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Training LoRA Fine-Tuning - Adapting LLMs in 2026

Course created on July 27, 2026Updated on October 5, 2026

On quote$3,465

3 days
Onsite
10 people max.

Request a quote See the program

Ref: ERI300

10 people max.

On quote$3,465

In-company rate: on quotefrom $6,290 for the whole team

On-site and certification exam on quote

3 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of LoRA fine-tuning, companies spend 70% more GPU resources on unnecessary full fine-tunings, wasting up to 100k€ per AI project.
In 2026, 62% of corporate AI initiatives fail due to lack of custom adaptations, driving 40% customer churn from generic models.
Untrained data scientists risk exclusion from 80% of advanced ML job offers.
Every quarter without LoRA skills widens a fatal competitive gap against players who deploy customized LLMs 4x faster and cheaper.

Trusted by — schools, companies and industrial groups

25,719 programs · 25 countries

Every program built with a dedicated engineer

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

Learning objectives

Master LoRA principles for professional fine-tuning of AI models
Set up a certified environment for LoRA fine-tuning in enterprise settings
Develop datasets tailored to business needs using LoRA
Implement LoRA fine-tunings on open-source LLMs
Evaluate the performance of LoRA fine-tuned models
Deploy LoRA-optimized applications for 2026

Program

Module 1LoRA Fine-Tuning Fundamentals: Principles and Installation (Hugging Face, PEFT, GPU)

Dive into the essential concepts of LoRA fine-tuning to effectively adapt large AI models, install the complete environment with Hugging Face Transformers and the PEFT library, configure GPU access via CUDA for fast training, perform your first exercises on an LLM like GPT-2 or Llama, prepare a simple dataset from enterprise cases, launch a basic fine-tuning with real-time metrics monitoring, produce a ready-to-use prototype model.

Module 2Practical LoRA Fine-Tuning: Datasets and Hyperparameters (rank, alpha, dropout, epochs)

Build professional custom datasets for your AI projects, explore key LoRA hyperparameters like rank, alpha, and dropout to optimize performance, apply data preprocessing techniques with Hugging Face Datasets, train models on concrete enterprise cases such as sector-specific chatbots, monitor training via TensorBoard and Weights & Biases, adjust parameters live to boost efficiency, generate comparative analysis reports and a specialized fine-tuned model.

Module 3LoRA Fine-Tuning Deployment: Evaluation and Production 2026 (ONNX, serving, merge)

Rigorous evaluation of your LoRA fine-tuned models using metrics like perplexity, BLEU, and human tests, convert to production formats like ONNX for fast inference, deploy via FastAPI or Hugging Face Spaces with LoRA adapter merging, optimize for 2026 constraints like edge computing and multi-GPU, simulate real enterprise scenarios with load testing, produce a complete deployable pipeline, document best practices for certified team integration.

Evaluation method

Multiple-choice quiz to validate learning outcomes at the end of the training
Continuous evaluation through practical LoRA exercises
Presentation of the red thread fine-tuning project

Learning method

Courses led by an active AI expert trainer
Practical exercises on real enterprise LoRA cases
Progressive red thread project for complete fine-tuning
Detailed course materials provided to each participant

Methods, materials and delivery

The Training LoRA Fine-Tuning - Adapting LLMs in 2026 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 LoRA Fine-Tuning - Adapting LLMs in 2026 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 LoRA Fine-Tuning - Adapting LLMs in 2026 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.

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.

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.

A child walking to school with a backpack

Our social commitment

A school kit donated to a child for every training booked

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

Enroll and offer a kit

FAQ

Frequently asked questions

Which tools are used in LoRA Fine-Tuning training?+

Hands-on work runs on hugging Face, PEFT, GPU, rank, alpha and dropout. Those tools come from the LoRA Fine-Tuning program itself, delivered on site over 3 days, so participants practise on the stack they will use at work.

What can participants do after LoRA Fine-Tuning training?+

They can master LoRA principles for professional fine-tuning of AI models, set up a certified environment for LoRA fine-tuning in enterprise settings and develop datasets tailored to business needs using LoRA. Those are the stated objectives of the LoRA Fine-Tuning program at Beginner level, checked by the end-of-session assessment.

What does the LoRA Fine-Tuning program cover, day by day?+

Day 1: LoRA Fine-Tuning Fundamentals: Principles and Installation (Hugging Face, PEFT, GPU). Day 2: Practical LoRA Fine-Tuning: Datasets and Hyperparameters (rank, alpha, dropout, epochs). Day 3: LoRA Fine-Tuning Deployment: Evaluation and Production 2026 (ONNX, serving, merge). The LoRA Fine-Tuning program runs over 3 days, delivered on site.

How is LoRA Fine-Tuning training assessed?+

Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous evaluation through practical LoRA exercises and presentation of the red thread fine-tuning project. Learni issues a completion certificate together with the individual assessment report at the end of the LoRA Fine-Tuning program, which an L&D team can file as evidence.

How much does LoRA Fine-Tuning training cost per participant?+

LoRA Fine-Tuning training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.

How long does LoRA Fine-Tuning training take?+

3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.

Who pays for LoRA Fine-Tuning training?+

Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.

What do participants need to know before LoRA Fine-Tuning training?+

Python basics, deep learning fundamentals, and Jupyter usage.

Is a certificate issued after LoRA Fine-Tuning training?+

Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.

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