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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
Frequently asked questions
The most-reviewed Elastic Search course in this category is Complete Guide to Elasticsearch by Bo Andersen, with about 25,500 reviews at 4.6 as of October 2026.
Elasticsearch is a search and analytics engine that stores data as JSON documents and makes it fast to search. It is used for site search, log analysis and monitoring, often together with Kibana and Logstash. Courses here cover Elasticsearch, Kibana, Logstash, the ELK stack and monitoring.
- 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 collected in 2020-21, when this FAQ was first written; pay has moved since, so treat it as a rough guide.
Paid Udemy video courses include a certificate of completion when you finish; free courses and practice-test-only courses do not. It shows you did the work, but it is not an accredited qualification.
1
Complete Guide to Elasticsearch (2026)
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.
-
- 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)
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.
-
- 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)
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.
-
- 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)
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.
-
- 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)
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.
-
- 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)
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)
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)
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)
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)
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)
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