Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: ROJ328
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 mastery of multiplatform AI model deployment with ONNX, your projects remain stuck in the prototype phase, incompatible with varied production environments.

  • This creates an average 35% loss in model performance and up to 200 000 € per incident in retraining costs and downtime, according to Gartner studies.

  • 60% of AI production failures are tied to conversion and optimization issues, exposing your company to competitive losses and your career to critical setbacks.

  • Every quarter without this expertise increases the risks, slowing innovation and profitability.

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
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  • Equans
  • EDF
  • Ubisoft
  • Microsoft

Every program built with a dedicated engineer

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

Multiplatform AI Models with ONNX training objectives

  • Understand the role of ONNX in AI model interoperability
  • Convert models from different frameworks (TensorFlow, PyTorch) to ONNX
  • Optimize and verify the compliance of ONNX models for inference
  • Set up a deployment and inference pipeline with ONNX Runtime on various platforms (servers, cloud, mobile)
  • Diagnose and fix common issues during conversion and deployment

Multiplatform AI Models with ONNX curriculum: 3 modules over 2 days

Module 1 : Fundamentals and Model Conversion with ONNX

Presentation of the ONNX ecosystem, use cases, basic manipulations. Step-by-step conversion of PyTorch and TensorFlow models to ONNX: workflow, operator compatibility, export and validation. Practical exercises on converting standard models.

Module 2 : Model Optimization and Best Practices for Production

ONNX optimization tools (quantization, simplification, pruning), validation of accuracy and performance of converted models, handling specific inputs/outputs, diagnostics of common errors. Setting up automated tests for the conversion and optimization pipeline.

Module 3 : Multiplatform Deployment with ONNX Runtime

Deployment of ONNX models in different environments: Python servers, REST APIs, cloud (Azure ML, AWS SageMaker), edge (IoT, mobile). Integration of ONNX Runtime, performance benchmarks, monitoring and updates. Workshop on production deployment of a real model and model lifecycle management.

How Multiplatform AI Models with ONNX skills are assessed

  • Multiple-choice quiz on the ONNX ecosystem and best practices
  • Hands-on case study for converting and deploying an AI model
  • Error fixes and log analysis

How the Multiplatform AI Models with ONNX course is taught

  • Interactive sessions with demonstrations on Jupyter
  • Real-world case studies from industry
  • Hands-on exercises and guided work
  • Access to a repository of notebooks and example scripts

Multiplatform AI Models with ONNX training: access and practical arrangements

The Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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: Deploying Multiplatform AI Models with ONNX: From Conversion to 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: Deploying Multiplatform AI Models with ONNX: From Conversion to 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 Multiplatform AI Models with 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

Multiplatform AI Models with ONNX: frequently asked questions

What can participants do after Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production training?+
They can understand the role of ONNX in AI model interoperability, convert models from different frameworks (TensorFlow, PyTorch) to ONNX and optimize and verify the compliance of ONNX models for inference. Those are the stated objectives of the Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production program cover, day by day?+
Day 1: Fundamentals and Model Conversion with ONNX. Day 2: Model Optimization and Best Practices for Production. Day 3: Multiplatform Deployment with ONNX Runtime. The Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production program runs over 2 days, delivered on site.
How is Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production training assessed?+
Assessment relies on multiple-choice quiz on the ONNX ecosystem and best practices, hands-on case study for converting and deploying an AI model and error fixes and log analysis. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production program, which an L&D team can file as evidence.
How much does Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production training cost per participant?+
Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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 Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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 Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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 Training: Deploying Multiplatform AI Models with ONNX: From Conversion to Production training?+
Solid knowledge of Python and machine learning, experience with at least one framework (PyTorch or TensorFlow).
Is a certificate issued after Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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 Training: Deploying Multiplatform AI Models with ONNX: From Conversion to 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.
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