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.
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.
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.
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.
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.
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.