← Back Explore the Generative AI & LLMs category

Training LoRA Fine-Tuning - Personalizing AI Models

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

On quote$4,620

4 days
Onsite
10 people max.

Request a quote See the program

Ref: LSH733

10 people max.

On quote$4,620

In-company rate: on quotefrom $7,865 for the whole team

On-site and certification exam on quote

4 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of LoRA fine-tuning, companies waste up to 10 times more GPU resources, with training costs exceeding 50 000€ per custom model.
Teams lose 6 months on inefficient full fine-tuning, generating 70% errors in AI personalization according to Gartner 2024.
82% of ML projects fail due to lack of an economical approach like LoRA, threatening competitiveness and the careers of untrained data scientists.
Every delay widens the gap with competitors who deploy adapted AI in days, not months, risking estimated market share losses of 25%.

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 fine-tuning professional AI models
Set up the LoRA training environment with PEFT and Hugging Face tools
Develop skills in preparing datasets for enterprise fine-tuning
Implement LoRA fine-tuning on LLMs and diffusion models
Optimize LoRA adapter performance for production
Evaluate and deploy certified LoRA models in professional contexts

Program

Module 1LoRA Fundamentals: Principles and Advantages for Cost-Effective Fine-Tuning (Theory, Full Tuning Comparison, PEFT)

Discover the basics of LoRA fine-tuning through an engaging pedagogical immersion, explore low-rank adaptation mechanisms that reduce trainable parameters by 99% compared to full fine-tuning, concrete comparisons with examples on LLMs like Llama, guided exercises to identify enterprise use cases, creation of custom diagrams, and discussions on GPU resource savings, all to build solid and motivating foundations for certified AI projects.

Module 2LoRA Environment: Installation and Dataset Preparation (Hugging Face, PEFT, Tokenizers)

Install your complete LoRA stack live with the trainer, hands-on with the PEFT and Hugging Face Transformers libraries for quick and secure setup, prepare custom datasets tailored to your professional needs such as text for chatbots or images for generation, automated cleaning and tokenization on real enterprise cases, initial tests loading base models like Mistral, collaborative practical exercises with immediate feedback to build autonomy and confidence by the second day.

Module 3LoRA Practice: Hands-On Fine-Tuning on LLMs (Training, Hyperparameters, Monitoring)

Dive into active LoRA fine-tuning on a customizable ongoing project, select and adapt an open-source LLM to your business data using ready-to-use scripts, tune optimal hyperparameters like rank and alpha for fast results, real-time monitoring with Weights & Biases, group troubleshooting of common bugs on enterprise scenarios, produce a functional fine-tuned model ready for immediate testing, with a focus on business value such as 30% precision improvement for internal AI assistants.

Module 4LoRA Deployment: Optimization and Production Integration (Merge Adapters, Serving, Evaluation)

Finalize your LoRA model by merging adapters for smooth and lightweight deployment, optimize for fast inference with quantization and ONNX, quantitative evaluation tests using metrics like perplexity or BLEU on professional benchmarks, integrate into an enterprise pipeline via Docker and FastAPI, simulate production serving with real workloads, deliver complete assets including source code and certification report, for immediate professional application and visible ROI.

Evaluation method

Multiple-choice quiz to validate acquired knowledge at the end of the training
Continuous evaluation through practical LoRA exercises
Presentation of the ongoing project fine-tuning to the trainer

Learning method

Courses led by an active AI expert trainer
Practical exercises on real business cases in LoRA
Progressive ongoing project throughout the training
Complete course materials provided to each participant

Methods, materials and delivery

The Training LoRA Fine-Tuning - Personalizing AI 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 LoRA Fine-Tuning - Personalizing AI 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 LoRA Fine-Tuning - Personalizing AI 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.

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 theory, full Tuning Comparison, PEFT, hugging Face, tokenizers and training. Those tools come from the LoRA Fine-Tuning program itself, delivered on site over 4 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 fine-tuning professional AI models, set up the LoRA training environment with PEFT and Hugging Face tools and develop skills in preparing datasets for enterprise fine-tuning. 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 Fundamentals: Principles and Advantages for Cost-Effective Fine-Tuning (Theory, Full Tuning Comparison, PEFT). Day 2: LoRA Environment: Installation and Dataset Preparation (Hugging Face, PEFT, Tokenizers). Day 3: LoRA Practice: Hands-On Fine-Tuning on LLMs (Training, Hyperparameters, Monitoring). Day 4: LoRA Deployment: Optimization and Production Integration (Merge Adapters, Serving, Evaluation). The LoRA Fine-Tuning program runs over 4 days, delivered on site.

How is LoRA Fine-Tuning training assessed?+

Assessment relies on multiple-choice quiz to validate acquired knowledge at the end of the training, continuous evaluation through practical LoRA exercises and presentation of the ongoing project fine-tuning to the trainer. 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?+

4 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, machine learning fundamentals, PyTorch or Hugging Face Transformers.

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.

Your professional training, anywhere