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.
Introduction to the principles of Supervised Fine-Tuning, complete installation of the environment with Hugging Face Transformers and PyTorch, creation of a first SFT project on a pre-trained BERT model, practical exercises to understand the difference between pre-training and fine-tuning, manipulation of public datasets like GLUE, generation of your first model adapted to a simple text classification task, with immediate trainer feedback to consolidate professional basics.
In-depth analysis of data requirements for SFT, hands-on with Pandas and Hugging Face tokenizers to clean and structure your business datasets, use of LabelStudio for efficient supervised example annotation, real-world cases on textual data such as customer feedback, creation of optimized train/validation/test splits, collaborative exercises to produce a dataset ready for fine-tuning, directly enhancing your AI data management skills.
Configuration of the Hugging Face Trainer API to launch supervised fine-tuning on GPU, parameterization of hyperparameters such as learning rate and batch size adapted to professional constraints, practical training on a model like DistilBERT for an NER task, real-time monitoring with TensorBoard, resolution of common pitfalls like overfitting via early stopping, production of saved checkpoints, transforming your ideas into performant and deployable models.
Rigorous evaluation of SFT models with key metrics like accuracy, F1-score, and perplexity on test datasets, before/after fine-tuning comparison to quantify gains, introduction to LoRA for efficient fine-tuning on limited resources, iterative optimization via hyperparameter tuning with Optuna, business case on personalized text generation, exercises to refine your red thread model, ensuring certified performance and immediate business value.
Deployment of SFT models as APIs with FastAPI and Docker for seamless business integration, conversion to ONNX for inference acceleration, end-to-end testing on real scenarios like supervised chatbots, production securing and monitoring with Prometheus, finalization of the red thread project with live deployment, code review and personalized improvement plan, equipping you to innovate rapidly in your professional AI projects.
The Training Supervised Fine-Tuning (SFT) - Adapting Efficient 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.
For the smooth delivery of the Training Supervised Fine-Tuning (SFT) - Adapting Efficient AI Models 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 Supervised Fine-Tuning (SFT) - Adapting Efficient AI Models 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.
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Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
Intelligence ArtificielleIndustry-certified
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Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
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Développement WebIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
Outils collaboratifsIndustry-certified
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Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified
Data ScienceIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.