30 Best + Free Elastic Search Courses & Certification [2020][UPDATED]

As featured on Harvard EDU, Stackify and Inc - CourseDuck identifies and rates the Best Elastic Search Courses, Tutorials, Providers and Certifications, based on 12,000+ student reviews, public mentions, recommendations, ratings and polling 5,000+ highly active StackOverFlow members. Learn more

💻 Which Elastic Search Course Provider is best for me?
  • Udemy and Eduonix are best for practical, low cost and high quality Elastic Search courses.
  • Coursera, Udacity and EdX are the best providers for a 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.
💼 What is Elastic Search used for?
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.
💰 How much do Elastic Search developers make?
$29,000 - $43,499
4% of jobs
$43,500 - $57,999
5% of jobs
$58,000 - $72,499
4% of jobs
$72,500 - $86,999
5% of jobs
$101,500 is the 25th percentile. Salaries below this are outliers.
$101,500 - $115,999
15% of jobs
The average salary is $119,915 a year
$116,000 - $130,499
24% of jobs
$140,000 is the 75th percentile. Salaries above this are outliers.
$145,000 - $159,499
7% of jobs
$159,500 - $173,999
7% of jobs
$174,000 - $188,500
4% of jobs
US National Average$29,000 $188,500$119,915/year
📃 Is a Elastic Search Certificate worth it?
Yes and No. Certified Elastic Search developers on average make more money. Having a 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.
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84 Filtered Courses
Complete Elasticsearch Masterclass with Logstash and Kibana
provider

1 )

Complete Elasticsearch Masterclass with Logstash and Kibana (2020)

4.4
Learn how to build a search engine and break into big data by mastering Elasticsearch 6, Kibana and Logstash (ELK stack)

iconWhat You'll Learn

  • Build an Elasticsearch 6 cluster from scratch
  • Perform various searches using the query DSL
  • Perform powerful realtime analytics using the Aggregations DSL
  • Combine Filters, Queries and Aggregations and understand document relevancy and searching
Elasticsearch in Action
provider

2 )

Elasticsearch in Action (2016)

4.1
Learn Elasticsearch from scratch with this hands-on course and become an Elasticsearch Jedi.

iconWhat You'll Learn

  • Do create, read, update and delete operations on Elasticsearch
  • Have a good understanding of searching and sorting documents in Elasticsearch
  • Know how mapping and analyzers work and learn how to use them effectively
  • Become an Elasticsearch jedi
Building a Search Server with Elasticsearch
provider

3 )

Building a Search Server with Elasticsearch (2015)

2.8
Build a fully featured and scalable search UI with Elasticsearch.

iconWhat You'll Learn

  • Ingest real data into your index and create a working Elasticsearch cluster
  • Categorize different types of data automatically with Elasticsearch and manage them effectively
  • Work with a variety of queries and learn how and when to use them correctly
  • Implement exciting features that help you search and highlight data
  • Build custom search filters that help you with advanced data search
  • Get to grips with the best practices for separating out the structure of an AngularJS application into its various components
  • Add a bit more to your search server by applying relevancy tuning and addressing security concerns
NodeJS in Action
provider

4 )

NodeJS in Action (2014)

3.3
Complete course to learn Node.JS with integrated with Elasticsearch, Redis, AngularJS, Yeoman, Grunt, PassportJS, etc...

iconWhat You'll Learn

  • Learn NodeJS basics
  • Web Development in NodeJS
  • Elasticsearch integration
  • Redis integration
  • Socket IO integration
  • Authentication system
  • Usage of popular modules like Mongoose, PassportJS, ExpressJS, etc...
  • Database integration
  • Frontend technologies interaction like AngularJS, Yeoman, Grunt
  • Become NodeJs geek
  • Heroku Deployment
  • Elasticsearch Basics
  • MongoDB Basics
Elasticsearch 6.0: Learn Elasticsearch, Kibana from Scratch
provider

5 )

Elasticsearch 6.0: Learn Elasticsearch, Kibana from Scratch (2018)

4.2
Learn Elasticsearch & Kibana from scratch, Store, Search, Visulaize & Analyze Big Data on cluster with Elasticsearch

iconWhat You'll Learn

  • Install, configure and administer Elasticsearch & Kibana
  • Understand the features, advantages and use-cases of Elasticsearch
Logstash Fundamentals Masterclass (elasticsearch, filebeat)
provider

6 )

Logstash Fundamentals Masterclass (elasticsearch, filebeat) (2020)

4.0
Learn Logstash from scratch and operate your own data ingestion pipelines using the ELK stack (elastic search, kibana)

iconWhat You'll Learn

  • Understand the basic concept of Logstash - everything you need to get started
  • Understand the features and utility of Logstash
  • Learn to read the real time logs and put into Elasticsearch
  • Different types of plugins used in the configuration pipeline
  • Install, configure and develop logstash data ingestion pipelines
  • How to create a Logstash pipeline to read logs and ingestion into Elasticsearch
  • Much more...
Learning Path: Elasticsearch Integration with PHP & Laravel
provider

7 )

Learning Path: Elasticsearch Integration with PHP & Laravel (2017)

4.0
Perform advanced search and analytics on your web applications using Elasticsearch

iconWhat You'll Learn

  • Understand how to choose the best Elasticsearch cloud topology to deploy and power it up with external plugins
  • Learn cluster, node and its services
  • Understand and explore replication and sharding
  • Get familiar with fundamental concepts of Elasticsearch
  • Learn to read and write queries using the Elasticsearch Query DSL
  • Understand how to use the command line and sense clients to query the Elasticsearch REST API
  • Learn to integrate the open source Elastica PHP library with your PHP application
  • Learn to use the official Laravel Scout package with an Elasticsearch driver
Elasticsearch 6 and Elastic Stack - In Depth and Hands On!
provider

8 )

Elasticsearch 6 and Elastic Stack - In Depth and Hands On! (2018)

3.0
Use data from any source, in any format, and search, analyze, and visualize it in real time with reliability & security

iconWhat You'll Learn

  • Install and configure Elasticsearch on a cluster
  • Develop an understanding of Elasticsearch dichotomy, Elasticsearch APIs, and how to interact with a cluster via API
  • Dive deeper into Elasticsearch interactions with filers, ranges, matches along with aggregations
  • Probe Elastic Stack and use Kibana, Logstash and filebeats, to develop a pipeline to get data from an external source into Elasticsearch
  • Build an Elasticsearch application
  • Learn how to use Kibana to visualize data and tell data stories in real-time
  • Learn the skills required to instantly search petabytes of data and provide amazing customer interactions
  • Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations
Mastering ElasticSearch
provider

9 )

Mastering ElasticSearch (2017)

1.8
Master ElasticSearch 5.x by optimizing on search, performance, queries and much more

iconWhat You'll Learn

  • A comprehensive review of ElasticSearch technology
  • A deeper dive into the inner workings of ElasticSearch
  • Connecting to and using ElasticSearch
  • Tackling the challenge of ElasticSearch shards
  • Grasping ElasticSearch indexing from the core
  • Learning about ElasticSearch cluster administration
  • Using the Python API for cluster access
  • Let's build an ElasticSearch Plugin
  • Concluding "Mastering ElasticSearch 5.0"
Mastering ElasticSearch 6.x and the Elastic Stack
provider

10 )

Mastering ElasticSearch 6.x and the Elastic Stack (2018)

3.0
Build a complete, open source solution for storing, managing, analyzing, & visualizing structured and unstructured data

iconWhat You'll Learn

  • Understand Elastic Stack from start to finish and be able to jump right into a real work project.
  • Store structured and unstructured data typically found in system events or log files to gain visibility and understanding of your application
  • Learn the skills required to instantly search petabytes of data and provide amazing customer interactions
  • Build a central log collection system
  • Leverage HTTP-based APIs for ElasticSearch insert, query, and configure operations.
  • Take advantage of the huge disk space saving capabilities in ES 6
  • Utilize new features to visualize Logstash pipelines
Learning Path: Elasticsearch and AngularJS: IntraWeb Search
provider

11 )

Learning Path: Elasticsearch and AngularJS: IntraWeb Search (2018)

1.0
Learn how to integrate Elasticsearch in your AngularJS application and boost its scalability and overall performance.

iconWhat You'll Learn

  • Kick-start your application in minutes by scaffolding it entirely with Yeoman
  • All about creating dynamic pages in Angular, specifically but not limited to validation of user data, creating and working with worker threads and AJAX calls, and efficiently handling routing between various pages of the application.
  • The basics of Elasticsearch as well as installing and configuring it.
  • Categorize different types of data automatically with Elasticsearch and manage them effectively.
  • Use the Elasticsearch domain-specific language to create search filters for searching data.
  • Build custom search filters that help you with advanced data search.
  • Get to grips with the best practices for separating out the structure of an AngularJS application into its various components.
  • Add a bit more to your search server by applying relevancy tuning and addressing security concerns.

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