Best Elastic Search Courses, Tutorials, and Certifications Online – Updated [May 2024]

Our team at SkillComplete, which consists of highly experienced cloud developer and technical enthusiasts have compiled the list of Best Elasticsearch courses, tutorials, training, certifications, and classes available online on leading online learning platforms such as Udemy, Coursera, Edx, LinkedIn learning, to help you learn Elasticsearch and ELK stack. In the past, our team has also researched other top courses such as Cloud, AWS, Openshift, Docker, and Kubernetes courses. All the mentioned programs are suitable for beginners who are just starting, intermediate and advanced developers who want to sharpen their skills to the next level. Let’s understand and look at a brief introduction to Elasticsearch.

Elasticsearch which was built on Apache Lucene is nothing but a search engine that is primarily used for analytics. This search engine can be used for full-text search, security intelligence, business analytics, and operational intelligence use cases. It was released back in 2010 and instantly became the most popular search engine. This distributed search and analytics engine is known for its simple REST APIs, distributed nature, and speed. 

Elasticsearch is a component of Elastic Stack that is a set of free and open tools for data analysis, storage, and visualization.

This search engine can be used to process and analyze documents of all formats. Elasticsearch was developed alongside the log-parsing engine log stash and data collection, Kibana, and Beats. These four products together form the “Elastic Stack”. Elasticsearch is based on JSON and Java API. Elasticsearch is not just a search engine it is an index and analytics database. It depends on what you are looking for. It processes JSON requests and gives you back JSON data.

Following are the benefits of Elasticsearch:

• Fast time-to-value: Since this engine offers simple REST-based APIs and uses JSON documents that are schema-free, it becomes easy to understand and get started with Elasticsearch and quickly build applications for a huge number of use-cases.
• Near real-time operations: Elasticsearch is fast when it comes to reading and writing data. It takes less than a second to complete reading and writing. 
• Easy application development: Elasticsearch support various languages such as Java, Python, PHP, JavaScript, Node.js, Ruby, etc. Making it usable for all kinds of users.
• High Performance: Elasticsearch is capable of processing large volumes of data in parallel, giving you the best results for your queries quickly.
• Schema free: Unlike others, Elasticsearch doesn’t require some definitions such as index, type, and field type. All these are automatically added to the mapping definitions.
• Scalability: Elasticsearch doesn’t require the users to buy a high-end machine. It will run smoothly on any machine. This engine was built to scale and thus is considered the best in the game.
• JSON: Elasticsearch uses JSON as the serialization format for documents. This makes it easy to be accepted in various programming languages. It is simple and easy to read.

The above-mentioned advantages make Elasticsearch one of the best in the games. It is growing its popularity every day. Thus it becomes very important to learn this skill. In this modern tech world, where almost every business is run digitally, it requires someone to use tools like Elasticsearch to analyze loads of data and predict the best outcome. Are you wondering how and where to start? Well, you’ve come to the right place. We have picked the best Elasticsearch courses available out there that will make you a master in Elasticsearch. All the courses are thoroughly studied and thus are reliable. Let us look at the Best Elasticsearch Courses or ELK courses.

Best online courses, classes, and tutorials to learn Elasticsearch

This course is for everyone who is looking for a complete guide, which includes the basics and how to start from scratch in Elasticsearch. The course includes topics such as ELK Stack, Elastic Stack, Logstash, and Kibana. The course is available in the English language and is regularly updated at Udemy. Captions are available in 9 different languages.

Key Points:

• Prepare you on how to build a powerful search engine using Elasticsearch. 
• Introduction about Elasticsearch, Elastic Stack, Common architectures, etc. It will also include an overview of elastic stack and installation options. This will help you to understand the functions of Elasticsearch and the basic architecture behind it.
• The course includes a QnA section where the students can ask about their doubts and get them cleared. There is a complete guideline mentioned for the QnA session so that there is no confusion.
• You will learn how to write complex queries, how to manage documents, and map and perform analyses. You will be able to create and delete indices, index, update, replace, and delete documents.
• It’ll tell you how Elasticsearch writes data, how to update by query, delete by query, batch processing, wrap up, understand routing, and document versioning.

Pre-requisites: You should have basic knowledge of JSON and Basic terminal skills is a plus. Rest assured, you are good to go.

Duration: 12h 4m | Level: Beginner | Access: Lifetime

This is a complete Elastic Search tutorial, which consists of searching, analyzing, and visualizing big data using Elasticsearch, Kibana, Logstash, and Beats. This is one of the bestseller courses and is already taken by thirty thousand plus students. This course is offered by a 4.6 rated author and it is one of the bestsellers on the platform. The course is rated four points four out of five (4.4/5) with four thousand plus ratings.

Key Points:

• In this course, you will learn how to install and configure Elasticsearch 7 on a cluster, and how to search full text and structured data in different ways. It’ll allow you to integrate and merge Elasticsearch with other systems such as Spark, Kafka, Relational databases, S3, and more.
• It’ll teach you about creating indices and mapping, and importing data into Elasticsearch using several different techniques. It will also include Aggregate structured data using buckets and metrics.
• The course will make you an expert on how to use Logstash and the ”ELK stack” to import streaming log data into Elasticsearch. It will teach you to analyze and visualize data using Kibana.
• Help you on how to manage operations on production Elasticsearch clusters. Use cloud-based solutions including Amazon’s Elasticsearch Service and Elastic Cloud.
• It’ll teach you the basics of Elasticsearch including the Logical Concepts. How Elasicsearch scales, mapping, and indexing data.
• Contains a quiz to make sure that your skills can be tested in different scenarios.
• Teach you how to Import data into your index – Big or Small.

Pre-requisite: Web services and REST. Some familiarity with Linux is a plus. Exposure to JSON-formatted data is desirable.

Duration: 16h 29m | Level: Beginner and Intermediate | Access: Lifetime

Offered by LinkedIn Learning, this course is a gateway to Elasticsearch and includes a certificate. It is created by a DevOps engineer. This course focuses on the basics of Elasticsearch and will help you get started so that you feel confident in exploring the tools on your own, and is highly rated by its students. 

Key Points:

• The course includes 1 project file, four quizzes, and a certification of completion.
• The course has an intro section that covers The Elastic Stack, working with Logstash, how to use beats, and Kibana.
• It’ll teach you how to install and set up ELK and is easy to grasp.
• The course is for anyone who is looking to just get started with the basics of Elasticsearch.

Pre-requisite: No prior knowledge of Elastic search is required.

Duration: 1h 50m | Level: Beginner | Access: Lifetime | Certification: Certification of completion

Our fourth course includes how to build a search engine and crack big data using Elasticsearch, Kibana, and Logstash. The course is taken by thirty-eight thousand plus students with six thousand plus ratings. This course will teach you how to build a search engine and master Elasticsearch, Kibana, and Logstash.

Key Points:

• Teach you how to perform various Searches using query DSL. Perform real-time analytics using Aggregations DSL.
• Combine Filters, Queries and understand document relevancy and searching.
• Teach you how to set up Elasticsearch and Kibana, Document management, and analyzers.
• The course includes defining the index structure and querying Elasticsearch.

Pre-Requisite: Basic knowledge of how to use an internet browser.

Duration: 6h 6m | Level: Beginner | Access: Lifetime

This course will help the users to become a master in Elasticsearch. This course is for anyone looking to learn complete Elastic Stack, Logstash, and Kibana. It is available in the English language and recommended by top companies like Nasdaq and Eventbrite.

Key points:

• Help you understand the core principles of Elasticsearch and Apache Lucene.
• Get an in-depth understanding of how to search in Elasticsearch.
• Process the data using Logstash and other sources.
• Ideas and mechanisms behind the speed of Elasticsearch.
• In-depth knowledge of the searching mechanism.

Pre-requisites: No prior knowledge of Elastic search is required.

Duration: 6h 8m | Level: Beginner | Access: Lifetime

As the name suggests, this course is focused on Kibana. It’ll help you visualize and analyze data with Kibana. The course also includes Elastic Stack and Logstash. The course will start with basics and increases its level gradually. The course is trusted by ten thousand plus students.

Key Points:

• The course will start with the basics of Kibana.
• Classes include Securing Kibana.
• Creating basic and advanced visualizations.
• Teach you about reporting and alerting.
• Help you to set up Elasticsearch and Kibana on mac, windows, and Linux.
• Creating Index patterns.

Pre-requisite: The users should have a basic understanding of Elasticsearch.

Duration: 5h 29m | Level: Intermediate | Access: Lifetime

If you are someone who is looking to get started with Elasticsearch, then this course is for you. The course includes tutorials that will show you a gateway to the Searching and Analyzing world. The course can be taken by anyone who is a beginner and just looking to enter the space of Elasticsearch.

Key Points:

• Installing and Setting up Elasticsearch.
• You will learn how to index and update documents you are looking to search and analyze.
• Perform search queries on document contents. 
• You will explore the TF/IDF algorithm for search ranking and relevance.
• Run analytical queries on data subsets specified by search terms.

Pre-Requisite: No prior knowledge of Elastic search is required.

Duration: 2h 45m | Level: Intermediate | Access: Lifetime

This course will include Elasticsearch and Kibana which will help to provide analytical solutions. The course will teach you the inner workings of Elasticsearch combined with Kibana. You will learn an overview of the architecture, and how to structure your data. You will also get an insight into how to work with Kibana.

Key points:

• How to work with Kibana and its basics
• Knowledge of Elasticsearch.
• Architecture involved.
• Querying data
• Analyzing data

Pre-Requisite: No prior knowledge of Elastic search is required.

Duration: 1h 31m | Level: Beginner | Certification: Certification of completion.

This course will not only include the knowledge of Elasticsearch but also the architecture and scaling related to Elastic search. The course is already enrolled by three thousand plus students. The course is available in the English language. It is a highly rated course with trusted students.

Key Points:

• Database architecture.
• Includes various scalable deployment configurations.
• This course will teach you how to use Elasticsearch NoSQL, which is a common NoSQL database. 
• You will learn the PostgreSQL architecture, and analyze and compare SQL and NoSQL.
• Prepare you to compare and contrast ACID and BASE style architectures and databases.
• It’ll also teach about the Elasticsearch index.

Pre-Requisite: No prior knowledge of Elastic search is required.

Duration: 10+ hours | Level: Intermediate | Certification: Certification of completion

The course will cover the basics and advanced search systems related to Elasticsearch. It will also include recommendation mobile, PHP/python/java integration. The course is regularly updated and is available in the English language. This course is all that you need to learn from basics to advanced. The course is very well structured and designed for students of all levels.

Key points:

• You will learn about the basic conceptions of Elasticsearch in the beginning.
• Teach you to create recommendation systems using Elasticsearch.
• How to set up a HA cluster.
• REST API with practice.
• Teach you about programming design patterns: builder pattern, filter pattern.
• Use of PHP/python and Java libraries for integration.
• How to index millions of documents in the most efficient way to zero downtime.

Pre-requisite: Basic knowledge of programming.

Duration: 4h 46m | Level: Beginner-Intermediate | Certificate: Certificate of completion

Conclusion

Thus comes an end to the best Elasticsearch courses available online. Elasticsearch is gaining popularity every day and becomes an important tool. With the above-mentioned courses, you can be assured that you will become skilled when it comes to Elasticsearch. The courses are mentioned for all kinds of users, so the users can pick the courses which best suit them. With the advantages of Elasticsearch, this skill is a must in 2022. Some of the mentioned sources also include certificates that will help you land high-paying jobs if mentioned in your resume. You may also want to check Redis, Python, Data Engineering courses.

With that said, thank you for reading this article. If you found the courses useful, share them with your network, it’ll motivate us to make more such series. In case of any questions or feedback feel free to drop a note.