX models into a production pipeline (API, edge, cloud)
  • Use associated tools: ONNX Runtime, quantization, benchmarks and profiling

ONNX curriculum: 5 modules over 2 days

Module 1 : Introduction to ONNX and Interoperability Challenges

Presentation and history of ONNX, interoperability use cases, overview of the ecosystem (format, API, ONNX Runtime). Export simple models from PyTorch and TensorFlow. Model validation. First tests with ONNX Runtime.

Module 2 : Export, Conversion, and Optimization of ONNX Models

Deep dive: exporting complex models, handling incompatibilities, conversion from scikit-learn. Optimizations: pruning, quantization, adjustment for different hardware architectures (CPU, GPU, FPGA). Use of tools: Netron, ONNX Checker, ONNX Graph Surgeon.

Module 3 : Deployment, Monitoring, and Integration into a Production Pipeline

Creating APIs for serving ONNX models (FastAPI, Flask, or Triton). Edge and cloud deployment. Automation of the conversion and test pipeline. Monitoring, profiling, ONNX diagnostic tools. Best practices for maintenance and scalability.

Module 4 : Case Studies and Advanced Practices

Implementation on real cases: image classification, NLP, tabular models, custom objects. Benchmarks on different architectures (cloud vs edge, different hardware). Problem-solving encountered in production.

Module 5 : Project Workshop and Evaluation

Red thread project: export, optimize, and deploy your own model. Synthesis multiple-choice quiz. Presentation and debrief of each participant's projects.

How ONNX skills are assessed

  • Multiple-choice quiz at the end of the training
  • Continuous work on practical exercises
  • Red thread project evaluated on the last day

How the ONNX course is taught

  • Interactive courses and practical workshops
  • Technical demonstrations
  • Real-world situations (case studies and mini-projects)
  • Provided digital supports (slides, notebooks, supplementary resources)

ONNX training: access and practical arrangements

The Training: Mastering ONNX: Integration 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: Integration 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: Integration 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.

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: Integration and Deployment of Interoperable AI Models training?+
They can understand the ONNX ecosystem and its advantages for AI model interoperability, export models from different frameworks (PyTorch, TensorFlow, scikit-learn) and optimize, verify, and convert ONNX models for various hardware architectures. Those are the stated objectives of the Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models program at Advanced level, checked by the end-of-session assessment.
What does the Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models program cover, day by day?+
Day 1: Introduction to ONNX and Interoperability Challenges. Day 2: Export, Conversion, and Optimization of ONNX Models. Day 3: Deployment, Monitoring, and Integration into a Production Pipeline. Day 4: Case Studies and Advanced Practices. Day 5: Project Workshop and Evaluation. The Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models program runs over 2 days, delivered on site.
How is Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models training assessed?+
Assessment relies on multiple-choice quiz at the end of the training, continuous work on practical exercises and red thread project evaluated on the last day. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models program, which an L&D team can file as evidence.
How much does Training: Mastering ONNX: Integration and Deployment of Interoperable AI Models training cost per participant?+
Training: Mastering ONNX: Integration and Deployment of Interoperable 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: Integration and Deployment of Interoperable 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: Integration and Deployment of Interoperable 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: Integration and Deployment of Interoperable AI Models training?+
Mastery of a programming language (Python preferred), solid knowledge in deep learning (PyTorch, TensorFlow or scikit-learn), basics on neural network architectures.
Is a certificate issued after Training: Mastering ONNX: Integration and Deployment of Interoperable 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: Integration and Deployment of Interoperable 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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