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.
Describe your need, get a tailored program and a pre-filled quote in 3 min. A 100% free call with an advisor.
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
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.
Discover the theoretical basics of model distillation, an essential technique for transferring knowledge from a massive teacher model to a compact student model, using Python and initial TensorFlow tools. Participate in guided exercises on preparing simple datasets, pre-distillation performance analysis, and visualize potential gains in size and speed through concrete image classification cases, with deliverables like an initial evaluation report.
Dive into the practical implementation of model distillation with PyTorch, configuring specific loss functions like KL divergence to align teacher-student predictions. Conduct hands-on workshops on basic CNN models, test various distillation ratios, measure impact on accuracy and latency, and produce a first functional distilled model ready for MLOps integration, with personalized trainer feedback.
Deepen model distillation optimization via TensorFlow, exploring hyperparameters like temperature and alpha to maximize fidelity. Apply these methods to real datasets like CIFAR-10, integrate multi-stage knowledge distillation techniques, evaluate precision/speed trade-offs, and generate convergence visualizations, resulting in a reusable scripted pipeline for business.
Integrate model distillation into complete MLOps workflows with PyTorch and tools like Docker for containerization. Deploy distilled models on edge servers, set up monitoring with Prometheus for traceability, simulate production scenarios with variable loads, test resilience and scalability, and finalize a deployment dossier including ready-to-use REST APIs.
Consolidate your skills through a capstone project on model distillation applied to a concrete business case, such as optimizing an NLP model for mobile, mixing TensorFlow and PyTorch. Develop from A to Z, from training to final evaluation, integrate peer and expert feedback, produce a professional portfolio with source code, quantified metrics, and MLOps recommendations for production deployment.
The Training Model Distillation - Compress ML Models for Production 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.
For the smooth delivery of the Training Model Distillation - Compress ML Models for Production program, the following equipment is required:
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.
Assessment of skills acquired during the Training Model Distillation - Compress ML Models for Production program is performed through:
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.
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.
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
« cool, j'ai appris des trucs »
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
« 😊👍 »
« bien 👍 »
« Allan Busi t'es au top, continue comme ça. formation géniale »
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.
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Machine Learning & MLOpsIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified
Design GraphiqueIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.