Training ONNX Runtime - Deploying Optimized AI in Production

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: MTY794
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering ONNX Runtime, your AI projects face inferences slowed by 5 to 10 times, causing deployment delays of up to 40% according to Microsoft benchmarks.

  • Infrastructure costs surge by 50% due to unoptimized runtimes, hurting the company's competitiveness against agile competitors.

  • Your career stagnates: 70% of data project managers without these skills struggle to scale ML solutions, risking forced career changes or salary stagnation.

  • Invest now to secure your projects and boost your performance.

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

25,808 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
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  • AMD
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Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

ONNX Runtime training objectives

  • Master the basics of ONNX Runtime in certified professional training
  • Develop skills in export and inference for the enterprise
  • Design simple and performant ONNX pipelines
  • Implement ONNX Runtime in concrete projects
  • Configure optimized inference sessions
  • Optimize ML deployments for efficient project management
  • Acquire certified skills in professional AI runtime

ONNX Runtime curriculum: 1 module over 1 day

Module 1 : ONNX Runtime: Fundamentals and Practical Deployment (Python, ONNX models, project exercises)

Dive into the basics of ONNX Runtime through interactive Python tutorials, easily export TensorFlow or PyTorch models to the standard ONNX format, configure your first runtime for fast inference on CPU/GPU, perform practical exercises on real data project cases, integrate performance metrics, produce deliverables such as deployable scripts and a simplified Gantt chart for production timelines, alternating concise theory and supervised hands-on.

How ONNX Runtime skills are assessed

  • Interactive quiz on key ONNX Runtime concepts
  • Practical case study on deployment in a simulated project
  • Certified competency certificate issued

How the ONNX Runtime course is taught

  • 80% hands-on approach with live exercises
  • Real business project cases
  • Personalized feedback from expert trainer
  • Intuitive and secure remote platform

ONNX Runtime training: access and practical arrangements

The Training ONNX Runtime - Deploying Optimized AI in 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 Runtime - Deploying Optimized AI in 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 Runtime - Deploying Optimized AI in 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 Runtime 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 Runtime: frequently asked questions

Which tools are used in ONNX Runtime training?+
Hands-on work runs on python, ONNX models and project exercises. Those tools come from the ONNX Runtime program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after ONNX Runtime training?+
They can master the basics of ONNX Runtime in certified professional training, develop skills in export and inference for the enterprise and design simple and performant ONNX pipelines. Those are the stated objectives of the ONNX Runtime program at Beginner level, checked by the end-of-session assessment.
How is ONNX Runtime training assessed?+
Assessment relies on interactive quiz on key ONNX Runtime concepts, practical case study on deployment in a simulated project and certified competency certificate issued. Learni issues a completion certificate together with the individual assessment report at the end of the ONNX Runtime program, which an L&D team can file as evidence.
How much does ONNX Runtime training cost per participant?+
ONNX Runtime training costs $1,155 per participant. For an in-company team, the flat rate starts at $2,195 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 Runtime training take?+
1 day, 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 Runtime 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 Runtime training?+
Python basics, elementary machine learning concepts.
Is a certificate issued after ONNX Runtime 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 Runtime 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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