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.
Trusted by — schools, companies and industrial groups
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 engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
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.
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, 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
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
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.
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.
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.
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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FAQ
Frequently asked questions
How much does the Training Prompt Injection Detection - Securing LLMs in 2026 training cost?+
The individual price is $6,431, and the team / on-site price is $16,079 (USD). A detailed quote is sent within one business day.
How long is the Training Prompt Injection Detection - Securing LLMs in 2026 training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Experience with LLMs (GPT, Llama), advanced Python and basics in application security
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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