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Training LLaMA 2026 - Optimizing LLMs for Scientific Research

Ref: WSH703
10 people max.
From $2,310 HT / per person
On-site on request · +$540 with certification exam
2 days
Remote

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Ubisoft
Microsoft
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ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
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Learning objectives

  • Master the advanced architectures of LLaMA 2026 for professional applications in certified research
  • Develop expert fine-tuning skills for LLaMA 2026 adapted to complex scientific data
  • Design optimization pipelines to integrate LLaMA 2026 into company workflows in sciences
  • Implement advanced prompting techniques and RAG to boost research performance
  • Optimize LLaMA 2026 performance on real cases in physics, chemistry, and mathematics
  • Deploy secure and scalable LLaMA 2026 models for professional certified projects
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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 1Advanced Foundations of LLaMA 2026: Architectures and Mathematical Optimization (PyTorch, Expert Transformers)

Discover the architectural evolutions of LLaMA 2026 with a focus on multi-layer attention mechanisms and mathematical optimizations for scientific research, explore practical exercises in model dissection via PyTorch, implement benchmarks on real physical and chemical datasets, analyze the impacts of parameters on simulation accuracy, produce comparative reports deliverable to your company, while integrating concrete cases of molecular modeling and AI-solved differential equations.

Module 2Expert Applications of LLaMA 2026: Fine-Tuning and Deployment in Research (RAG, LoRA, Scientific Cases)

Dive into expert fine-tuning of LLaMA 2026 via LoRA and QLoRA for specialized datasets in physics and chemistry, configure advanced RAG systems with scientific knowledge bases, perform hands-on exercises on quantum prediction optimization and spectral analyses, test scalable deployments on GPU clusters, generate functional prototypes for real-time mathematical modeling, evaluate performance with expert metrics like BLEU and ROUGE adapted to research, and prepare deliverables ready for certified enterprise integration.

Evaluation method

  • Final practical project on LLaMA 2026 optimization for a real scientific case
  • Advanced technical quiz on architectures and fine-tuning
  • Peer-review evaluation of prototypes deployed by participants
  • Qualiopi certified skills attestation delivered at the end

Learning method

  • Active learning through hands-on exercises on LLaMA 2026 in small groups
  • Real case studies from research in physics, chemistry, and math
  • Real-time personalized feedback from expert trainers
  • Practical simulations with professional tools like Hugging Face and PyTorch

Methods, materials and delivery

The Training LLaMA 2026 - Optimizing LLMs for Scientific Research 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 LLaMA 2026 - Optimizing LLMs for Scientific Research 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 LLaMA 2026 - Optimizing LLMs for Scientific Research 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 LLaMA 2026 - Optimizing LLMs for Scientific Research training cost?+
The individual price is $2,310 (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 LLaMA 2026 - Optimizing LLMs for Scientific Research 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?+
In-depth mastery of transformers and LLMs, expertise in PyTorch or TensorFlow, advanced skills in mathematical optimization and Python programming for scientific research
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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