Elasticsearch Course Online

11 Lesson

25 Hours

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igmGuru offers the best Elasticsearch Training course worldwide. Our comprehensive program covers essential topics such as Elasticsearch architecture, indexing, querying with Query DSL, aggregations, cluster management, Kibana visualizations and more. The modules of our Elasticsearch certification course are designed by highly experienced data engineers and search technology experts with over 15 years of industry experience.

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Elasticsearch Training Overview

Enroll now in our Elasticsearch course to gain hands-on experience through live interactive sessions, real-world projects, and expert mentorship. We have successfully trained over 500 professionals through this skill-driven, practical learning program. This course is fully aligned with the latest Elastic certification exam objectives, preparing you to confidently attempt and pass the official certifications.

Prerequisites

Basic understanding of search concepts
Basic knowledge of databases
Familiarity with JSON
Basic programming concepts
Command-line basics

What Will You Learn

Installing and Running Elasticsearch
Cluster, Node, Index, Shards, and Replicas
Basic Elasticsearch Configuration
Elasticsearch REST API Basics
Understanding Mapping and Data Types
Dynamic vs Explicit Mapping
Updating Mappings
Search APIs and Lucene Query Syntax
Query DSL (Domain Specific Language)
Filtering and Sorting Results
Introduction to Aggregations
Nested Aggregations
Pipeline Aggregations
Installing and Configuring Kibana
Visualizing Aggregated Data
Monitoring Cluster Health
Using Elasticsearch APIs for Debugging
Elasticsearch Security Features
Integrating with LDAP/Active Directory
Geo Queries and Geo Aggregations
Integrating with Python, Java, etc.
Building Search Applications

Who Should Do This Course

Software Developers
Backend Developers
Full-Stack Developers
DevOps Engineers
Site Reliability Engineers (SREs)
Data Engineers
Cloud Engineers
System Administrators
Database Administrators
Search Engineers

Key Features

100% Money-Back Guarantee
Flexible Schedule
24 X 7 Lifetime Support
100% Job Assistance
Experienced & Professional Trainers
1 On 1 Training Option Available

Elasticsearch Course Modules

Lesson 1 - Introduction to Elasticsearch

1. What is Elasticsearch?

2. Use Cases and Features

3. Overview of the ELK Stack

4. Architecture and Core Concepts

5. Installing and Running Elasticsearch

Lesson 2 - Getting Started

1. Cluster, Node, Index, Shards, and Replicas

2. Basic Elasticsearch Configuration

3. Indexing Documents

4. Retrieving Documents

5. Elasticsearch REST API Basics

Lesson 3 - Mapping and Indexing

1. Understanding Mapping and Data Types

2. Dynamic vs Explicit Mapping

3. Custom Analyzers and Tokenizers

4. Index Templates

5. Updating Mappings

Lesson 4 - Searching and Querying

1. Search APIs and Lucene Query Syntax

2. Query DSL (Domain Specific Language)

3. Match, Term, Range, and Boolean Queries

4. Filtering and Sorting Results

5. Pagination and Relevance Scoring

Lesson 5 - Aggregations and Analytics

1. Introduction to Aggregations

2. Bucketing and Metrics

3. Nested Aggregations

4. Date Histograms and Range Aggregations

5. Pipeline Aggregations

Lesson 6 - Working with Kibana

1. Installing and Configuring Kibana

2. Discover, Visualize, Dashboard

3. Dev Tools and Console

4. Visualizing Aggregated Data

Lesson 7 - Index Management and Performance Tuning

1. Index Lifecycle Management (ILM)

2. Shard Allocation and Rebalancing

3. Segment Merging

4. Caching Mechanisms

5. Best Practices for Performance

Lesson 8 - Monitoring and Troubleshooting

1. Monitoring Cluster Health

2. Logging and Auditing

3. Common Errors and Fixes

4. Slow Log Analysis

5. Using Elasticsearch APIs for Debugging

Lesson 9 - Security and Access Control

1. Elasticsearch Security Features

2. Authentication and Authorization (RBAC)

3. TLS/SSL Configuration

4. Secure Access via API

5. Integrating with LDAP/Active Directory

Lesson 10 - Advanced Elasticsearch

1. Index Aliases

2. Percolator Queries

3. Geo Queries and Geo Aggregations

4. Machine Learning Features

5. Cross-Cluster Search and Replication

Lesson 11 - Integrations and Ecosystem

1. Using Logstash for Data Ingestion

2. Beats (Filebeat, Metricbeat) Overview

3. Integrating with Python, Java, etc.

4. Elasticsearch with Hadoop and Spark

5. Elasticsearch with Docker and Kubernetes

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Elasticsearch Certification Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 25 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 23 Jul 2026
Weekday Batch 27 Jul 2026
Weekend Batch 25 Jul 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

Elasticsearch Certification Exams

Certification Names

Elastic Certified Engineer, Elastic Certified Analyst, Elastic Certified Observability Engineer

Exam Format

Duration: 90 minutes (standard for all Elastic certifications)
Number of Questions: Varies by exam, typically a set of hands-on tasks in a lab environment
Passing Score: Not publicly disclosed (commonly estimated around 70%)
Type: Hands-on practical exam in a live Elastic environment.
Mode: Online proctored via Elastic Certification Platform (worldwide access, webcam required)

Exam Cost

Elastic Certified Engineer: Approximate $400 USD
Elastic Certified Analyst: Approximate $200–300 USD
Elastic Certified Observability Engineer: Approximate $400 USD

(Prices may vary slightly based on region or promotional offers)

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Elasticsearch Course Online