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Training Relevance AI - Optimizing the Relevance of Advanced Models

Ref: RZV741
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Onsite

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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 advanced Relevance AI techniques to improve the accuracy of professional models
  • Develop deep learning skills applied to optimizing relevance in business
  • Design prompt engineering strategies for more relevant and certifying AI results
  • Implement complete Relevance AI pipelines tailored to organizational needs
  • Optimize the performance of AI systems in production with advanced relevance metrics
  • Evaluate and adjust models to ensure concrete impact on professional competitiveness
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.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Relevance AI Foundations and Data Analysis (Python tools, metrics, datasets)

Participants explore the fundamentals of Relevance AI through concrete case studies. They work with real datasets, apply relevance metrics and use Python to analyze performance gaps. Practical exercises help identify weaknesses in existing models and lay the foundations for advanced optimization in a professional context.

Module 2Theme: Deep Learning for Relevance (PyTorch, embeddings, fine-tuning)

This day focuses on advanced deep learning architectures. Learners fine-tune models with PyTorch, create optimized embeddings and test ranking techniques. Business cases illustrate how to improve AI output relevance while measuring impact on business processes.

Module 3Theme: Advanced Prompt Engineering and Relevance AI (templates, iteration, evaluation)

Participants master sophisticated prompt engineering methods to boost relevance. They design dynamic templates, iterate on complex prompts and evaluate results with dedicated frameworks. Practical workshops demonstrate how to integrate these skills into certifying AI workflows for the enterprise.

Module 4Theme: Optimization and Deployment of Relevance AI (MLOps, monitoring, A/B testing)

The training covers production deployment. Experts configure MLOps pipelines, implement continuous monitoring and perform A/B tests on relevance models. Concrete deliverables include dashboards and scripts to ensure sustainable improvement of AI performance in a professional environment.

Module 5Theme: Final Relevance AI Project and Certification (integration, presentation, evaluation)

Learners finalize a complete project integrating deep learning and prompt engineering. They present their optimized Relevance AI solutions to the group and receive detailed feedback. This day consolidates acquired skills and prepares for immediate application in their organization.

Evaluation method

  • Daily quizzes on key concepts
  • Final project evaluated by peers and trainers
  • Certificate of completion

Learning method

  • Active methods with 70% practice
  • Real business cases
  • Personalized feedback every day
  • Resources and templates provided

Methods, materials and delivery

The Training Relevance AI - Optimizing the Relevance of Advanced Models 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 Relevance AI - Optimizing the Relevance of Advanced Models 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 Relevance AI - Optimizing the Relevance of Advanced Models 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 Relevance AI - Optimizing the Relevance of Advanced Models training cost?+
The individual price is $5,775 (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 Relevance AI - Optimizing the Relevance of Advanced Models 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?+
Proficiency in Python, experience in deep learning with PyTorch or TensorFlow, and confirmed practice in prompt engineering.
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

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