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.
Quick installation of the TensorRT-LLM environment on NVIDIA GPUs via official Docker containers, hands-on with build tools to convert Hugging Face models into optimized engines, practical exercises on Llama and Mistral with FP8 and AWQ quantization, creation of your first functional engine, real-time latency tests, and performance gain analysis for concrete enterprise use cases.
Exploration of TensorRT-LLM's automatic optimization passes such as GEMM fusion and multi-head attention, manual implementation of plugins for custom KV cache, exercises on LLMs from 7B to 70B parameters with paging and prefix caching, precise acceleration measurements via TensorRT benchmarks, development of a reusable build script for professional projects, and group validation of deliverables.
Integration of TensorRT-LLM with Triton Inference Server for scalable serving, multi-GPU configuration with tensor parallelism and pipeline parallelism, implementation of dynamic batching and in-flight batching to handle variable requests, practical cases on enterprise chatbots with token streaming, GPU resource optimization using NVIDIA DCGM tools, and production of actionable monitoring metrics.
Deployment in Kubernetes clusters using Helm charts for TensorRT-LLM, securing endpoints with TLS and rate limiting, CI/CD integration via GitHub Actions for automated engine rebuilds, resolution of real-world issues like OOM and performance drift, final red thread project on a customized LLM in simulated production, delivery of performance reports, and action plan for certified enterprise skills.
The Training TensorRT-LLM - Accelerate 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 - Accelerate 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 - Accelerate 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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Data ScienceIndustry-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.