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Training Prompt Injection Detection - Securing LLMs in 2026

Ref: VWD915
10 people max.
6125€ 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 advanced prompt injection vectors to protect professional AI applications
  • Develop certified automated prompt injection detectors for enterprise use
  • Implement robust defenses against zero-day attacks in 2026
  • Design secure and scalable prompt validation pipelines
  • Optimize real-time monitoring skills for AI injections
  • Deploy integrated detection solutions in DevOps environments
  • Evaluate countermeasure effectiveness through professional audits

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 1Prompt Injection Detection: Analyze advanced vectors and 2026 vulnerabilities (analysis tools, attack taxonomy)

Dive into the sophisticated mechanisms of modern prompt injections, exploring updated 2026 taxonomies with real cases from affected companies. Use tools like Promptfoo and Garak to dissect jailbreak attacks and indirect payloads. Perform practical dissections on open-source LLMs such as Llama 3. Produce a personalized risk analysis report for your red thread project and integrate early detection metrics to anticipate future evolutions.

Module 2Prompt Injection Detection: Implement heuristics and signatures (Python, advanced regex, basic ML)

Build your first heuristic detectors in Python using libraries like Transformers and LangChain Guardrails. Test signatures against obfuscated and multilingual payloads typical of 2026. Apply exercises to real injection scenarios via chat APIs. Optimize false positives through iterative fine-tuning. Generate deliverables like a plug-and-play validation module and validate effectiveness on public benchmarks to boost your professional AI security skills.

Module 3Prompt Injection Detection: Integrate AI for dynamic detection (discriminant models, embeddings)

Advance to proactive detection with dedicated ML models like fine-tuned BERT or auto-encoders for suspicious embeddings. Integrate these tools into LangChain and Haystack pipelines. Simulate real-time adversarial attacks on deployed LLMs. Analyze 2026 patterns such as multimodal injections. Produce an automatic guardrail prototype with ROC-AUC metrics and apply business cases for immediate securing of your critical AI flows.

Module 4Prompt Injection Detection: Hardening and advanced countermeasures (sandboxing, rate limiting, circuit breakers)

Strengthen your defenses with sandboxing techniques via Docker and intelligent proxies like NeMo Guardrails. Implement adaptive rate limiting and circuit breakers against injection floods. Test on simulated 2026 Kubernetes environments. Develop strategies for rerouting malicious prompts. Generate deployable configurations and incident playbooks, while evaluating business impact through breach avoidance simulations for certified mastery.

Module 5Prompt Injection Detection: Deployment, monitoring and 2026 audits (Prometheus, ELK, Red Team audits)

Finalize your red thread project by deploying a complete detection system on AWS or Azure cloud. Configure monitoring with Prometheus and ELK Stack for real-time injection alerts. Conduct simulated Red Team audits with tools like PromptInject. Optimize performance for enterprise scaling. Produce an executive dashboard and annual maintenance plan. Consolidate your professional skills with certification and post-training support for sustainable security.

Evaluation method

  • Advanced MCQ to validate learning outcomes at the end of the training
  • Continuous assessment through practical detection exercises
  • Defense of the end-to-end detection red thread project

Learning method

  • Courses led by an active AI security expert
  • Practical exercises on real business cases and 2026 attacks
  • Progressive red thread project for a custom detector
  • Complete course materials and open-source resources provided

Methods, materials and delivery

The Training Prompt Injection Detection - Securing LLMs in 2026 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 Prompt Injection Detection - Securing LLMs in 2026 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 Prompt Injection Detection - Securing LLMs in 2026 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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