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Training Supervised Fine-Tuning (SFT) 2026 - Mastering Secure AI Fine-Tuning

Ref: ULX495
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master the fundamentals of Supervised Fine-Tuning (SFT) to optimize AI models in a professional certifying context
  • Develop practical skills in preparing supervised datasets tailored to cybersecurity
  • Configure SFT pipelines with open-source tools to detect enterprise threats
  • Implement supervised fine-tuning on secure pre-trained models
  • Evaluate SFT performance using precise metrics for certifying applications
  • Integrate SFT into SOC workflows to strengthen professional AI defenses
  • Design SFT projects tailored to business needs in a certifying training

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.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Supervised Fine-Tuning (SFT) Fundamentals 2026: Introduction to Tools and Datasets (Hugging Face, PyTorch)

Discover the basics of Supervised Fine-Tuning (SFT) through practical workshops on Hugging Face and PyTorch, prepare labeled datasets for cybersecurity tasks such as anomaly detection, perform first supervised adjustments on secure BERT models, analyze impacts through guided exercises, produce initial performance reports, while integrating professional best practices for certifying companies.

Module 2SFT Datasets Preparation 2026: Labeling and Cleaning Methods (LabelStudio, Pandas)

Dive into dataset curation for Supervised Fine-Tuning (SFT) 2026 with LabelStudio and Pandas, clean noisy data from SOC logs, label real threats using collaborative tools, simulate Ethical Hacking scenarios to enrich the corpus, test quality via validation scripts, generate datasets ready for fine-tuning, apply techniques to concrete Pentest cases in small groups.

Module 3Advanced SFT Pipelines 2026: Training and Optimization (Transformers, Accelerate)

Build complete Supervised Fine-Tuning (SFT) 2026 pipelines using Transformers and Accelerate, launch distributed training on GPU for cybersecurity models, optimize hyperparameters via practical grid search, integrate defense mechanisms against adversarial attacks, monitor with real-time TensorBoard, deploy SOC & CERT prototypes, validate via industry benchmarks.

Module 4SFT Deployment and Evaluation 2026: Production Integration (Docker, MLflow)

Finalize Supervised Fine-Tuning (SFT) 2026 projects in Docker containers and MLflow tracking, deploy fine-tuned models in simulated SOC environments, evaluate robustness against malicious prompt injections, measure ROI via cybersecurity business metrics, prepare certifying deliverables for the company, review in Q&A sessions, obtain personalized post-training plan.

Evaluation method

  • Daily interactive quizzes on SFT concepts and tools
  • Final project: fine-tuning a model for SOC threat detection
  • Practical evaluation by certified trainer with individual feedback

Learning method

  • 80% hands-on approach with real Ethical Hacking exercises
  • Pentest and SOC & CERT case studies adapted for beginners
  • Qualiopi-certified interactive pedagogical methods
  • Unlimited post-training support with open-source resources

Methods, materials and delivery

The Training Supervised Fine-Tuning (SFT) 2026 - Mastering Secure AI Fine-Tuning 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 Supervised Fine-Tuning (SFT) 2026 - Mastering Secure AI Fine-Tuning 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 Supervised Fine-Tuning (SFT) 2026 - Mastering Secure AI Fine-Tuning 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
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« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
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« 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
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« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
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« 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.

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