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Training Elasticsearch 2026 - Mastering High-Performance Full-Text Search

Ref: EJK772
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 the installation and configuration of Elasticsearch 2026 in a professional environment
  • Develop advanced skills in full-text indexing and querying for optimal performance
  • Design data pipelines with Elasticsearch 2026 for scalable applications
  • Optimize Elasticsearch clusters in enterprise settings for high availability
  • Implement certified monitoring and security solutions with Elasticsearch
  • Integrate Elasticsearch 2026 into modern stacks to boost team productivity

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 1Elasticsearch 2026 Fundamentals: Installation and Initial Configuration (Clusters, Nodes, Indices)

Discover the quick installation of Elasticsearch 2026 on dedicated servers, configure initial clusters with high availability, create your first optimized full-text indices, perform performance tests via Kibana, set up advanced mappings to structure your JSON data, and validate configurations through practical exercises on real business cases. Deliverable: functional cluster ready for use.

Module 2Advanced Indexing in Elasticsearch 2026: Ingest Pipelines and Transformations (Analyzers, Processors)

Dive into ingest pipelines to transform data in real-time, configure custom analyzers for French and multilingual support, index massive volumes of logs and documents, test data aggregation through collaborative exercises, optimize indexing performance on real datasets, integrate processors for normalization, and produce a performance report. Deliverable: scalable indexing pipeline.

Module 3Complex Queries in Elasticsearch 2026: Query DSL and Aggregations (Bool, Nested, Percolator)

Master Query DSL for precise full-text searches, build boolean and nested queries for complex business cases, explore advanced aggregations for real-time analytics, practice on e-commerce datasets via Kibana Dev Tools, benchmark query performance, integrate percolators for dynamic alerts, and analyze results in groups. Deliverable: optimized queries dashboard.

Module 4Scaling and Optimization in Elasticsearch 2026: Sharding, Replicas, Tuning (JVM, Cache)

Learn to scale clusters with intelligent sharding and automated replicas, tune JVM parameters for extreme loads, optimize caches and refresh intervals via X-Pack monitoring, simulate traffic spikes in practical exercises, resolve common production bottlenecks, configure cloud auto-scaling, and measure performance gains. Deliverable: high-load optimized cluster.

Module 5Security, Monitoring, and Integrations in Elasticsearch 2026: X-Pack, Beats, Logstash (RBAC, ML)

Implement RBAC and SSL security for enterprise environments, deploy Beats and Logstash for complete ELK Stack, configure advanced monitoring with Machine Learning for anomalies, integrate with Kafka and web applications via REST API, complete a final project on a concrete SIEM case, test real-time alerts, and prepare for production deployment. Deliverable: secure and monitored ELK stack.

Evaluation method

  • Daily interactive quizzes to validate theoretical knowledge
  • Final practical project on a real Elasticsearch cluster, evaluated by trainers
  • Qualiopi certificate issued with skills certification evaluation

Learning method

  • Active pedagogical methods: 70% hands-on, 30% theory
  • Hands-on exercises on dedicated machines in-person
  • Real-world case studies from leading French companies
  • Unlimited access to labs and resources post-training for 6 months

Methods, materials and delivery

The Training Elasticsearch 2026 - Mastering High-Performance Full-Text Search 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 Elasticsearch 2026 - Mastering High-Performance Full-Text Search 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 Elasticsearch 2026 - Mastering High-Performance Full-Text Search 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
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« 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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