Training Model Distillation - Optimizing ML Performance

Specialist course · Minimum level required

$6,300

  • 4 days
  • Onsite
  • 10 people max.
Ref: SEK281
10 people max.
$6,300
In-company rate: from $10,710 for the whole teamExpertise rate: $1,575 per day, reflecting the difficulty level
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that neglect model distillation face high inference costs and significant latencies.

  • According to recent studies, 65 % of ML projects in production fail to scale because of models that are too large.

  • This gap hinders competitiveness and limits opportunities for deployment on lightweight infrastructures.

  • Professionals without these skills risk falling behind in their careers amid growing demand for effective MLOps.

  • Act now to secure your projects.

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

41,259 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

  • OpenAI
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  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Model Distillation training objectives

  • Master advanced model distillation techniques in a professional training setting
  • Develop skills to effectively compress ML models in an enterprise context
  • Design MLOps pipelines integrating distillation for optimized deployments
  • Implement knowledge transfer strategies between complex and lightweight models
  • Optimize performance and reduce inference costs in production
  • Certify acquired skills through concrete projects tailored to professional needs

Program

Model Distillation curriculum: 4 modules over 4 days

Module 1 : Theme: Foundations of Model Distillation (TensorFlow, PyTorch, Practical Cases)

Participants explore the principles of model distillation with concrete examples in TensorFlow and PyTorch. They analyze knowledge transfer methods, complete practical exercises on pre-trained models, and produce an initial simple compression deliverable.

Module 2 : Theme: Advanced Model Distillation Techniques (Optimization, Benchmarks, MLOps Tools)

This day deepens understanding of advanced distillation algorithms. Learners compare strategies on real datasets, use MLOps monitoring tools, and generate performance reports with key metrics for enterprise use cases.

Module 3 : Theme: MLOps Integration and Deployment of Distilled Models (Pipelines, Testing)

Professionals build complete pipelines incorporating distillation. They deploy optimized models to target environments, perform inference testing, and deliver a production-ready architecture with technical documentation.

Module 4 : Theme: Certification Projects in Model Distillation (Evaluation, Scaling)

Participants finalize an enterprise project applying all acquired skills. They present their distilled solutions, receive expert feedback, and validate their skill development during a final evaluation session.

How Model Distillation skills are assessed

  • Daily quizzes on key concepts
  • Practical project at the end of the training
  • Self-assessment of technical deliverables

How the Model Distillation course is taught

  • Guided exercises on TensorFlow and PyTorch
  • Real-world MLOps use cases
  • Collaborative work in small groups
  • Personalized feedback from the expert

Model Distillation training: access and practical arrangements

The Training Model Distillation - Optimizing ML Performance 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 ML Performance 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 ML Performance 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 tensorFlow, pyTorch, practical Cases, optimization, benchmarks and MLOps Tools. Those tools come from the Model Distillation program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Model Distillation training?+
They can master advanced model distillation techniques in a professional training setting, develop skills to effectively compress ML models in an enterprise context and design MLOps pipelines integrating distillation for optimized deployments. Those are the stated objectives of the Model Distillation program at Advanced level, checked by the end-of-session assessment.
What does the Model Distillation program cover, day by day?+
Day 1: Theme: Foundations of Model Distillation (TensorFlow, PyTorch, Practical Cases). Day 2: Theme: Advanced Model Distillation Techniques (Optimization, Benchmarks, MLOps Tools). Day 3: Theme: MLOps Integration and Deployment of Distilled Models (Pipelines, Testing). Day 4: Theme: Certification Projects in Model Distillation (Evaluation, Scaling). The Model Distillation program runs over 4 days, delivered on site.
How is Model Distillation training assessed?+
Assessment relies on daily quizzes on key concepts, practical project at the end of the training and self-assessment of technical deliverables. 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 $6,300 per participant. For an in-company team, the flat rate starts at $10,710 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?+
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 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?+
Confirmed mastery of Python, practical experience with TensorFlow or PyTorch, solid foundations in machine learning and model optimization.
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.

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

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