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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Training LLM-as-judge - Optimizing Automated Model Evaluation
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master LLM-as-judge architectures for reliable evaluations in professional contexts
- Develop automated evaluation frameworks tailored to business needs
- Design advanced prompts that improve AI judgment accuracy
- Implement certifying pipelines to measure model performance
- Optimize business processes through scalable evaluation skills
- Integrate professional training methods to deploy these tools internally
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
Companies that overlook LLM-as-judge methods lose reliability in model evaluation.
Recent studies show that 67 % of AI projects fail due to a lack of robust metrics, leading to average extra costs of 120 000 euros per year.
Professionals without these skills see their career progression slow against the competition.
Failing to master these tools exposes the company to undetected bias risks and a loss of competitiveness.
Train now to secure your AI projects.
Program
Module 1Theme: Fundamentals of LLM-as-judge and evaluation criteria (structured prompts, metrics, use cases)
Participants explore the basics of LLM-as-judge through practical exercises on advanced model APIs. They analyze real datasets, design evaluation grids and produce a first deliverable: a reusable prompt template for judging responses. The session alternates targeted theory and collaborative workshops to anchor the skills.
Module 2Theme: Design of multi-criteria judges with LLM-as-judge (scoring tools, biases, calibration)
This day deepens the creation of multi-criteria judges. Learners test bias reduction techniques, calibrate scores on public benchmarks and develop a complete evaluation system for a business case. Deliverable of the day: a functional prototype of an LLM-as-judge with documentation.
Module 3Theme: Integration of LLM-as-judge into Deep Learning pipelines (automation, monitoring)
Professionals integrate LLM-as-judge into existing workflows. They deploy automated evaluation scripts, configure monitoring dashboards and process large datasets. Practical exercises lead to a deliverable: a production-ready pipeline with logs and metrics.
Module 4Theme: Advanced optimization and enterprise deployment of LLM-as-judge (scaling, certification)
The final day focuses on scaling and certification. Participants optimize their systems for performance, validate quality assurance protocols and prepare a deployment plan. Final deliverable: a certifiable LLM-as-judge solution with evaluation report and strategic recommendations.
Evaluation method
- MCQ validation of key concepts each day
- Capstone project evaluated by peers and the trainer
- Oral defense of the final deliverable with detailed feedback
Learning method
- Practical workshops on real business cases
- Access to exclusive resources and templates
- Collaborative work in small groups
- Personalized feedback on each deliverable
Methods, materials and delivery
The Training LLM-as-judge - Optimizing Automated 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 Automated 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 Automated 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.
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.
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.
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.
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FAQ
Frequently asked questions
How much does the Training LLM-as-judge - Optimizing Automated Model Evaluation training cost?+
The price is $4,620 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training LLM-as-judge - Optimizing Automated Model Evaluation training?+
The training lasts 4 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?+
Confirmed experience in prompt engineering, mastery of LLM APIs and regular practice of projects in deep learning or NLP.
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
Available on-site and remotely. Pick your city to see the local training center.
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