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.
Immersive introduction to the key concepts of LLM-as-judge, quick setup of the development environment with OpenAI GPT-4o and HuggingFace models, creation of your first evaluation prompt on public datasets like MT-Bench, practical exercises to judge simple textual responses, comparative analysis with human judgments, production of an initial basic metrics report to validate your skills from day one.
Deep dive into prompt engineering dedicated to LLM-as-judge, experimentation with chain-of-thought and few-shot techniques on real business cases, creation of role-playing prompts to simulate human experts, iterative testing on varied AI outputs using tools like LangChain, measurement of improvements in coherence and relevance scores, development of a reusable prompt template to accelerate future team evaluations.
In-depth exploration of standard and advanced metrics for LLM-as-judge, implementation of BLEU, ROUGE, and semantic evaluations with embeddings via Sentence Transformers, exercises on real datasets like AlpacaEval, calibration of judgment thresholds to minimize biases, creation of an interactive dashboard with Streamlit to visualize results, tangible gains in evaluation precision for professional AI projects.
Building complete LLM-as-judge pipelines in Docker containers for enterprise scalability, implementation of batch processing for thousands of outputs using Ray or Dask, seamless integration with existing APIs such as those for your fine-tuned models, simulations of high loads with R&D use cases, optimization of inference costs on cloud providers, delivery of a deployable prototype ready for production.
Preparation for production deployment with lightweight fine-tuning of LLM judges on your internal data, integration of monitoring with Weights & Biases to track drifts, analysis of real cases from leading companies in 2026, resolution of challenges like hallucinations and biases, final exercises on a personalized red thread project, delivery of a complete kit with source code and optimization guide for immediate team adoption.
The Training LLM-as-judge 2026 - Automatically Evaluate AI Outputs 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 LLM-as-judge 2026 - Automatically Evaluate AI Outputs 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 2026 - Automatically Evaluate AI Outputs 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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