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Training Model Distillation - Optimize AI Models for Production

Ref: EBP945
10 people max.
From $4,410 HT / per person
Pay in 3 installments · On-site on request · +$540 with certification exam
3 days
Remote

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Learning objectives

  • Master advanced model distillation techniques for professional models
  • Develop performant student models from complex teacher models
  • Implement distillation by logits, features, and relations in enterprise contexts
  • Optimize the size and speed of certifying AI models for production
  • Evaluate and deploy distilled models with relevant business metrics
  • Design scalable distillation pipelines for data teams
  • Integrate distillation into secure AI DevOps workflows

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.

Imed BEN AMOR
Imed BEN AMOR

Learni trainer · Development expert

73%productivity gap
×3cost of inaction

Program

Module 1Model Distillation Fundamentals: Teacher-Student Architectures and Advanced Loss Functions (PyTorch, TensorFlow)

Dive into expert principles of model distillation by setting up teacher-student pairs on real datasets like ImageNet or GLUE, implement hybrid KD + CE loss functions to boost accuracy, perform practical exercises on vanilla distillation and temperature scaling, analyze impact on convergence via TensorBoard, produce your first 3x lighter distilled model with annotated source code and initial benchmarks to validate enterprise gains.

Module 2Advanced Model Distillation Techniques: Feature Maps, Relations, and Online Distillation (Hugging Face, ONNX)

Explore feature and inter-layer relation distillation by migrating a BERT teacher to a DistilBERT student on NLP tasks, integrate online distillation for continuous streams with PyTorch Lightning, test on real enterprise cases like anomaly detection or recommendation, optimize hyperparameters via Optuna and grid search, generate comparative performance reports on F1-score and latency, deploy intermediate prototypes in Docker containers to simulate production, transform your skills into immediate assets.

Module 3Model Distillation Deployment: Final Optimization, Evaluation, and Scaling (TensorRT, AWS SageMaker)

Finalize your distilled models by quantizing and pruning via TensorRT for edge devices, evaluate robustness with adversarial attacks and drift detection on custom datasets, integrate into CI/CD pipelines with MLflow and Kubeflow, measure business ROI via reduced cloud costs and increased TPS, complete a full thread project on vision or NLP, defend it with live demo and enterprise rollout plan, leave with a certifying portfolio and Git repo access for quick production replication.

Evaluation method

  • Expert MCQ on distillation techniques and advanced pitfalls
  • Evaluation through practical projects and comparative benchmarks
  • Defense of the distilled thread model with ROI analysis

Learning method

  • Sessions led by active ML trainers from tech leaders
  • Hands-on exercises on real open-source datasets and tools
  • Evolving thread project for professional portfolio
  • Course materials, Jupyter notebooks, and cloud resources included

Methods, materials and delivery

The Training Model Distillation - Optimize AI Models for Production 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 - Optimize AI Models for Production 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 - Optimize AI Models for Production 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 - Optimize AI Models for Production training cost?+
The individual price is $4,410 (USD). A detailed quote is sent within one business day.
How long is the Training Model Distillation - Optimize AI Models for Production 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?+
Expertise in deep learning, PyTorch/TensorFlow, and model optimization
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.

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