Elasticsearch Developer I

Live Online & Classroom Certification Training

Master core concepts of elasticsearch to write, search queries, perform text analysis, define mappings, perform aggregations, work with search results, and implement suggesters.

(0.0) 2 Learners
Instructed by SPRINGPEOPLE

No Public/Open-house class on the topic scheduled at the moment!

Course Description


Gain end-end skills to develop elasticsearch applications and solutions. Learn how to define mappings, text analysis, write queries and working with search results.

Define how your documents are stored and indexed as you learn with our certified instructors. Gain ini-depth knowledge on how data replication works in elasticsearch, how data is structured across the cluster and how to perform common tasks while working with search.

Gain practical working knowledge with our cloudlabs to perform various metrics and bucket aggressions on the products, run queries using relevance boosting, sorting, and pagination and how documents are indexed into Elasticsearch are distributed across shards in the cluster.

Be enterprise ready to demonstrate a strong technical ability to manage elasticsearch and write complex analytical queries. 


At the end of Elasticserach Developer training, you will be able to:

  • Develop Elasticsearch applications and solutions
  • Familiarize with the details of text analysis and how to define mappings
  • Use aggregations to analyze the data
  • Gain a holistic understanding of the distributed model of Elasticsearch
  • Write queries, define mappings and custom text analyzers
  • Implement autocomplete and “did you mean” suggesters
  • Sort and paginate search results


  • Classroom Training: 2 Days 
  • Online Training: 12 Hours

 Suggested Audience

  • This course is designed for software developers and engineers who are keen on gaining the skillsets to be an Elasticsearch developer

 Requirements (Classroom Training)

  • Laptop with connectivity to Wifi 
  • Mac, Linux OS, or Windows 7 or later
  • A modern web browser
  • A 64-bit JDK installed (Oracle JDK 1.8u60 or later, or OpenJDK or later
  • At least 20% free disk space

Requirements (Virtual Classroom)

  • We require participants to download the latest version of Chrome or Firefox. (Safari isn’t 100% supported in the virtual environment)
  • The virtual classroom uses lots of JavaScript. We recommend that you disable any ad-blockers (some interfere with the virtual classroom) and that you restart your Web Browser before logging in.
  • Computer with a stable Internet connection
  • Mac, Linux OS, or Windows 7 or later




  • No prior knowledge of Elasticsearch is required
  • Students should be software developers familiar with programming concepts
  • Students should be familiar with running commands from a command line or terminal

Course Curriculum

Expand All
  • Learn about Elasticsearch and Lucene, the components of Elasticsearch, and how to index documents using the REST and Bulk APIs
  • Index a dataset, then search the data using Elasticsearch (Lab)
  • Learn how to write and submit queries, how the scoring and relevance of matching documents is calculated, and how to boost relevance at query time
  • Write various queries that search documents using Search API queries like match, range and bool (Lab)
  • We walk through the details of how full text is analyzed and indexed in Elasticsearch, including a discussion of the various analyzers and filters and how to configure them
  • Perform the steps for configuring text analysis in Elasticsearch; use the Analyze API to see how the built-in analyzers work; define custom analyzers by configuring character filters, tokenizers and token filter (Lab)
  • Learn how Elasticsearch mappings are used to define how your documents and fields are stored and indexed, including how to define multi-fields, custom analyzers, and index templates
  • Define a custom mapping for a new index; use an index template to customize a mapping (Lab)
  • Learn how Elasticsearch mappings are used to define how your documents and fields are stored and indexed, including how to define multi-fields, custom analyzers, and index templates
  • See how a terms query works in Elasticsearch; write multi_match and more_like_this queries; see how the fuzziness parameter works and how to highlight search terms (Lab)
  • Understand how Elasticsearch scales and distributes data across a cluster, including a discussion on shards, how to startup a multi-node cluster, and how data replication works in Elasticsearch
  • Startup a multi-node cluster and see how documents indexed into Elasticsearch are distributed across shards in the cluster (Lab)
  • Learn how to perform common tasks when working with search results like sorting, pagination, and performing scroll searches
  • Run queries that involve controlling the results of searches using relevance boosting, sorting, and pagination (Lab)
  • Learn how to provide autocomplete suggestions for users, as well as “did you mean” suggestions when users misspell terms in their queries
  • Implement a “did you mean” and autocomplete solution using suggesters (Lab)
  • An introduction to aggregations, including a discussion the different types of aggregations, how to perform metric and bucket aggregations, and details on how to use some of the more common aggregations
  • Perform various metrics and bucket aggregations on the products index and also on some stock market trade data (Lab)
  • We take a deeper dive into aggregations and discuss scope, using post_filter for faceting, creating histograms, finding the top hits of an aggregation, and an example of the significant terms aggregation
  • Perform various advanced bucket and metrics aggregations on the stocks index (Lab)


SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.


SpringPeople is Official Training Partners of Elastic. 

Click here to download course outline 

You will receive an email 48 hours prior to the start of the course with detail instructions on how to access/download materials on our training portal. Materials will be available for two months which are accessible through training@elastic.co

After completion of the training. Training materials will be available on your dashboard up to two months 

You will receive a certificate of completion once the course is completed an automated email will be sent with a link and instructions on how to download your certificate. You can also log into training.elastic.co to download a copy.


About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More

Course Rating and Reviews


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SPRINGPEOPLE SpringPeople Trainer

Richa Sinha

Course Material:
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There should be an inclusion of the best practices.

SPRINGPEOPLE SpringPeople Trainer

Lohith MV

Tech Lead
Pramata Knowledge Solutions
Course Material:
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I felt course went little slow, we should have covered more topics

SPRINGPEOPLE SpringPeople Trainer

Madhav NV

Product Manager
Sonata Software
Course Material:
Class Experience:

This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the sessions are typically delivered as full day lectures (8-hrs/day) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led classroom sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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