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Training LangSmith - Mastering LLMs for Secure Pentest

Ref: SXE229
10 people max.
5500€ 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
5 journées
distanciel

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Learning objectives

  • Master LangSmith for tracing and debugging LLM chains in a professional cybersecurity context
  • Develop autonomous AI agents optimized for pentest and ethical hacking scenarios
  • Implement custom datasets in LangSmith to train secure SOC models
  • Design automated LLM performance evaluations tailored to CERT enterprise needs
  • Optimize collaborative workflows with LangSmith for certifying cybersecurity teams
  • Deploy robust LLM applications integrating advanced security measures
  • Acquire certifying skills in professional use of LangSmith for pentest

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.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1LangSmith Fundamentals: Advanced Configuration and LLM Tracing for Pentest (LangChain Tools, Dashboards)

Discover LangSmith's essential tools for initializing cybersecurity projects, configure detailed traces on LLM chains simulating attacks, explore interactive dashboards for real-time performance analysis, complete practical exercises on real vulnerability datasets, produce your first SOC-adapted tracing reports, integrate custom callbacks to monitor ethical hacking flows.

Module 2LangSmith Datasets and Evaluations: Creation for Ethical Hacking (Custom Datasets, Evaluators)

Dive into advanced dataset management with LangSmith, create datasets specific to pentest scenarios, implement custom evaluators to validate LLM robustness against injections, test on real zero-day attack cases, analyze precision and recall metrics, generate deliverables like automated benchmarks for CERT reports, optimize rapid iterations for accelerated professional training.

Module 3Autonomous LangSmith Agents: Development for SOC & CERT (ReAct, Custom Tools)

Build advanced AI agents via LangSmith using ReAct architecture for pentest simulations, integrate custom tools like Nmap and Metasploit into LLM chains, debug unexpected behaviors live during malware analysis, conduct collaborative exercises on secure virtual environments, produce deployable agents for SOC monitoring, evaluate autonomy via detailed tracing, apply to real enterprise cases.

Module 4Collaborative LangSmith Workflows: Optimization for Cybersecurity Teams (Sharing, Versioning)

Master LangSmith project sharing for ethical hacking teams, configure advanced versioning of runs and datasets, collaborate in real-time on complex pentest traces, integrate automated feedback for rapid iterations, test on multi-user CERT scenarios, generate consolidated reports for internal audits, deploy CI/CD pipelines tailored to certifying training needs, secure access with enterprise protocols.

Module 5LangSmith Deployment and Security: LLM Production for Pentest (Deployments, Guards)

Finalize with scalable deployment of LLM chains via LangSmith, implement security guards against jailbreaks in cyber contexts, monitor SOC production performance, optimize costs and latency for critical environments, complete a capstone project on a full AI-assisted pentest, produce a certifying portfolio with traces and evaluations, prepare enterprise integration with secure APIs.

Evaluation method

  • Daily interactive quizzes on LangSmith and cyber applications
  • Practical case studies in pentest with personalized feedback
  • Final project: Deployed LLM agent for SOC & CERT scenario

Learning method

  • 70% hands-on practice: exercises on real cyber environments
  • 30% theory: advanced LangSmith concepts adapted to cybersecurity
  • Small group work for collaborative simulations
  • Unlimited access to the LangSmith platform for 6 months post-training

Methods, materials and delivery

The Training LangSmith - Mastering LLMs for Secure Pentest 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 LangSmith - Mastering LLMs for Secure Pentest 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 LangSmith - Mastering LLMs for Secure Pentest 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
★★★★★

« 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
★★★★★

« 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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