Training Model Distillation - Compact AI for Production 2026

$1,155

  • 1 day
  • Onsite
  • 10 people max.
Ref: SFU480
10 people max.
$1,155
In-company rate: from $2,195 for the whole team
On-site and certification exam on quote
1 day
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering model distillation, your AIs stay massive and costly, consuming up to 10 times more GPU resources, or 5000€ more per month on AWS or GCP for a standard deployment.

  • High latencies drive 45% user abandonment in mobile and edge applications, directly hitting revenue.

  • In 2026, 82% of AI projects fail in production due to lack of lightweight models, according to Gartner, holding back your company's competitiveness and exposing data scientists to professional obsolescence.

  • Every quarter without these skills widens a 30% efficiency gap with market leaders who deploy optimized AIs at scale.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

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  • Microsoft
  • Atos

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

Model Distillation training objectives

  • Master model distillation to create lightweight and performant AIs
  • Develop teacher-student knowledge transfer techniques in a business setting
  • Implement advanced distillation with custom loss functions
  • Optimize models for edge and cloud deployment in 2026
  • Design certified professional distillation pipelines
  • Evaluate and deploy distilled models with measurable performance gains
  • Acquire AI compression skills for real-world projects

Program

Model Distillation curriculum: 1 module over 1 day

Module 1 : Model Distillation: Advanced Techniques 2026 (PyTorch, TensorFlow, Production Optimization)

Dive into setting up a complete distillation pipeline, starting from a pre-trained teacher model on massive datasets, knowledge transfers via soft labels and aligned feature maps, use of PyTorch Distillation and TensorFlow Model Optimization Toolkit to compress up to 90% of the size without loss of accuracy, practical exercises on concrete cases like image classification or real-time NLP, creation of your deployable student model for edge computing, comparative performance evaluation with precise metrics, and development of a certified optimization plan for your professional projects.

How Model Distillation skills are assessed

  • Technical MCQ on distillation principles at the end of the session
  • Evaluation through development of a practical distilled model
  • Analysis and presentation of the personal project with expert feedback

How the Model Distillation course is taught

  • Sessions led by an active Qualiopi-certified ML expert
  • Intensive hands-on exercises on authentic business cases
  • Red thread project distilling a real AI model
  • Digital learning materials provided to each participant

Model Distillation training: access and practical arrangements

The Training Model Distillation - Compact AI for Production 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 Model Distillation - Compact AI for Production 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 Model Distillation - Compact AI for Production 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

How Learni guarantees the quality of your Model Distillation training

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

Model Distillation: frequently asked questions

Which tools are used in Model Distillation training?+
Hands-on work runs on pyTorch, tensorFlow and production Optimization. Those tools come from the Model Distillation program itself, delivered on site over 1 day, so participants practise on the stack they will use at work.
What can participants do after Model Distillation training?+
They can master model distillation to create lightweight and performant AIs, develop teacher-student knowledge transfer techniques in a business setting and implement advanced distillation with custom loss functions. Those are the stated objectives of the Model Distillation program at Intermediate level, checked by the end-of-session assessment.
How is Model Distillation training assessed?+
Assessment relies on technical MCQ on distillation principles at the end of the session, evaluation through development of a practical distilled model and analysis and presentation of the personal project with expert feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Model Distillation program, which an L&D team can file as evidence.
How much does Model Distillation training cost per participant?+
Model Distillation training costs $1,155 per participant. For an in-company team, the flat rate starts at $2,195 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Model Distillation training take?+
1 day, 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 Model Distillation 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 Model Distillation training?+
Mastery of Python, PyTorch or TensorFlow, basics of deep learning and neural networks.
Is a certificate issued after Model Distillation 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.
Does Learni provide the equipment for Model Distillation training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere

Let's build your Model Distillation learning path.

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