🎁Azure · AWS · Google — 1 free certification per learner, up to $400.Get the offer →
← Back

Training Model Distillation 2026 - Creating Lightweight AI Models

Ref: DZY336
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 days
in-person

Share in 2 clicks

EquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnovEquansAptarArcelorMittalUbisoftINSEECLa PlateformeCESIEFREIEPSIINGETISMy Digital SchoolYnov

Learning objectives

  • Master the fundamental principles of model distillation in certified professional training
  • Develop practical skills to distill complex models into lightweight versions
  • Implement distillation techniques with TensorFlow and PyTorch in a business setting
  • Design MLOps pipelines integrating model distillation for rapid production deployment
  • Optimize AI model performance, reducing latency and costs by up to 80%
  • Acquire certified skills to boost your career in Machine Learning

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

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 · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Model Distillation: Theoretical Fundamentals and Key Concepts (TensorFlow Intro)

Discover the basics of model distillation, an innovative technique to compress massive AI models into efficient versions, through interactive courses and concrete examples on standard datasets. Use TensorFlow to model a simple teacher model, train it on classification tasks, analyze initial performance metrics, and prepare the ground for practical distillation, with guided exercises in small groups for rapid assimilation of essential theories.

Module 2Model Distillation: Supervised Techniques with TensorFlow (Practical Exercises)

Dive into supervised distillation methods using TensorFlow, applying specific loss functions like KL divergence on pre-trained models. Conduct hands-on workshops to distill a deep neural network into a compact student model, measure gains in size and speed, test on edge hardware, optimize hyperparameters in real-time, and generate your first functional deliverables ready for deployment, strengthening your professional skills step by step.

Module 3Model Distillation: PyTorch Implementation and Advanced Approaches (Real Cases)

Switch to PyTorch to explore unsupervised distillation and self-distillation on enterprise use cases like computer vision. Code complete scripts transferring knowledge from teacher to student, integrate advanced data augmentation, evaluate robustness with cross-validation, simulate constrained mobile scenarios, produce comparative analysis reports, and consolidate learning through collaborative challenges, aligned with modern MLOps needs.

Module 4Model Distillation: MLOps Integration and Automated Pipelines (DevOps Tools)

Integrate model distillation into complete MLOps workflows, using Docker, Kubernetes, and MLflow to automate training and deployment. Set up CI/CD for distilled versions, monitor drift and performance in production, apply A/B testing on lightweight models, manage versioning with Git, deploy on AWS cloud or edge devices, and validate scalability through team exercises, preparing your skills for a certified enterprise environment.

Module 5Model Distillation: Final Projects and Production Optimization (Certified Deliverables)

Culminate with a personal capstone project: distill a complex LLM or CNN model into an ultra-efficient 2026 version, integrating TensorFlow, PyTorch, and MLOps. Present quantified results on memory reduction up to 90%, test live on real devices, receive expert feedback, finalize professional portfolio with source code and demos, obtain Qualiopi certified attestation, ready for immediate enterprise application.

Evaluation method

  • Daily interactive quizzes on key model distillation concepts
  • Final practical project with complete distillation of a real model
  • Continuous evaluation by certified trainers and group peer-review

Learning method

  • 70% hands-on practice with TensorFlow and PyTorch on real cases
  • 30% applied theory via workshops and immediate feedback
  • Pedagogical method adapted for beginners for rapid skill development
  • Post-training support with resources and alumni community

Methods, materials and delivery

The Training Model Distillation 2026 - Creating Lightweight AI Models program is delivered onsite or remote (blended-learning, e-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 2026 - Creating Lightweight AI 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 2026 - Creating Lightweight AI 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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 24 h · Industry-certified · Corporate funding
WhatsApp