Built for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone
← Back

Training Model Distillation - Optimizing your ML models

Ref: IHR369
10 people max.
From $5,775 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

Share in 2 clicks

EquansEDFPhotowattAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansEDFPhotowattAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master advanced model distillation techniques for the certification training
  • Develop professional skills in ML model compression
  • Design MLOps pipelines integrating distillation in the enterprise
  • Implement optimization strategies with TensorFlow and PyTorch
  • Optimize performance and reduce deployment costs in production
  • Configure rigorous evaluations to validate distilled models

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

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Fundamentals of model distillation (concepts, TensorFlow, first cases)

Participants explore the theoretical foundations of model distillation, apply knowledge transfer methods on simple networks, use TensorFlow for practical exercises, analyze real business cases and produce an initial compressed model deliverable ready for evaluation.

Module 2Theme: Advanced distillation with PyTorch (architecture, losses, optimization)

This day deepens distillation techniques in PyTorch, includes the design of custom loss functions, practical workshops on complex models, performance comparisons and the creation of documented deliverables tailored to professional enterprise needs.

Module 3Theme: MLOps integration of distillation (pipelines, monitoring, scalability)

Learners integrate distillation into complete MLOps workflows, configure automated pipelines with versioning tools, perform production monitoring exercises, handle real business cases and deliver a functional pipeline optimized for certification training.

Module 4Theme: Multi-model applications and iterative distillation (TensorFlow, PyTorch)

The session covers iterative distillation across multiple architectures, combines TensorFlow and PyTorch in hybrid projects, offers practical exercises on varied datasets, measures performance gains and generates deliverables ready for deployment in a professional context.

Module 5Theme: Final evaluation and deployment of distilled models (MLOps, production)

Participants finalize a complete distillation project, evaluate models with advanced metrics, deploy in a simulated MLOps environment, present their results and receive detailed feedback to validate their new enterprise skills.

Evaluation method

  • Graded practical projects each day
  • Knowledge validation quizzes
  • Final defense of the deliverable

Learning method

  • Guided workshops on real cases
  • Personalized feedback from trainers
  • Access to resources and source codes
  • Qualiopi certification upon completion

Methods, materials and delivery

The Training Model Distillation - Optimizing your ML 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 Model Distillation - Optimizing your ML 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 Model Distillation - Optimizing your ML 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.

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 Model Distillation - Optimizing your ML models training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Training Model Distillation - Optimizing your ML models training?+
The training lasts 5 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?+
Advanced mastery of Python, proven experience with TensorFlow or PyTorch, solid knowledge in model deployment
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

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available