There are 50+ courses for Elasticsearch on Udemy, and 35 of these have 4+ ratings. Udemy Elasticsearch courses are suitable for anyone including experienced developers or students who do not have any prior knowledge about Elasticsearch. Elasticsearch is an excellent data search engine and data repository.
The article mentions the best Elasticsearch courses on Udemy as per the student enrollment rate and ratings. Udemy online courses are priced between USD 50 and USD 200, offering flexibility for different budget levels. Students can enroll now and get an exclusive discount of up to 90% off the regular price by clicking the join now links below.
Complete Guide to Elasticsearch
Complete Guide to Elasticsearch is taught by Sergii Demianchuk. This course is designed to be beneficial for both total beginners and individuals who are already working with Elasticsearch but want to expand their applied knowledge. It would be especially beneficial to those who want to construct recommendation systems or sophisticated search mechanisms in the near future.
- Course Rating: 4.5/5
- Duration: 12.5 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 132 video lectures, 4 articles, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| How to use Elasticsearch to create a powerful search engine | Elasticsearch theory and how it works behind the scenes |
| Create complicated search queries | Understand the ideas and vocabulary of Elasticsearch |
Elasticsearch 8 and the Elastic Stack: In-depth, and Hands-on
The course is created by Sundog Education by Frank Kane, Coralogix Ltd. This course focuses on the often-overlooked subject of importing data into an Elasticsearch index. Whether it’s through raw RESTful searches, scripts employing Elasticsearch APIs, or integration with other “big data” systems like Spark and Kafka.
- Course Rating: 4.6/5
- Duration: 15 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 122 video lectures, 5 articles, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Elasticsearch 7 should be installed and configured on a cluster. | Make search indexes and mappings. |
| There are various techniques to search full-text and structured data. | Import data into Elasticsearch using a variety of methods. |
| Connect Elasticsearch to other systems like Spark, Kafka, relational databases, S3, and others. | Utilise buckets and metrics to aggregate structured data. |
| Importing streaming log data into Elasticsearch with Logstash and the “ELK stack” | To import streaming data at scale, use Filebeats and the Elastic Stack. |
| Kibana can be used to analyse and visualise data in Elasticsearch. | Manage Elasticsearch cluster activities in production. |
| Consider using cloud-based solutions such as Amazon’s Elasticsearch Service and Elastic Cloud. | – |
ElasticSearch, LogStash, Kibana ELK #1 – Learn ElasticSearch
The course is created by the Tetra Noodle team And Manuj Aggarwal. This course will concentrate on one such business search engine, Elasticsearch, which is a key component of the ELK stack. The course gives the overview and then dives into the technology that powers this tool.
- Course Rating: 3.8/5
- Duration: 3.25 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 43 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Learn about Elasticsearch’s features and applications. | Understand the fundamentals of Big Data. |
| Elasticsearch cluster installation, configuration, and administration | – |
Elasticsearch Masterclass [Incl., Elasticsearch 7 update]
The course is created by Vinoth Parthasarathy. This course will teach you the fundamentals of Elasticsearch and Apache Lucene. You will also gain a thorough understanding of Elasticsearch searching, and perform real-time analytics on massive amounts of data in Elasticsearch with Kibana.
- Course Rating: 4.9/5
- Duration: 6 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 16 video lectures, 4 articles, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Understanding the fundamental concepts of Elasticsearch and Apache Lucene | The fast Elasticsearch secret and how it works behind the hood |
| Learn everything there is to know about searching in Elasticsearch. | Perform real-time analytics on massive amounts of data and visualise them in Elasticsearch using Kibana. |
| Logstash is used to process data from several sources and destinations. | – |
Elasticsearch in Action
The course is created by Sezin Karli. In this course, you will begin learning Elasticsearch with a gentle introduction in which you will set up your environment and launch your first Elasticsearch node. Following that, it will delve into Create/Read/Update/Delete operations and demonstrate how to perform them in bulk.
- Course Rating: 3.8/5
- Duration: 3 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 34 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Elasticsearch operations include create, read, update, and delete. | Understand how to search for and sort documents in Elasticsearch. |
| Understand how mapping and analyzers operate and how to utilise them effectively. | Learn how to become an Elasticsearch Jedi. |
The Complete Elasticsearch and Kibana Tutorial for Beginners
The course is created by Tutorial Drive. This course will teach you how to install Elasticsearch and connect with it. It will also teach you how to do fundamental tasks such as CRUD, Elasticsearch and other database terminology comparison. You will learn how to install Kibana and interact with it, and how to find documents and extract data from them.
- Course Rating: 4.1/5
- Duration: 3 hours
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 42 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Work with Elasticsearch and Kibana with ease. | Elasticsearch queries for searching and sorting must be written. |
| Use Elasticsearch to do CRUD (create, read, update, and delete) actions. | Understand the ideas and vocabulary of Elasticsearch. |
| Import real-world data into your index and build a functional Elasticsearch Configuring Kibana. | In Kibana, you may create searches and use the Discover tab. |
| Capable of producing numerous forms of visualisations. | Be able to design dashboards. |
Elastic Certified Engineer Exam V8.1 – 2023
The course is created by Deepak Dubey. In this course, you will learn everything you need to know to pass the Elastic Certified Engineer Exam such as Data Management, Searching Data, Developing Search Applications, Data Processing, and Cluster Management.
- Course Rating: 4.2/5
- Duration: 5 hours 54 minutes
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 49 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Learn and Pass Elastic Certified Engineer Exam V8.1 – 2023 Edition | Data Management |
| Searching Data | Developing Search Applications |
| Data Processing | Cluster Management |
Using Elasticsearch and Kibana
The course is created by Loony Corn. This course will teach you how to leverage the power of Elasticsearch in both situations:
- ES technology as a search engine: How search works, The tf-idf technique, Horizontal scaling, and Powerful querying capabilities.
- ES as an OLAP/data warehouse technology: Kibana for data exploration and discovery and CRUD actions including creating, Retrieve, Update, and Delete Aggregations.
- Course Rating: 4.1/5
- Duration: 6 hours 8 minutes
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 59 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Create a comprehensive, scalable search engine for use in online and enterprise apps. | Use the ES Domain Specific Language to query ES. |
| Aggregate data to extract insights and execute analytics on ES. | Python is used to interact with ES. |
ElasticSearch as You Have Never Known It Before
The course is created by Sergii Demianchuk. The course is divided into five units which include fundamentals of Elasticsearch, creating an advanced search engine with a simplified booking.com version, recommendation systems in general, real-world integration with Elasticsearch using PHP, Python, and Java tools, and using ElasticSearch for production.
- Course Rating: 4.1/5
- Duration: 5 hours 43 minutes
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 59 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Fundamental concepts of Elasticsearch | Create complex search systems using Elasticsearch |
| Build recommendation systems using Elasticsearch | Elasticsearch interaction with PHP, Python, and Java libraries |
| How to set up an Elasticsearch HA cluster in production | Elasticsearch in production – how to index millions of documents with the least amount of downtime. |
| Building Microservices | Programming design patterns including the builder pattern and the filter pattern |
| Docker fundamentals | – |
Complete ElasticSearch with LogStash, Hive, Pig, MR & Kibana
The course is created by DataShark Academy. This is a comprehensive Elasticsearch training for both beginners and advanced professionals. You’ll learn how to leverage Elasticsearch with Apache Hadoop and create a variety of real-world big data applications. It also focuses on developing real-world data applications that transport data from one system to another.
- Course Rating: 2.9/5
- Duration: 5 hours 58 minutes
- Price: INR 2,000 – INR 4,000 (click on the join now link to get 90% discount)
- Benefits: 148 video lectures, full lifetime access on mobile and TV, Udemy certification.
Learning Outcomes
| Learn how to integrate Elasticsearch on the Hadoop ecosystem and construct real-world data pipelines for your big data applications to further your career in big data. | Develop a solid grasp of data intake, system integration, full-text search, and data analytics. |
| Develop in-demand skills in data pipeline construction utilising Apache Hive, Pig, MapReduce (Java), and LogStash to index data into Elasticsearch clusters for speedy data analytics and text searches. | Apply for an outstanding job with a fantastic salary to further your career. Kibana may be used to create stunning data visualisations. |
Building a Search Server with Elasticsearch
The course is taught by Daniel Beach, a search architect. It is suitable for web developers. This course teaches how to create a custom search application using Elasticsearch and AngularJS. The course covers Elasticsearch basics, field types, query types, filters, autocomplete, highlighting, and deployment.
- Course Rating: 4.1/5
- Duration: 2 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: Building a Search Server with Elasticsearch
Learning Outcomes
| 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 | – |
Complete Guide to Elasticsearch 8 with Python
The course is designed for individuals with basic programming experience who want to learn how to use Elasticsearch for data storage, search, and analysis. The course is taught by Idan Chen. He is a data scientist. Throughout this course, students will learn to connect to Elasticsearch, insert and query data, and conduct advanced analysis.
- Course Rating: 4.8/5
- Duration: 3 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 23 articles, 24 downloadable resources, access on mobile and TV, certificate of completion
Join Now: Complete Guide to Elasticsearch 8 with Python
Learning Outcomes
| The theory of Elasticsearch and how it works under-the-hood | Working with Elasticsearch and Kibana |
| Writing complex search queries | Connecting to Elasticsearch using Python |
| Being able to search, delete, query, delete and more using the Python client | How to build a powerful search engine with Elasticsearch using Kibana and Python |
| Building OOP classes with Python for connecting to Elasticsearch | Implementing logging and configuration yaml file! |
| Create fake sample data using Python libraries | Using elasticsearch_dsl for creating easy DSL querying using Python |
| Using elasticsearch_helper to insert and get documents efficiently | – |
ElasticSearch 101
The course is a beginner’s guide to Elasticsearch and the Elastic Stack. It focuses on hands-on learning and targets DevOps professionals, IT support engineers, or software developers working with Elasticsearch. The course covers essential concepts including data types, relational and non-relational databases, JSON, and REST APIs. The course is suitable for users familiar with Linux.
- Course Rating: 4.6/5
- Duration: 5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 3 downloadable resources, access on mobile and TV, certificate of completion
Join Now: ElasticSearch 101
Learning Outcomes
| Elasticsearch | Elastic Stack |
| Data Pipelines | Logstash |
| Kibana | Cyber Security |
| Data Transformation | – |
Elasticsearch 7 and the Elastic Stack: in-depth and hands-on
The course is designed for those looking to master Elasticsearch for efficient searching and analysis of large data. It requires access to a PC with 20GB of free disk space and some familiarity with web services, REST, Linux, and JSON-formatted data. The course covers Elasticsearch 7 extensively, discussing topics like search index setup, data querying, security management, data import, data visualization, and operational tasks.
- Course Rating: 3.7/5
- Duration: 16.5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 5 articles, access on mobile and TV, certificate of completion
Join Now: Elasticsearch 7 and the Elastic Stack: in-depth and hands-on
Learning Outcomes
| Install and configure Elasticsearch 7 on a cluster | Create search indices and mappings |
| Search full-text and structured data in several different ways | Import data into Elasticsearch using various techniques |
| Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more | Aggregate structured data using buckets and metrics |
| Use Logstash and the “ELK stack” to import streaming log data into Elasticsearch | Use Filebeats and the Elastic Stack to import streaming data at scale |
| Analyze and visualize data in Elasticsearch using Kibana | Manage operations on production Elasticsearch clusters |
| Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud | – |
Elasticsearch 6 and Elastic Stack – in-depth and hands-on!
This comprehensive course covers Elasticsearch 6 including fundamental components, search techniques, and integration with Elastic Stack components like LogStash, Kibana, and Beats. The course also covers Elastic Stack 6.0 setup and configurations. It is suitable for beginners with no prior knowledge of Elasticsearch or Elastic Stack. It is recommended to have a basic knowledege about JSON to understand the course contents better.
- Course Rating: 4.5/5
- Duration: 12 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: Elasticsearch 6 and Elastic Stack – in-depth and hands-on!
Learning Outcomes
| 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 aggregations | Probe Elastic Stack and use Kibana, Logstash and file beats, 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 to insert, query, and configure operations |
Working with Elasticsearch
This course focuses on searching, aggregating, analyzing, and scaling large volume data stores using Elasticsearch. The course is taught by Radu Gheorghe. The topics covered in this course include installation, configuration, running searches, data structure, queries, relevance, aggregations, document relationships, performance, scaling, and monitoring and administration of Elasticsearch. It is suitable for users familiar with using a UNIX-like terminal on either a PC or Mac.
- Course Rating: 3.4/5
- Duration: 2.5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 article, 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: Working with Elasticsearch
Learning Outcomes
| Learn how to work with Elasticsearch | Once you have completed this training course, you will have gained the knowledge necessary to be able to search, aggregate, analyze, and scale large volume datastores |
Elasticsearch (7.5, 7.12.0) Logstash & Kibana Stack Tutorial
The course is divided into a beginner section and an advanced section. In the beginner section, the course focuses on ELK stack components and Elasticsearch installation on a Windows server. The advanced sections cover data ingestion from various sources using Logstash and Filebeat, data visualization and dashboard creation with Kibana, advanced query techniques including DSL, aggregation, and tokenization, and topics like cluster settings, role security, and monitoring. The course is suitable for Cloud DevOps professionals, ELK learners, and those preparing for ELK-related interviews.
- Course Rating: 4.0/5
- Duration: 3.5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 9 downloadable resources, access on mobile and TV, certificate of completion
Join Now: Elasticsearch (7.5, 7.12.0) Logstash & Kibana Stack Tutorial
Learning Outcomes
| Elasticsearch 7.5, update to 7.12.0 | Apache and Nginx log import via Logstash and Beats |
| Kibana Visualization | Winlogbeat |
| Metricbeat | MySQL and Oracle Data Import into a file and Elasticsearch |
| Data extract from Restful web service and push into Elasticsearch and text file | CRUD operations into Elasticsearch via Rest clients like POSTMAN |
| DSL Query and Aggregation | Tokenizer |
| Learn searching in different languages like English and Hindi | – |
ElasticSearch 6.1 with Beats, Logstash and Kibana
This course is designed for IT software engineers who want to learn Elasticsearch, Logstash, Kibana, and Beats from scratch. The course assumes basic knowledge of JSON message format, data storage, basic Linux commands, and computer networking. It covers the installation and configuration of these tools and teaches how to create a multi-node Elasticsearch cluster, push application log data using Beats to Elasticsearch via Logstash with enrichment, and create Kibana visualizations for dashboards.
- Course Rating: 3.0/5
- Duration: 4.5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 practice test, 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: ElasticSearch 6.1 with Beats, Logstash and Kibana
Learning Outcomes
Details knowledge on Elasticsearch cluster, Logstash, Kibana and beats. How to install and build a cluster.
Mastering ElasticSearch
This course is designed for developers with a basic knowledge of Elasticsearch who want to advance their skills and understanding of Elasticsearch 5.0. It serves as a guide, covering topics such as distributed searching, indexing, optimization, administration, and more. The course is taught by Ethan Anthony who works as a data scientist.
- Course Rating: 4.0/5
- Duration: 3 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: Mastering ElasticSearch
Learning Outcomes
| 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” | – |
Learning Path: The Road to Elasticsearch
This course is suitable for web developers who want learn more about Elasticsearch and the Elastic stack. It assumes a basic knowledge of JavaScript and HTML, as well as some familiarity with HTTP methods. The course covers Elasticsearch fundamentals, the Elastic stack components, and advanced Elasticsearch topics, equipping learners with the skills needed to harness Elasticsearch’s power in building high-quality web applications.
- Course Rating: 3.2/5
- Duration: 5 hours
- Price: Join now and get up to 90% off the original price
- Benefits: 1 downloadable resource, access on mobile and TV, certificate of completion
Join Now: Learning Path: The Road to Elasticsearch
Learning Outcomes
| All about the Elastic stack, its major components, their use cases, the installation process | Basic usage of each major component, and its purpose |
| Success stories for customers by implementing the Elastic stack | Develop a complete data pipeline using the Elastic stack |
| Core fundamentals and concepts of Elasticsearch | Use RESTful API to interact with data stored in Elasticsearch |
| Learn to use the Elasticsearch domain-specific language to formulate complex queries for enabling fast searches | Use Elasticsearch with Logstash and Kibana in greater detail |
| How to perform a full analysis on Apache web logs, with Elasticsearch, Logstash, and Kibana | Learn the differences between Apache Solr and Elasticsearch |
10 Best Udemy Elasticsearch Courses: FAQs
Ques. Are there any free Elasticsearch courses on Udemy?
Ans. There are various free Elasticsearch courses on the Udemy official website, but they just offer introductory video tutorials without any certification. You can search for Udemy free Elasticsearch courses on Google/Udemy’s official website.
Ques. Are Udemy Elasticsearch courses self-paced?
Ans. Yes, Udemy Elasticsearch courses are self-paced, which means that you can learn at your own pace and schedule. You can access the course content anytime, anywhere, and from any device.
Ques. How long does it take to complete Elasticsearch courses on Udemy?
Ans. The duration of Elasticsearch courses on Udemy varies from course to course. Some courses can be completed in a few hours, while others may take several weeks or months to complete.
Ques. Can Udemy certificates be added to the resume?
Ans. Yes, one can add their Udemy certificates to the resume/CV. These certificates increase the chances of landing a dream job.
Ques. Are Udemy certificates valid?
Ans. Udemy certificates do not have formal accreditation, but most companies accept udemy certification as it demonstrates your skills and learning abilities.
Ques. Do I need to pay only once for the courses or is it accessible for a limited time?
Ans. Once you buy a course, you will have lifetime access to it. There is no monthly or yearly renewal for the course.
Ques. Should I rely on Udemy’s courses to learn new skills?
Ans. The Udemy courses are designed in such a manner that a total beginner can learn a new skill even if He/She doesn’t have any knowledge about that domain.
Ques. What is Elasticsearch?
Ans. Elasticsearch is a distributed, RESTful search and analytics engine designed for handling large datasets and providing fast and efficient search capabilities.
Ques. What is the primary use of Elasticsearch?
Ans, Elasticsearch is primarily used for full-text search, real-time analytics, and log and event data analysis. It’s commonly employed in applications that require fast and accurate data retrieval.
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