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Training: Deployment and Optimization of AI Models with Triton Inference Server

Ref: BIV863
8 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Learning objectives

  • Discover the architecture and features of Triton Inference Server
  • Deploy machine learning models (TensorFlow, PyTorch, ONNX, etc.) with Triton
  • Set up high-performance inference in production
  • Automate model management, scalability, and updates
  • Optimize performance and resolve common AI inference issues
  • Monitor and supervise prediction servers in production
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Our social commitment

A school kit donated to a child for every training

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

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 mastery of deploying and optimizing AI models with Triton Inference Server, inference latency spikes 50% on average, wasting up to 200 000 € per year in unused cloud resources for a team of 10 engineers.

  • 65% of AI production incidents stem from poor Triton configuration, triggering critical downtimes that cost 100 000 € per hour in lost revenue and missed opportunities.

  • Every quarter without expertise exposes your company to a 30% erosion in AI market competitiveness while your career stalls amid blocked projects and evaporated promotions.

  • Costs pile up: act before the next fatal outage.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Introduction to Triton Inference Server and Environment Preparation

Presentation of Triton Inference Server (context, use cases, advantages); Installation and configuration of Triton on different platforms; Structure of supported models (TensorFlow, PyTorch, ONNX, TensorRT, custom ensembles); Discovery of the REST/gRPC API.

Module 2Deployment and Model Management with Triton

Organization and loading of models in Triton; Version management and configuration of inference endpoints; Creation of complex inference pipelines (ensembles, pre/post-processing via scripts); Scalability management with Kubernetes and Docker.

Module 3Optimization, Monitoring, and Production Best Practices

Performance optimization techniques (batching, GPU, multi-instance); Use of NVIDIA Triton Model Analyzer and Prometheus; Production monitoring, logs, and alerting; Security, error management, and best practices for maintenance and scaling.

Evaluation method

  • Real-world model deployment simulation
  • Quiz to validate knowledge at the end of the session
  • Case studies and practical exercises on each module

Learning method

  • Step-by-step demonstrations on real environments
  • Interactive sessions with guided exercises and practical cases
  • Provision of digital materials, example scripts, and tutorials
  • Exchange of best practices and experience feedback

Methods, materials and delivery

The Training: Deployment and Optimization of AI Models with Triton Inference Server 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: Deployment and Optimization of AI Models with Triton Inference Server 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: Deployment and Optimization of AI Models with Triton Inference Server 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: Deployment and Optimization of AI Models with Triton Inference Server training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training: Deployment and Optimization of AI Models with Triton Inference Server training?+
The training lasts 3 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?+
Experience in machine learning and knowledge of containers (Docker)
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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