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Training LangSmith 2026 - Mastering Forensic Observability of LLMs

Ref: XDM641
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 2026 to trace LLM executions in a professional forensic context
  • Develop certifying skills in automated evaluation of chains for malware analysis
  • Implement advanced datasets in the company to optimize incident response
  • Configure real-time monitoring to detect anomalies in LLM agents
  • Optimize digital investigation workflows with collaborative LangSmith tools
  • Deploy secure production pipelines adapted to corporate forensic needs

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 2026 Fundamentals: Installation and Initial Tracing (Python Tools, LangChain)

Discover the novelties of LangSmith 2026 through guided remote installation, set up your personal forensic project, trace your first LLM chains to analyze simulated malware logs, complete practical exercises on the intuitive web interface, export your first traceability reports, integrate callbacks to monitor agent investigation performance live, and consolidate your skills with a concrete cybersecurity incident case.

Module 2Datasets and Annotation in LangSmith 2026: Forensic Data Preparation (Labeling Methods, API)

Dive into creating specialized datasets for malware evaluation, use the LangSmith API to annotate LLM execution traces, test collaborative workflows in a virtual team, analyze real malware samples via optimized prompts, generate precise metrics on detection accuracy, export production-ready datasets, and apply these skills to a corporate digital investigation scenario with personalized trainer feedback.

Module 3Advanced Evaluation in LangSmith 2026: Automated Tests (Custom Evaluators, Benchmarks)

Master custom evaluators to validate LLM responses in incident response contexts, set up benchmarks on forensic datasets, run parallel tests to accelerate threat analysis, visualize chain weaknesses via interactive dashboards, iteratively optimize prompts with automated feedback, integrate security metrics like injection robustness, and conclude with a practical exercise on a simulated incident with a certifying evaluation deliverable.

Module 4Monitoring and Debugging in LangSmith 2026: Anomaly Detection (Alerts, Replays)

Implement real-time monitoring for LLM agents in forensic production, configure alerts for performance deviations during malware analyses, use replays to debug complex executions, analyze detailed spans to identify investigation bottlenecks, test secure guards against LLM jailbreaks, collaborate via the shared hub for team reviews, and produce an operational monitoring report applicable immediately in the company.

Module 5Production Deployment in LangSmith 2026: Secure Pipelines (CI/CD Integrations, Scalability)

Deploy complete LangSmith pipelines in a corporate environment, integrate with CI/CD for smooth updates in forensic contexts, scale for massive incident trace volumes, secure access with advanced RBAC, automate reports for Qualiopi compliance, simulate a full-scale deployment on a ransomware attack case analyzed by LLM, finalize with a capstone project deliverable, earn your certification badges, and plan post-training follow-up.

Evaluation method

  • Daily interactive quizzes on LangSmith 2026 novelties
  • Forensic case studies with malware analysis via LLM
  • Final project: complete certifying incident response pipeline

Learning method

  • 70% hands-on practice on real digital investigation exercises
  • 30% theory adapted to intermediate level
  • Unlimited access to the LangSmith platform for 6 months
  • Replay videos and complementary forensic resources

Methods, materials and delivery

The Training LangSmith 2026 - Mastering Forensic Observability of LLMs 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 2026 - Mastering Forensic Observability of LLMs 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 2026 - Mastering Forensic Observability of LLMs 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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