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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

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.
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
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.
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.
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.
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.
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.
For the smooth delivery of the Training: Deployment and Optimization of AI Models with Triton Inference Server program, the following equipment is required:
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.
Assessment of skills acquired during the Training: Deployment and Optimization of AI Models with Triton Inference Server program is performed through:
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.
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.
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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Machine learningIndustry-certifiedAvailable on-site and remotely. Pick your city to see the local training center.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.