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Training Semantic Search 2026 - Detecting Vulnerabilities Using Semantic AI

Ref: UBV139
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 vector embeddings for source code analysis in certified professional training.
  • Develop DevSecOps pipelines integrating Semantic Search 2026 to detect OWASP vulnerabilities.
  • Design advanced semantic queries applied to web security in enterprise settings.
  • Implement tools like Pinecone and Weaviate for high-performance secure search.
  • Optimize application security skills through practical certification exercises.
  • Deploy Semantic Search solutions for automated audits in professional contexts.
  • Integrate semantic AI into DevSecOps workflows for proactive protection.

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 1Fundamentals of Semantic Search 2026: Embeddings and Vector Stores (Pinecone, Weaviate, OWASP Integration)

Discover the principles of advanced semantic search with BERT and Sentence Transformers embeddings, applied to vulnerable code analysis according to OWASP Top 10, through practical workshops on real web security datasets. Build your first vector index to detect semantically similar SQL injections, test hybrid queries combining keywords and cosine similarity, and produce an initial potential vulnerabilities report in 7 hours of intensive hands-on.

Module 2DevSecOps Pipelines with Semantic Search 2026: CI/CD Integration (GitHub Actions, Semantic Scans)

Integrate semantic search into DevSecOps pipelines using GitHub Actions and Jenkins, analyze source code in real-time to identify web security flaws like XSS or CSRF via vector similarity, perform exercises on real vulnerable applications, configure automated alerts based on OWASP risk thresholds, optimize performance with vector sharding, and deploy a functional enterprise-ready prototype, all in 7 hours of collaborative practice.

Module 3Advanced Semantic Search 2026 Queries: Fine-Tuning Models (Hugging Face, Contextual Security)

Dive into fine-tuning models like MPNet on custom security datasets via Hugging Face, generate contextualized embeddings for advanced OWASP audits, test multi-modal queries combining text and code metadata, simulate real attacks on web apps to validate semantic detections, analyze false positives with vector debugging tools, produce interactive dashboards with Streamlit to visualize risks, and iterate on optimized models in 7 hours of guided experimentation.

Module 4Production Deployment of Semantic Search 2026: Scaling and Monitoring (Kubernetes, DevSecOps Metrics)

Deploy scalable semantic search clusters on Kubernetes with Prometheus/Grafana monitoring, integrate into DevSecOps workflows for continuous OWASP-compliant scans, measure effectiveness via precision/recall metrics on web security benchmarks, address scaling challenges with advanced RAG, create incident response playbooks based on semantic insights, validate with a simulated enterprise audit, and earn competency certificates in 7 hours of real production implementation.

Evaluation method

  • Daily interactive quizzes on OWASP concepts and semantic search to validate theoretical knowledge.
  • Practical case studies with vulnerability reports detected via vector search.
  • Final DevSecOps project deployed, graded on performance, security, and innovation criteria.

Learning method

  • Alternating theory and practice with 70% hands-on exercises on real tools.
  • Real-world case studies from web security breaches analyzed semantically.
  • Personalized Q&A sessions in remote format tailored to company needs.
  • Post-training resources: source code, tutorials, and alumni community.

Methods, materials and delivery

The Training Semantic Search 2026 - Detecting Vulnerabilities Using Semantic AI 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 Semantic Search 2026 - Detecting Vulnerabilities Using Semantic AI 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 Semantic Search 2026 - Detecting Vulnerabilities Using Semantic AI 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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