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Training TensorRT-LLM - Accelerate LLM Inference in Production

Ref: KAD844
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 TensorRT-LLM to optimize Large Language Models in certified professional training
  • Develop expert skills in compilation and accelerated inference for the enterprise
  • Design TensorRT-LLM optimization pipelines reducing latencies by 80%
  • Implement high-performance inference servers with TensorRT-LLM
  • Optimize GPU resources for scalable LLM deployments in production
  • Evaluate and benchmark TensorRT-LLM performance in real professional cases

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.

Célian Lebacle
Célian Lebacle

Learni trainer · Web & mobile expert

73%productivity gap
×3cost of inaction

Program

Module 1TensorRT-LLM Fundamentals: Installation and First Optimized Models (NVIDIA Tools, CUDA)

Discover the TensorRT-LLM architecture through a complete installation on NVIDIA GPU environments, configure PyTorch and Triton Inference Server dependencies, perform your first benchmarks on Llama and GPT-like models, analyze immediate speed gains, and produce an initial performance report with guided practical exercises to consolidate expert basics in inference optimization.

Module 2Advanced TensorRT-LLM: Compilation and Multi-GPU Tuning (Engines, Quantization)

Dive into TensorRT-LLM engine compilation with FP8/INT4 quantization techniques, integrate the multi-GPU plugin for horizontal scaling, test on real datasets like MT-Bench, optimize custom kernels via TensorRT graphs, deploy in dynamic batching mode, and validate memory reductions up to 70% during intensive hands-on workshops.

Module 3TensorRT-LLM Deployment: Serving and Production Integration (Triton, Kubernetes)

Integrate TensorRT-LLM with Triton Inference Server for scalable REST/gRPC APIs, configure Kubernetes orchestration with NVIDIA Helm charts, manage load balancing and auto-scaling, simulate production loads with Locust, debug bottlenecks via NVIDIA Nsight, and deliver an enterprise-ready inference server with concrete chatbot and RAG application cases.

Module 4Expert TensorRT-LLM Optimization: Benchmarks and Advanced Use Cases (In-Context Learning)

Push the limits with optimized TensorRT-LLM in-context learning, benchmark against vLLM and HuggingFace TGI on A100/H100 hardware, implement KV-cache compression and paged attention, analyze latency/quality trade-offs via Perplexity scores, deploy an end-to-end RAG pipeline, and finalize with a capstone project certifying your professional skills in performant AI.

Evaluation method

  • Technical quizzes on TensorRT-LLM optimization and benchmarks
  • Practical project for scalable inference server deployment
  • Real case study with quantified performance report

Learning method

  • 70% hands-on on NVIDIA GPUs in live coding sessions
  • 30% theory with demos and expert feedback
  • Individualized exercises and collaborative challenges
  • Access to replays and post-training resources for 6 months

Methods, materials and delivery

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.

Equipment required

For the smooth delivery of the Training TensorRT-LLM - Accelerate LLM 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 TensorRT-LLM - Accelerate LLM 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 TensorRT-LLM - Accelerate LLM 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 TensorRT-LLM - Accelerate LLM 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?+
Advanced expertise in PyTorch/TensorFlow, mastery of CUDA and GPU programming, experience deploying LLMs in production
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.
On-site & remote

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