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Training LLM-as-Judge - Accurately Evaluate LLMs in Production

Ref: SXX995
10 people max.
From $6,431 HT / per person
On-site on request · +$540 with certification exam
5 days
Remote

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Microsoft
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Ubisoft
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Learning objectives

  • Master LLM-as-Judge protocols for certified corporate evaluations
  • Develop automated LLM performance evaluation pipelines
  • Design advanced prompts optimizing AI judgment reliability
  • Implement composite metrics for professional benchmarks
  • Optimize LLM-as-Judge against biases and hallucinations in production contexts
  • Deploy scalable solutions for massive A/B tests on AI models
  • Analyze results for competitive gains in artificial intelligence
A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training

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.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1LLM-as-Judge Fundamentals: Protocols and Initial Prompts (GPT-4o, Llama 3)

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.

Module 2LLM-as-Judge Architecture: Scalable Pipelines (vLLM, Ray Serve)

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.

Module 3LLM-as-Judge Optimization: Bias Mitigation and Robustness (Debias Techniques)

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.

Module 4Advanced LLM-as-Judge Metrics: Hybrid Benchmarks (G-Eval, Auto-J)

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.

Module 5Production Deployment of LLM-as-Judge: Monitoring and Scaling 2026 (Kubernetes, Prometheus)

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.

Evaluation method

  • Advanced MCQ on LLM-as-Judge protocols and metrics
  • Practical evaluation via custom deployed pipeline
  • Red thread project defense with human-correlated metrics

Learning method

  • Courses by expert AI trainers in active production
  • Hands-on exercises on real business cases and 2025 datasets
  • Evolving red thread project over 5 days with shared source code
  • Digital pedagogical support and interactive slides provided

Methods, materials and delivery

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.

Equipment required

For the smooth delivery of the Training LLM-as-Judge - Accurately Evaluate LLMs 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 LLM-as-Judge - Accurately Evaluate LLMs 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 LLM-as-Judge - Accurately Evaluate LLMs in Production training cost?+
The individual price is $6,431 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training LLM-as-Judge - Accurately Evaluate LLMs in Production training?+
The training lasts 5 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?+
Mastery of Python, LLMs like GPT or Llama, fine-tuning and OpenAI/Hugging Face APIs
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.
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