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 passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.
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 foundations of TensorRT-LLM 2026 through guided installation on GPU environments, configure Docker and essential dependencies, test your first LLM models like Llama with simple Python scripts, perform basic inference practical exercises, analyze initial performance metrics, and produce a diagnostic report to identify potential gains, while integrating real enterprise cases for immediate application.
Dive into creating optimized TensorRT engines for TensorRT-LLM 2026, configure dynamic batching and KV cache to accelerate long sequences, experiment with GPT and Mistral models on real datasets, measure latencies before/after optimization using TensorBoard, resolve common pitfalls in groups, and generate production-ready configurations, with a focus on enterprise integration and downloadable deliverables.
Master FP8 and INT4 quantization techniques in TensorRT-LLM 2026 to halve memory requirements, fuse attention layers for 30% speed gains, deploy on multi-GPU setups with Triton Inference Server, test on standard benchmarks like MLPerf, debug using NVIDIA logs and profiling tools, apply to concrete business cases like scalable chatbots, and export optimized models with quantified metrics for your professional portfolio.
Finalize deployment of TensorRT-LLM 2026 in Kubernetes containers for high availability, integrate Prometheus and Grafana for real-time monitoring of latencies and throughput, simulate production loads with Locust, secure API endpoints via Helm charts, optimize for edge computing if relevant, review the entire program in a personal capstone project, and receive a certificate with complete deliverables to showcase your enterprise skills.
The Training TensorRT-LLM 2026 - Accelerate LLM Inference in Production program is delivered onsite or remote (blended-learning, e-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 2026 - 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 2026 - 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.
Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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Bases de donnéesIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.