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Training ONNX Runtime - Accelerate ML Inference in Production

Ref: DGJ348
10 people max.
From $4,620 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
4 days
Remote

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Learning objectives

  • Master ONNX Runtime to deploy professional ML models in production
  • Optimize model inference with ONNX Runtime for maximum performance
  • Develop cross-platform applications integrating ONNX Runtime in the enterprise
  • Implement hardware acceleration techniques with certified ONNX Runtime
  • Design scalable and secure inference pipelines
  • Evaluate and benchmark ONNX Runtime performance in real-world contexts
  • Acquire certifying skills in ONNX Runtime to boost your career

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.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1ONNX Runtime Fundamentals: Installation and First Models (Python, C++ Tools, Initial Benchmarks)

Quick installation of ONNX Runtime on various environments, hands-on with Python and C++ APIs to load your first ONNX models, execution of basic inferences on real datasets like ImageNet, practical exercises to convert TensorFlow or PyTorch models to ONNX, analysis of performance logs and creation of your first professional inference script, with code review by the trainer to validate enterprise best practices.

Module 2ONNX Runtime Optimization: Model Tuning and CPU/GPU Acceleration (Providers, Graph Optimizations)

Exploration of ONNX Runtime providers for CPU, GPU CUDA, and DirectML, application of automatic and manual graph optimizations on your models, exercises to reduce inference latency by 50% on concrete enterprise cases, use of tools like ONNX Optimizer and Model Profiler, development of custom scripts for quantization and pruning, comparative tests before/after with precise metrics, deliverable: optimized model ready for production.

Module 3ONNX Runtime Integration: Developing Real Applications (Web Services, Mobile, Edge Computing)

Integration of ONNX Runtime into Python Flask applications for inference APIs, development of a scalable web service with session management and batching, exercises on edge deployment with ONNX Runtime Mobile for Android/iOS, connection to databases for end-to-end pipelines, practical cases inspired by production such as real-time image recognition, advanced debugging and monitoring with integrated tools, production of a functional prototype usable immediately in the enterprise.

Module 4ONNX Runtime Production Deployment: Scaling, Security, and Monitoring (Docker, Kubernetes, Observability)

Containerization of models with Docker and official ONNX Runtime containers, orchestration with Kubernetes for auto-scaling, implementation of security (authentication, input encryption), setup of monitoring with Prometheus and Grafana for latency/throughput, exercises on error handling and rollbacks in production, multi-hardware benchmarks and final optimization, deliverable: complete deployment pipeline with monitoring dashboard, ready for your critical business challenges.

Evaluation method

  • Multiple-choice quiz to validate acquired knowledge at the end of the training
  • Continuous evaluation through practical exercises and benchmarks
  • Presentation of the ONNX Runtime red thread project to the trainer

Learning method

  • Courses led by an active ONNX Runtime expert trainer
  • Practical exercises on real enterprise ML cases
  • Progressive red thread project for an optimized production model
  • Complete course materials and ONNX Runtime resources provided to each participant

Methods, materials and delivery

The Training ONNX Runtime - Accelerate ML Inference 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 - Accelerate ML Inference 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 - Accelerate ML Inference 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.

Our method

Training quality, guaranteed at every step

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.

FAQ

Frequently asked questions

How much does the Training ONNX Runtime - Accelerate ML Inference in Production training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training ONNX Runtime - Accelerate ML Inference in Production training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Knowledge of Python, basics in Machine Learning, and handling of ONNX models
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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