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Training LoRA Fine-Tuning - Efficiently Adapt AI for IoT

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

On quote$5,775

5 days
Onsite
10 people max.

Request a quote See the program

Ref: NZR245

10 people max.

On quote$5,775

In-company rate: on quotefrom $10,395 for the whole team

On-site and certification exam on quote

5 days

Onsite

Don't let this gap widen

Why this program matters

Without mastery of LoRA fine-tuning, 70% of IoT projects fail during deployment due to excessive resource consumption, driving 40% higher costs according to Gartner 2025.
Companies lose competitive edge to rivals optimizing edge AI, incurring estimated annual losses of 2M€ for industrial SMEs.
Your career stalls without these certified skills, blocking advancement in IoT data engineering.
Invest now to lock in 2026 innovations and monetize LoRa sensors.

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 the fundamentals of LoRA fine-tuning in certified professional training
Develop skills to adapt AI models to concrete IoT use cases
Design optimized fine-tuning pipelines for enterprise use
Implement LoRA on IoT sensor datasets using Hugging Face tools
Configure edge deployments for professional applications
Optimize model performance to reduce IoT energy costs
Acquire certification validating LoRA fine-tuning skills

Program

Module 1LoRA Fine-Tuning Fundamentals: Key Concepts and Setup (Python, Hugging Face, IoT Datasets)

Discover the principles of LoRA fine-tuning adapted to IoT, install the environment with essential libraries like Transformers and PEFT, explore real sensor datasets, perform your first practical exercises on pre-trained models, analyze efficiency gains compared to full fine-tuning, produce an initial configuration report validated by the trainer.

Module 2LoRA Fine-Tuning Dataset Preparation: Cleaning and Augmentation (Pandas, Torchaudio for Sensors)

Dive into IoT-specific data preparation, clean raw sensor streams with Pandas and dedicated tools, apply augmentation techniques for MQTT-LoRa streams, test dataset quality via visualizations, integrate real industrial company cases, generate ready-to-use fine-tuning pipelines, evaluate impact on model accuracy in supervised exercises.

Module 3LoRA Fine-Tuning Implementation: Practical Training (Accelerate, Weights & Biases)

Launch your first LoRA trainings on BERT-like models for IoT tasks, configure optimal hyperparameters with Accelerate, monitor via Weights & Biases in real-time, apply to sensor scenarios and LoRa networks, optimize convergence on limited hardware, produce saved checkpoints, analyze metrics for rapid iterations in small groups.

Module 4LoRA Fine-Tuning Optimization: Quantization and Merging (BitsAndBytes, LoRAX)

Advance to optimization with 4-bit quantization via BitsAndBytes, merge LoRA adapters for IoT edge deployment, test on real LoRaWAN simulations, reduce latency by 50% in practical exercises, integrate cross-validation evaluation, prepare models for enterprise production, validate performance via concrete sensor benchmarks.

Module 5LoRA Fine-Tuning Deployment: IoT Integration and Certification (Docker, MQTT Broker)

Deploy your fine-tuned LoRA models in IoT environments via Docker and MQTT brokers, integrate live sensors for end-to-end tests, secure APIs for professional use, measure ROI in data cost reduction, finalize a personal capstone project, obtain Qualiopi certifying attestation, benefit from a post-training plan for lasting skills.

Evaluation method

Daily interactive quizzes on remote platforms
Final LoRA fine-tuning project applied to a real IoT case
Continuous evaluation by expert trainers and peer review

Learning method

Practical methods with 70% time on real LoRA exercises
IoT company case studies with anonymized data
Video replay support and dedicated Discord post-training
Personalized adaptation to beginner remote pace

Methods, materials and delivery

The Training LoRA Fine-Tuning - Efficiently Adapt AI for IoT 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 - Efficiently Adapt AI for IoT 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 - Efficiently Adapt AI for IoT 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 python, hugging Face, ioT Datasets, pandas, torchaudio for Sensors and accelerate. Those tools come from the LoRA Fine-Tuning program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.

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

They can master the fundamentals of LoRA fine-tuning in certified professional training, develop skills to adapt AI models to concrete IoT use cases and design optimized fine-tuning pipelines for enterprise use. 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: Key Concepts and Setup (Python, Hugging Face, IoT Datasets). Day 2: LoRA Fine-Tuning Dataset Preparation: Cleaning and Augmentation (Pandas, Torchaudio for Sensors). Day 3: LoRA Fine-Tuning Implementation: Practical Training (Accelerate, Weights & Biases). Day 4: LoRA Fine-Tuning Optimization: Quantization and Merging (BitsAndBytes, LoRAX). Day 5: LoRA Fine-Tuning Deployment: IoT Integration and Certification (Docker, MQTT Broker). The LoRA Fine-Tuning program runs over 5 days, delivered on site.

How is LoRA Fine-Tuning training assessed?+

Assessment relies on daily interactive quizzes on remote platforms, final LoRA fine-tuning project applied to a real IoT case and continuous evaluation by expert trainers and peer review. 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?+

5 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?+

Basic Python programming skills, elementary machine learning concepts, installed development environment.

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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