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.
1 seat held for the next session
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
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.
Immersion in LLM-as-Judge principles through practical exercises on MT-Bench and Arena-Hard datasets, hands-on with pairwise comparison prompts using tools like LangChain and Hugging Face Evaluate, building a first custom judge for your business use cases, manual vs. automated comparative tests, generating initial reports highlighting 5x gains in evaluation speed, collective code review to refine approaches.
Design of end-to-end pipelines to evaluate 1000+ responses per hour, integration of vLLM for fast inference and Ray for distribution, exercises on fine-tuning specialized judges for code review or RAG, implementation of multi-step judgment chains reducing errors by 30%, real business cases with live A/B testing, production of interactive dashboards via Streamlit to visualize Spearman correlations.
In-depth analysis of positional and length biases using biased datasets, development of debiasing techniques like self-consistency and majority vote, implementation with libraries like EleutherAI and OpenAI Moderation, practical exercises on 50 real hallucination scenarios, calibration of judges for 90%+ human alignment, creation of custom deliverables including audit plans for secure production deployments.
Exploration of composite metrics like G-Eval and JudgeLM for granular evaluations, integration with frameworks like DeepEval and RAGAS, collaborative workshops on custom benchmarks for QA and code generation, optimization for >0.85 correlations with human experts, tests on your internal models with automated feedback loops, generation of executive reports demonstrating 70% ROI in evaluation time reduction.
Full-stack deployment on Kubernetes with Prometheus/Grafana monitoring for drift detection, CI/CD configuration via GitHub Actions for continuous judges, exercises on scaling to 10k evaluations/day, case studies from leading AI companies, finalization of red thread project with exposed API and complete docs, Q&A session on 2026 strategy integrating multimodality, skill certification via simulated production deployment.
The Training LLM-as-Judge - Accurately Evaluate LLMs 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 LLM-as-Judge - Accurately Evaluate LLMs 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 LLM-as-Judge - Accurately Evaluate LLMs 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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Cloud ComputingIndustry-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.