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Training LLM-as-Judge - Automating Generative AI Evaluation

Ref: VPL684
10 people max.
From $5,775 HT / per person
Group rate: $14,438 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master the fundamentals of LLM-as-judge in certified professional training
  • Develop skills to automatically evaluate outputs from AI models
  • Design effective prompts tailored for business evaluation
  • Implement practical LLM-as-judge evaluation pipelines
  • Optimize judgment metrics for professional projects
  • Apply LLM-as-judge in concrete certified cases

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 1LLM-as-Judge Fundamentals: Introduction to Concepts and Tools (GPT-4, Basic Prompting, First Benchmarks)

Discover the basics of LLM-as-judge through concrete examples with GPT-4 and Llama, explore the principles of automatic judgment of AI outputs, perform practical exercises in simple prompting to evaluate textual coherence, analyze real business use cases, produce your first evaluation reports, benefit from immediate feedback from the certified trainer to consolidate your beginner skills.

Module 2Prompt Engineering for LLM-as-Judge: Crafting Reliable AI Judges (Chain-of-Thought, Few-Shot, OpenAI Tools)

Dive into prompt engineering dedicated to LLM-as-judge, test Chain-of-Thought and few-shot learning techniques on public datasets, implement prompt templates to judge semantic quality, evaluate responses generated by Mistral or Claude, measure judgment reproducibility via Python scripts, generate analyzable deliverables, strengthen your professional skills in interactive remote training.

Module 3Metrics and Benchmarks for LLM-as-Judge: Quantitative Evaluation (BLEU, ROUGE, Custom Scores, Hugging Face)

Learn to define metrics tailored to LLM-as-judge such as judgment accuracy and calibration, use Hugging Face and LangChain libraries for automated benchmarks, compare LLM-as-judge to human evaluators on MT-Bench datasets, perform score optimization exercises, produce performance tables for business reports, integrate real-time feedback for rapid skill development.

Module 4Advanced LLM-as-Judge Pipelines: Integration into Workflows (LangChain, API Chaining, Scaling)

Build complete LLM-as-judge pipelines with LangChain and FastAPI, integrate multiple judge models for increased robustness, test on real cases like chatbot evaluation, manage biases and uncertainty in judgments, deploy scalable prototypes on AWS or Vercel cloud, analyze operational costs, deliver a functional intermediate project, benefit from personalized support in certified training.

Module 5Practical Applications and Deployment of LLM-as-Judge: Business Cases, Monitoring (Streamlit, Production-Ready)

Apply LLM-as-judge to professional scenarios such as evaluating generated content or AI code, deploy a Streamlit app for real-time monitoring, integrate performance drift alerts, review best practices for business, present your final project to the group, receive Qualiopi certification, access post-training resources for immediate AI skill autonomy.

Evaluation method

  • Interactive quizzes and daily challenges to validate learning
  • Final practical project: deployed and documented LLM-as-judge pipeline
  • Qualiopi certified attestation with peer and trainer evaluation

Learning method

  • Hands-on method with 70% practice on real tools
  • Exercises based on public datasets and real business cases
  • Individual tutoring via videoconference to resolve issues
  • Video resources and source code accessible for 6 months post-training

Methods, materials and delivery

The Training LLM-as-Judge - Automating Generative AI 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 - Automating Generative AI 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 - Automating Generative AI 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 - Automating Generative AI Evaluation training cost?+
The individual price is $5,775, and the team / on-site price is $14,438 (USD). A detailed quote is sent within one business day.
How long is the Training LLM-as-Judge - Automating Generative AI Evaluation 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?+
Basic Python programming skills, elementary artificial intelligence knowledge, installed development environment
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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