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49 Best + Free Elastic Search Courses & Certificates [2026]
Ranked by Michael Kuhlman, CourseDuck's founder, from student reviews across every provider. How we rank
Our top picks
- Complete Guide to Elasticsearch [Udemy]
- Complete Elasticsearch Masterclass with Logstash and Kibana [Udemy]
- Elasticsearch 9 and the Elastic Stack: In Depth and Hands On [Udemy]
- Data Visualization with Kibana [Udemy]
- Getting Started with Elasticsearch [Udemy]
- Data Processing with Logstash (and Filebeat) [Udemy]
- Apache Kafka Series - Kafka Connect Hands-on Learning [Udemy]
- Event-Driven Microservices: Spring Boot, Kafka and Elastic [Udemy]
- Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack [Udemy]
- ElasticSearch, LogStash, Kibana ELK #1 - Learn ElasticSearch [Udemy]
About the best Elastic Search courses
CourseDuck compares the 49 Elastic Search courses listed here, 2 of them free, and ranks them from the 74,000 ratings and reviews their students have left, with the price, length and level of each one side by side. No course pays to be listed or ranked. As featured on Harvard EDU, Stackify and Inc. How we rank
Frequently asked questions
- Udemy and Eduonix are best for practical, low cost and high quality Elastic Search courses.
- Coursera, Udacity and EdX are the best providers for an Elastic Search certificate, as many come from top Ivy League Universities.
- YouTube is best for free Elastic Search crash courses.
- PluralSight, SkillShare and LinkedIn are the best monthly subscription platforms if you want to take multiple Elastic Search courses.
- Independent Providers for Elastic Search courses & certificates are generally hit or miss.
Elasticsearch is a highly scalable open-source full-text search and analytics engine. It allows you to store, search, and analyze big volumes of data quickly and in near real time. It is generally used as the underlying engine/technology that powers applications that have complex search features and requirements.
- Average
- $119,915 a year
- Middle half earn
- $101,500 to $140,000 25th to 75th percentile
- Full range
- $29,000 to $188,500
Share of US job postings in each pay band; the dark bar holds the average, the striped bars the 25th and 75th percentiles. Source: ZipRecruiter salary data, gathered when this guide was first published in January 2021.
Yes and No. Certified Elastic Search developers on average make more money. Having an Elastic Search certificate greatly increases the chance of landing an interview and can open otherwise closed doors. Coursera, Udacity and EdX offer excellent certificate options for impressing your future employers. Eduonix, Udemy and several other providers offer certificates, but they aren't as reputable. If you have a Computer Science Degree, certificates are not as important. Still, many employers won't care about certificates, but rather your interview skills, experience and/or skills assessment.
49 Filtered Courses
1
Complete Guide to Elasticsearch (2026)
4.6
A 13 hour, developer-focused tour of Elasticsearch alone, no Logstash or Kibana, rated 4.6 across 25,000 reviews and praised for teaching the logic behind the queries.
Best for: Developers who want to understand mappings, analyzers and how to improve search results before they write a single query.
Pros
Cons
-
- Theory comes before each query, and one student says it taught the logic behind Elasticsearch, not just how to run it
- Every query from the lectures is in a GitHub repo, which saves time while following along
- Refreshed in January 2026 and still being updated after a decade on Udemy
- Nearly 90 percent of 25,500 ratings are four or five stars
-
- Some sections, joining queries especially, show older syntax that no longer matches the resources
- No coding exercises, only six quizzes, so nothing forces you to write queries unaided
- Several reviewers found it deeper than they needed for basic search
2
Complete Elasticsearch Masterclass with Logstash and Kibana (2025)
4.4
A tight six-hour ELK stack primer from Imtiaz Ahmad that students praise for clarity, held back by videos that still show Elasticsearch 6.
Best for: Developers and sysadmins who want the core Elasticsearch, Logstash and Kibana ideas in a weekend, not an exhaustive reference.
Pros
Cons
-
- Imtiaz's explanations are clear and build one concept on the next, the most repeated praise in reviews
- Only about 6 hours across 29 lectures, so the whole stack fits into a weekend
- Ends with a real project wiring Logstash, Filebeat and Kibana together, not just isolated demos
- 89 percent of its 8,500 reviews are 4 or 5 stars
-
- Videos demonstrate Elasticsearch 6; some Kibana visualizations and settings no longer work in version 9
- Skips scripting, search templates, multi search and deeper Logstash config, which reviewers asked for
- Recorded on a Mac; one reviewer asked for more Windows screen time since few students use Macs
3
Elasticsearch 9 and the Elastic Stack: In Depth and Hands On (2026)
4.4
Frank Kane's whole-stack tour: 14 hours on indexing, search, Logstash, Beats, Kibana and cluster ops, refreshed July 2026 and rated 4.4 by about 6,800 reviewers.
Best for: Developers or ops people who need to run and feed an Elasticsearch cluster, not just write queries against one.
Pros
Cons
-
- Short lectures with public datasets, so every step can be followed along in the VM
- Covers ingestion at scale: Logstash, Filebeat, Spark, Kafka and relational database imports
- Over two and a half hours on operations: monitoring, scaling, rolling restarts and cloud hosting
- Refreshed July 2026, rated 4.4 with nearly nine in ten reviews at four or five stars
-
- Installation is where students get stuck, and a few say their Q&A questions went unanswered
- No Docker setup path and no single repo of commands; one review called the resources scattered
- No quizzes or coding exercises, and one reviewer found the long integrations section a drag
4
Data Visualization with Kibana (2024)
4.5
A tight 5.5 hour tour of Kibana from an instructor reviewers praise, covering visualizations, dashboards and access control, though the 2024 videos now lag behind the current interface.
Best for: Developers who already know some Elasticsearch and want to build dashboards and manage users without sitting through a full ELK course.
Pros
Cons
-
- Bo Andersen builds things step by step; one reviewer went from knowing nothing to confident with visualizations
- Covers users, roles and spaces, so cluster security is included, not just charts
- Short at 5.5 hours, with a 105 minute visualizations section as the core
- 4.5 stars across 5,830 reviews, about 90 percent of them four or five stars
-
- Last updated March 2024, so menus and some visualization options no longer match current Kibana
- Reporting and alerting are listed as outcomes but two reviewers say they are not covered
- No Lens or Canvas, and no quizzes or exercises to practice on
5
Getting Started with Elasticsearch (2018)
3.9
A free 30-minute primer that installs Elasticsearch and runs basic CRUD calls, still useful for vocabulary but recorded on version 2.0 and last touched in 2018.
Best for: Relational database users who want a free half-hour taste of Elasticsearch terminology before buying a longer course.
Pros
Cons
-
- Free and only 30 minutes, so it costs nothing to find out whether Elasticsearch interests you.
- Slides explain the core terms clearly; one reviewer who struggled with the audio still followed along.
- Pace is unhurried and well organized, from starting a node to the first CRUD requests.
- Assumes nothing beyond basic relational database knowledge, no programming needed.
-
- Recorded on Elasticsearch 1.6 and 2.0 and last updated in 2018; the plugin chapter no longer applies.
- Many reviewers found the instructor's accent hard to follow, and only auto-captions are available.
- Covers only basic syntax; no architecture diagrams, no conditional queries, and Windows-only setup.
6
Data Processing with Logstash (and Filebeat) (2021)
4.6
Process data with Logstash, which is a key part of the ELK stack (Elasticsearch, Logstash, Kibana) and Elastic Stack.
What You'll Learn
- Understand the fundamental concepts of Logstash
- Build pipelines that process and manipulates thousands of events
- Send data to Logstash from numerous sources and to several destinations
- Build a fully functional pipeline that handles Apache web server logs
- Process Filebeat events with Logstash
7
Apache Kafka Series - Kafka Connect Hands-on Learning (2026)
4.6
Kafka Connect - Learn How to Source Twitter Data, Store in Apache Kafka Topics & Sink in ElasticSearch and PostgreSQL
What You'll Learn
- Configure and run Apache Kafka Source and Sink Connectors
- Learn concepts behind Kafka Connect & the Kafka Connect architecture
- Launch a Kafka Connect Cluster using Docker Compose
- Deploy Kafka Connectors in Standalone and Distributed Mode
- Write your own Kafka Connector
8
Event-Driven Microservices: Spring Boot, Kafka and Elastic (2026)
4.5
Master event-driven microservices architecture patterns with Spring boot, Spring cloud, Kafka, Elasticsearch, Spring AI
What You'll Learn
- Master Microservices architecture with Spring boot and Spring cloud stack
- Develop Event-driven microservices with Apache Kafka
- Understand Containerization of microservices with Docker and Docker compose
- Learn Basics of Kafka brokers, topics, partitions, producers, consumers, admin client, avro messaging, zookeper and schema registry
- Learn Basics of Elasticsearch, index api and query api
- Implement Kafka based messaging applications with Spring Kafka
- Understand Elasticsearch indexing and queries with Spring Data Elasticsearch
- Implement CQRS pattern with Kafka and Elasticsearch
- Implement Externalize configuration pattern with Spring Cloud Config
- Develop Rest API
- Implement Api versioning for versioning of Rest APIs
- Implement Spring Data JPA with PostgreSQL
- Understand Service Registration and Discovery with Netflix Eureka and Spring cloud
- Implement Client side load balancing with
9
Elasticsearch 8, Kibana, Logstash, Beats: ELK Stack (2026)
4.6
Elasticsearch, Kibana, Logstash, Beats, APM: ELK Stack: querying, visualization, painless, beats and spatial analysis
What You'll Learn
- Understand ELK stack roles, focusing on architecture and data scalability.
- Master indexing, complex searches, and real-time analytics.
- Build interactive dashboards and visualizations in Kibana.
- Implement secure, scalable setups and optimize performance.
10
ElasticSearch, LogStash, Kibana ELK #1 - Learn ElasticSearch (2019)
4.2
Learn software skills with rising demand. ElasticSearch is a core component of ELK stack and an excellent search server
What You'll Learn
- Understand the features and utility of ElasticSearch
- Understand the basic concepts about Big Data
- Install, configure and administer ElasticSearch cluster
11
REST API Management, Monitoring & Analytics using Kong 3 (2024)
4.4
REST API principle & design. Hands-on API management tools with Kong API Gateway, Docker, Zipkin, Elasticsearch, Kibana
What You'll Learn
- Theory & Best Practices about API Management & Design
- Managing API using open-source tools: Kong
- This is NOT a coding course. We will NOT learn how to create REST API here. We will learn how to manage them.
- API Analytics with Elasticsearch, Logstash, and Kibana (ELK Stack)
- Monitor & notify your team real-time when your service is in trouble (e.g. down or high load)
- Trace your API calls that scattered on different machines
- Simple usage of Docker container technology