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.
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 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.
Complete installation of the TensorRT-LLM environment on NVIDIA GPU, hands-on with Docker and CUDA Toolkit tools to create a first engine from a HuggingFace model like Llama-2, practical exercises on HF to TensorRT conversion, verification of initial performance with integrated benchmarks, generation of latency and throughput reports, setup of an ongoing enterprise LLM project to measure immediate gains.
Exploration of INT4/INT8/FP8 quantization techniques in TensorRT-LLM, automatic fusion of attention and MLP layers to reduce GPU memory, development of custom GEMM plugins to accelerate matrix calculations, practical cases on models like Mistral with hyperparameter tuning, profiling with Nsight Systems to identify bottlenecks, production of an optimized engine delivering up to 3x speedup, documentation of technical choices for production replication.
Integration of TensorRT-LLM with NVIDIA Triton Inference Server for multi-model deployments, management of KV cache for long-contextual streaming inferences, configuration of dynamic batching and tensor parallelism on GPU clusters, exercises on horizontal scaling with Kubernetes, load testing with Locust to simulate 1000+ requests/second, resolution of real enterprise error cases, deployment of a secure production-ready REST API service.
In-depth performance analysis with NVIDIA Nsight Compute and DCGM to tune TensorRT-LLM kernels, multi-GPU optimization with tensor and pipeline parallelism on 70B parameter LLMs, resolution of challenges like Out-Of-Memory via intelligent paging and swapping, workshops on concrete enterprise cases like scalable chatbots, finalization of the ongoing project with live Q&A, evaluation of final gains (latency <50ms, 70% cost reduction), delivery of reusable certifiable templates.
The Training TensorRT-LLM - Optimizing LLM 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.
For the smooth delivery of the Training TensorRT-LLM - Optimizing LLM Inference in Production 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 TensorRT-LLM - Optimizing LLM Inference in Production 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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Big DataIndustry-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.