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.
Training ONNX Runtime - Accelerate High-Performance AI Inference
Trusted by — schools, companies and industrial groups
25,809 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
ONNX Runtime training objectives
- Master the installation and configuration of ONNX Runtime for immediate professional use
- Develop skills to load and execute ONNX models in a business environment
- Optimize inference performance with appropriate providers
- Integrate ONNX Runtime into scalable and certified applications
- Apply concrete use cases for rapid upskilling
- Design efficient inference pipelines for data projects
ONNX Runtime curriculum: 2 modules over 2 days
Module 1 : ONNX Runtime Basics: Installation, Models, and First Execution (Python, Practical Exercises, First Deliverables)
Discover the quick installation of ONNX Runtime via pip or conda, configure suitable remote environments, load your first ONNX models from frameworks like TensorFlow or PyTorch, execute simple inferences on test datasets, perform guided practical exercises to validate outputs, analyze basic performance logs, produce your first functional enterprise-ready scripts, while integrating tips for effective certified training.
Module 2 : ONNX Runtime Optimization: Providers, Tuning, and Integration (CUDA, Real Cases, Scalable Deployments)
Dive into hardware providers like CPU, GPU, or DirectML to boost inference speeds, optimize models via quantization and graph tuning, integrate ONNX Runtime into web or mobile apps with Flask and simplified ONNX, handle real business cases like real-time prediction, develop end-to-end pipelines with monitoring, test on large datasets, generate deployable deliverables, and consolidate professional skills through a final certifying project.
How ONNX Runtime skills are assessed
- Interactive quizzes at the end of each module to validate theoretical knowledge
- Graded practical case studies evaluated by the certified trainer
- Final ONNX Runtime inference project with personalized feedback
How the ONNX Runtime course is taught
- Progressive pedagogy tailored to beginners with clear visual aids
- Hands-on exercises remotely using shared Jupyter Notebooks
- Real-world use cases from data-driven companies
- Unlimited access to replays and post-training resources
ONNX Runtime training: access and practical arrangements
The Training ONNX Runtime - Accelerate High-Performance AI Inference 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 - Accelerate High-Performance AI Inference 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 - Accelerate High-Performance AI Inference 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.
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.
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.
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.
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
FAQ
ONNX Runtime: frequently asked questions
Which tools are used in ONNX Runtime training?+
Hands-on work runs on python, practical Exercises, first Deliverables, CUDA, real Cases and scalable Deployments. Those tools come from the ONNX Runtime program itself, delivered on site over 2 days, so participants practise on the stack they will use at work.
What can participants do after ONNX Runtime training?+
They can master the installation and configuration of ONNX Runtime for immediate professional use, develop skills to load and execute ONNX models in a business environment and optimize inference performance with appropriate providers. Those are the stated objectives of the ONNX Runtime program at Beginner level, checked by the end-of-session assessment.
What does the ONNX Runtime program cover, day by day?+
Day 1: ONNX Runtime Basics: Installation, Models, and First Execution (Python, Practical Exercises, First Deliverables). Day 2: ONNX Runtime Optimization: Providers, Tuning, and Integration (CUDA, Real Cases, Scalable Deployments). The ONNX Runtime program runs over 2 days, delivered on site.
How is ONNX Runtime training assessed?+
Assessment relies on interactive quizzes at the end of each module to validate theoretical knowledge, graded practical case studies evaluated by the certified trainer and final ONNX Runtime inference project with personalized feedback. 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 $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 Runtime 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 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?+
Basic Python knowledge, elementary machine learning knowledge.
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.
Your professional training, anywhere
Let's build your ONNX Runtime learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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