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Training VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots

Ref: IAO604
10 people max.
From $3,675 HT / per person
On-site on request · +$540 with certification exam
3 days
Remote

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Trusted by — schools, companies and industrial groups
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
Aptar
ArcelorMittal
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Learning objectives

  • Master fine-tuning of VLA models for industrial applications
  • Develop professional skills in adapting robotic models
  • Design certified training pipelines tailored to your company
  • Implement optimized VLA solutions for Industry 4.0
  • Optimize the performance of autonomous robots in real environments
  • Integrate advanced fine-tuning skills into your professional projects
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

  • Companies that fail to master VLA fine-tuning lose competitiveness to automated competitors.

  • According to recent studies, 65% of industrial sites report a 20% productivity lag due to a lack of AI skills.

  • Engineers without these skills see their employability decline rapidly.

  • Not investing in this training exposes your organization to lost contracts and lasting technological lag.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Introduction to VLA fine-tuning and preparation of industrial datasets (Python, Hugging Face, annotation)

Participants discover the fundamentals of Vision-Language-Action models and learn to prepare industrial datasets. They use Python and tools such as Hugging Face to annotate robotic data. Practical exercises on real-world cases enable the creation of corpora suitable for fine-tuning. The day ends with the setup of an initial processing pipeline.

Module 2Theme: Fine-tuning of VLA models and integration with PLCs (Transformers, LoRA, simulation)

This day focuses on the effective fine-tuning of VLA models using techniques such as LoRA. Learners integrate models with PLCs and test scenarios in simulation. Concrete industrial use cases are addressed to validate adjustments. Participants produce an optimized and documented model at the end of the workshops.

Module 3Theme: VLA deployment in production and evaluation of industrial performance (Docker, monitoring, KPI)

The final day covers the deployment of VLA models in a production environment. Tools include Docker for containerization and real-time monitoring solutions. Participants evaluate performance using industrial KPIs and optimize their solution. A complete project deliverable is provided to each learner.

Evaluation method

  • Knowledge validation MCQ after each day
  • Practical fine-tuning project evaluated by the trainer
  • Certificate of professional training

Learning method

  • Alternation of theory and intensive practical workshops
  • Access to a resources platform and source codes
  • Personalized feedback on participants' projects
  • Post-training follow-up for 30 days

Methods, materials and delivery

The Training VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots 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 VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots 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 VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots 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 VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots training cost?+
The price is $3,675 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training VLA Industrial Fine-Tuning - Optimizing Your Autonomous Robots training?+
The training lasts 3 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?+
Intermediate knowledge of Python, machine learning basics and experience with industrial PLCs or robots.
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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