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.
Participants discover the basics of supervised fine-tuning (SFT) applied to blockchain projects. Through demonstrations in Python and Hugging Face, they explore dataset preparation, supervised training principles, and practical exercises on simple Web3 cases. The day ends with a first fine-tuned model delivered and analyzed collectively.
This day focuses on the concrete application of supervised fine-tuning (SFT) to DeFi use cases. Learners use LoRA and evaluation tools to refine models on blockchain financial data. Practical iterations enable measurable deliverables and hyperparameter optimization in a professional context.
Participants finalize their project by deploying an SFT model on blockchain infrastructure. They integrate APIs, configure monitoring, and validate performance on real scenarios. The training concludes with a presentation of deliverables and the awarding of a recognized certifying certificate.
The Training Supervised Fine-Tuning (SFT) - Optimizing Your AI Models 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.
For the smooth delivery of the Training Supervised Fine-Tuning (SFT) - Optimizing Your 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) - Optimizing Your 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.
Registration is possible up to 48 business hours before the start of training. All our programs are eligible for corporate training budgets and employer-funded plans.
« 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.
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement BlockchainIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
Développement WebIndustry-certified
CryptographieIndustry-certified
CryptographieIndustry-certified
CryptographieIndustry-certified
CryptographieIndustry-certified
CryptographieIndustry-certified
CryptographieIndustry-certified
Analyse de DonnéesIndustry-certified
Analyse de DonnéesIndustry-certified
Analyse de DonnéesIndustry-certified
Analyse de DonnéesIndustry-certified
Analyse de DonnéesIndustry-certified
Analyse de DonnéesIndustry-certified30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.