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Training LLM-as-judge - Optimizing Automatic Model Evaluation

Ref: DEF969
10 people max.
From $2,310 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
2 days
Onsite

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Learning objectives

  • Master LLM-as-judge techniques for precise evaluation of professional models.
  • Develop certifying skills in prompt engineering applied to business.
  • Design automated evaluation systems tailored to artificial intelligence projects.
  • Implement robust workflows to measure LLM performance in real-world contexts.
  • Optimize evaluation processes to reduce biases in companies.
  • Deploy LLM-as-judge solutions integrated into AI production pipelines.

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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: LLM-as-judge for expert evaluation (tools, methods, deliverables)

Participants discover the fundamentals of LLM-as-judge applied to artificial intelligence. They explore frameworks like LangChain and advanced APIs. Practical exercises include creating evaluation prompts on concrete business cases. Each learner designs a first automated scoring system. Personalized feedback helps refine approaches for reliable professional results.

Module 2Theme: LLM-as-judge advanced and optimization (tools, methods, deliverables)

The day deepens expert strategies to reduce bias and improve the reliability of judgments. Participants test multi-agent models and integrate custom metrics. Workshops focus on deployment in enterprise environments with performance monitoring. They deliver a complete prototype of a certifying evaluation adapted to their professional needs.

Evaluation method

  • Practical project of a deployable LLM-as-judge system
  • Interactive quizzes on expert evaluation methods
  • Final presentation of the deliverable with results analysis

Learning method

  • Practical workshops in small groups
  • Real company case studies
  • Individualized expert feedback
  • Access to post-training resources

Methods, materials and delivery

The Training LLM-as-judge - Optimizing Automatic Model Evaluation 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 - Optimizing Automatic Model Evaluation 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 - Optimizing Automatic Model Evaluation 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 - Optimizing Automatic Model Evaluation training cost?+
The individual price is $2,310 (USD). A detailed quote is sent within one business day.
How long is the Training LLM-as-judge - Optimizing Automatic Model Evaluation training?+
The training lasts 2 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?+
Advanced mastery of machine learning, practical experience with LLM APIs and evaluation frameworks.
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.
On-site & remote

This training across cities

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