7 Best Elasticsearch Courses With Complete Online Training

Best Courses For Elasticsearch Training Online
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Elasticsearch and its other components, collectively known as “Elastic Stack,” have become quite popular in recent years for a myriad of uses ranging from a simple search on a website or document to collecting and analyzing log data and to being used as a business intelligence tool for data analysis and visualization.

 

This is because Elasticsearch is a highly scalable, open-source text-search and analytics engine that lets you store, search, and analyze heaps of data quickly and nearly in real time. Thanks to its JSON-based DSL, today, Elasticsearch is the most widely used engine/technology that powers web apps with complex search features and requirements.

 

Owing to its growing popularity, thousands of developers have developed an inclination towards Elasticsearch training to improve their professional visibility. If you, too, are keen on having the skills up your sleeve, several Elasticsearch courses are running online that you can enroll for. While the company itself offers an Elasticsearch certification course that you can check out here, there are also other platforms offering excellent Elasticsearch training and certifications at more affordable prices.

 

At TangoLearn, consulting 20 experts in Elasticsearch, we have put together a list of the seven best Elasticsearch courses and training that will help you learn the ropes in no time and earn your Elasticsearch certification. Continue reading to understand what skills you will be acquiring through this Elasticsearch training and the other perks offered by each course.

 

7 Best Elasticsearch Training And Courses Online

  1. Complete Elasticsearch Masterclass with Logstash and Kibana [Udemy]
  2. Complete Guide to Elasticsearch [Udemy]
  3. Linux Academy’s Elastic Certification Preparation Course [Linux Academy]
  4. Elasticsearch Essential Training [LinkedIn]
  5. Learning the Elastic Stack [LinkedIn]
  6. Official Elasticsearch Engineer Training [elastic]
  7. Elasticsearch 7 and the Elastic Stack – In-Depth & Hands-On! [Udemy]

 

1. Complete Elasticsearch Masterclass with Logstash and Kibana [Udemy]

Elasticsearch Masterclass with Logstash and Kibana

What Is This Course About?

The first course on our list is a Udemy bestseller focused on Elasticsearch. It guides you in building a search engine and accessing big data using the ELK stack (Elasticsearch 6, Logstash, and Kibana). Through this course, you’ll construct an Elasticsearch 6 cluster, execute diverse searches using the Query Domain Specific Language (DSL), and perform real-time analytics using the Aggregations DSL.

 

Moreover, you’ll learn to combine filters, queries, and aggregations, gaining insights into document relevance and search dynamics. Adding this Elasticsearch training to your LinkedIn profile can enhance your visibility to potential employers investing in this technology, paving the way for a rewarding career as an Elasticsearch engineer.

 

Beyond that, the training empowers you to leverage Elasticsearch to optimize your applications, making them exceptionally fast when used correctly. This course stands out as the best Elasticsearch course due to its practical and step-by-step explanation of key concepts by the instructor.

 

You’ll also receive guidance on best practices for building a search engine from scratch using Elasticsearch 6, the latest and widely adopted version. Real-time analytics on data are also covered in the curriculum.

 

The Udemy Elasticsearch class spans 6 hours and 5 minutes, featuring 26 lectures. It incorporates five articles and three downloadable resources to support your learning journey. Taught by a Senior Software Engineer and Trainer at Job Ready Programmer, this course comes with a one-time fee and a 30-day money-back guarantee.

 

Complete access to video lessons is provided, accessible on mobile or TV. Upon completion, you’ll receive a digital certificate of achievement to download and include in your resume or showcase on your LinkedIn profile. This top-rated Elasticsearch course holds a rating of 4.5 and has already attracted 32,912 student enrollments.

 

What You Will Learn

The key concepts covered under this excellent Udemy Elasticsearch class include:

  • How to set up Elasticsearch and Kibana
  • Overview of Elasticsearch
  • Indexing, retrieving, and deleting documents
  • Components of an index
  • Distributed execution of requests
  • Text Analysis for indexing and searching
  • Index settings and mapping
  • Searching DSL Query Context
  • Searching DSL Filter Context
  • Aggregations DSL
  • Downloading and configuring Logstash
  • Indexing Apache application logs
  • Kibana visualizations and dashboards
  • Architecting the Elastic stack
  • Using Filebeat with Logstash

 

Pre-requisites For This Course

While there are no technical requirements for this Elasticsearch training, you must have a strong desire to learn Big Data technology. Also, you must understand how to use an internet browser.

 

Who Is This Course For?

This Elasticsearch course is meant for anyone who wants to learn to build a search engine using Elasticsearch 6.0.

 

 

2. Complete Guide to Elasticsearch [Udemy]

Elasticsearch

What Is This Course About?

Even if you’re familiar with frameworks like Apache Lucene or Amazon CloudSearch, enrolling in an Elasticsearch course can significantly enhance your job prospects. Consider exploring this comprehensive Udemy Elasticsearch class, offering efficient learning of Elasticsearch technology within a few hours. This course serves as an excellent starting point for those new to Elasticsearch, providing insights into the ELK Stack.

 

Distinguishing itself as the best Elasticsearch course, this module seamlessly blends theory and practice. The instructor ensures you grasp the underlying concepts before diving into query examples, fostering a profound understanding of Elasticsearch’s workings. The training concludes with the ability to construct robust search engines, delivering Google-like search functionality.

 

With a duration of 12 hours and 11 minutes, the course includes 143 on-demand video lectures, three articles, and three downloadable resources. Bo Anderson, a Software Engineer from Denmark, crafted this Elasticsearch online training. The course boasts a rating of 4.6 and has garnered enrollment from 66,312 students.

 

As a Udemy bestseller, you can enroll in this training with a one-time fee, backed by a money-back guarantee. Additional perks include full lifetime access, mobile and TV accessibility, and a certificate of completion.

 

However, it’s essential to note that this course caters to developers seeking to interact with Elasticsearch clusters, not system administrators maintaining production clusters. Additionally, the focus is solely on Elasticsearch capabilities, excluding coverage of other components like Logstash and Kibana.

 

What You Will Learn

The main topics covered in this best Elasticsearch course are:

  • Inspecting the cluster
  • Sending queries
  • Sharding and scalability
  • Understanding replication
  • Indexing documents
  • Understanding document versioning
  • Mapping and analysis
  • Query DSL
  • Understanding relevance scores
  • Working with relative dates
  • Querying with Boolean logic
  • Metric Aggregations
  • Fuzzy query and adding synonyms

 

Pre-requisites For This Course

While this course is described as beginner Elasticsearch online training, you must have some knowledge of JSON. In addition, some basic terminal skills are also welcome.

 

Who Is This Course For?

This Udemy Elasticsearch class is only suitable for developers who want to learn Elasticsearch and is not intended for system administrators.

 

 

3. Linux Academy’s Elastic Certification Preparation Course [Linux Academy]

Linux Academy’s Elastic Certification Preparation Course

What Is This Course About?

If you want to become a certified Elasticsearch Engineer, this course on Linux Academy is just what you are looking for. This professional Elasticsearch course will help experienced developers prepare for the Elastic Certified Engineer Certification. Earning this certification will get you recognized and employed as a certified engineer who can develop complete Elasticsearch solutions. Though this is a preparatory Elasticsearch course online, it is not an official course approved by the Elastic company, nor is Linux Academy affiliated with Elasticsearch BPV.

 

Nonetheless, this advanced Elasticsearch training will help you acquire the skills needed to clear the exam. With a duration of 50 hours, this course is one of the most comprehensive Elasticsearch training courses that you can find online. It comprises 58 lessons and 19 hands-on labs that have been thoughtfully integrated into this Elasticsearch online training to serve as a guided and interactive experience, helping you to learn and solve real-world problems and work in real cloud environments.

 

This Elasticsearch training will begin with the fundamentals of Elasticsearch and cover all the essential topics related to the Elastic Stack. While you can enroll in this Elasticsearch training for free, the free version will give only limited access to the basic courses and features. On the other hand, the paid versions will provide full access to the hands-on learning policy of this course, plus the facility to practice in real multi-platform servers. As an add-on benefit, you can also avail yourself of a 7-day free trial.

 

What You Will Learn

The core concepts taught in this preparatory Elasticsearch course online are:

  • Deploying, configuring, and starting an Elasticsearch cluster
  • Indexing data
  • Mapping and text analysis
  • Cluster administration
  • Queries
  • Aggregations

 

Some of the scenarios covered under the 19 hands-on labs of this best Elasticsearch course are:

  • Configuring shard allocation and forced awareness in Elasticsearch
  • Encrypting cluster and client Elasticsearch networks
  • Performing CRUD operations on documents
  • Defining indices and aliases
  • Defining and executing search queries
  • Configuring user access control
  • Defining and configuring a multi-node cluster
  • ECE practice exams

 

Pre-requisites For This Course

  • Since this is advanced Elasticsearch training, you must be thorough with Linux JSON and have YAML fluency.
  • You must possess a basic understanding of regular expressions
  • Should have networking knowledge
  • Must understand Public Key Infrastructure (PKI)
  • Be aware of the basic programming principles

 

Who Is This Course For?

This Elasticsearch training will be helpful for any developer who wants to obtain the official Elasticsearch Engineer certification.

 

 

4. Elasticsearch Essential Training [LinkedIn]

Elasticsearch Essential Training

What Is This Course About?

The next one in our Elasticsearch training courses is a LinkedIn training designed for developers who are already aware of the fundamentals and want to take their skills to the next level. This intermediate Elasticsearch course will dig deeper into what goes inside Elasticsearch along with using Kibana. This Elasticsearch cluster component will also help you provide analytical solutions for complex business questions related to your data and customers.

 

In 1 hour and 31 minutes, this Elasticsearch online training will give you an overview of the architecture and the different deployment methods. Through this Elasticsearch training, you will also learn how to structure your data in the best way. Plus, you will learn how to query data and work with Kibana to present your data insights.

 

This best Elasticsearch course on LinkedIn comprises 23 on-demand video lectures, divided into six sections. Each section also contains a chapter quiz to test how much you grasp from that particular section. Plus, a project file is attached with this Elasticsearch training that you need to complete and submit to be eligible for a certificate. You can showcase this certificate on your LinkedIn profiles and print it to add to your resume.

 

You can either purchase this Elasticsearch course online with a one-time fee or access it through a LinkedIn monthly or yearly subscription. Going for the latter option will also make you eligible for a one-month free trial. This Elasticsearch training has been created by Ben Sullins, who is a Tech Consultant, and 36,786 students have already enrolled in this course.

 

What You Will Learn

The different topics covered under the six sections of this Elasticsearch training are:

  • Overview of Elastic Stack, use cases, and basic concepts
  • Running Elasticsearch on the cloud and installing it locally
  • Exploring cluster
  • Bulk loading data and setting data types
  • Simple and term-level queries
  • Analysis and tokenization
  • Basic Aggregations
  • Percentiles and histograms
  • Creating visualizations and dashboards in Kibana

 

Who Is This Course For?

This course is the best Elasticsearch course for developers who already know Elastic Stack and are willing to learn more.

 

 

5. Learning the Elastic Stack [LinkedIn]

Learning the Elastic Stack

 

What Is This Course About?

While the above course was meant for intermediate learners, LinkedIn also has Elasticsearch training designed for beginners. This course will teach you about Elasticsearch from scratch, right from setting up and using the Elastic Stack. This course is one of the top Elasticsearch training courses on LinkedIn that, apart from teaching the typical installation of the stack, will also help you understand why the Elastic stack can be a brilliant addition to your environment.

 

The instructor of this Elasticsearch training will then take you through the fundamental concepts and components of Elasticsearch, such as Kibana, Logstash, Beats, and X-pack. Finally, through this Elasticsearch online training, you will explore different use cases and learn to troubleshoot the Elastic stack.

 

The duration of this Elasticsearch course is 1 hour and 30 minutes. This beginner course comprises 25 on-demand video lessons. This course also includes a course project and will provide a sharable certificate of completion. This course is created and mentored by Emmanuel Henri, an Executive with more than 20 years of experience in programming and design.

 

More than 19,000 students have already enrolled for this course so far. If you think this Elasticsearch training will give you a good head-start, you can purchase this course with a one-off fee or access it through a LinkedIn membership. You can also avail of a one-month free trial with the membership.

 

What You Will Learn

Some of the basics that you will be introduced to through this Elasticsearch course online are:

  • Overview of the ELK stack
  • Installing the Stack on Windows and Docker
  • The core of Elasticsearch
  • Kibana, the user tool
  • Logstash, the ingest tool
  • Beats, the small specific shippers
  • Log management
  • Metrics analysis
  • Security analysis
  • Site and application searching
  • Application performance monitoring
  • Troubleshooting resources

 

Who Is This Course For?

This course on Elasticsearch is apt for people who are starting off with Elasticsearch.

 

 

6. Official Elasticsearch Engineer Training [elastic]

Official Elasticsearch Engineer Training

What Is This Course About?

If you insist on taking official Elasticsearch training, the company website has several Elasticsearch training courses offered through its platform. You have the option to pursue these courses privately, through virtual classrooms, or opt for the self-paced courses that you can complete at your own convenience.

 

Here, we will only discuss the two self-paced foundational courses that cover the fundamentals of Elasticsearch. However, you can check out the website for the other formats of these courses.

 

Each of these Elasticsearch online training can be completed in over 16 hours. Also, while these courses are available as two different courses, namely Elasticsearch Engineer 1 and Elasticsearch Engineer 2, the company will be consolidating these two courses into a single Elasticsearch course which you can complete in three days. This course will primarily focus on managing a cluster in Elastic Cloud deployment. The topics covered in these two courses will also be incorporated in this new course, and several new concepts will be added. Once you complete both the courses, you can proceed to apply for the Elastic Certified Engineer Exam.

 

Till the time these courses are still available as two different courses, you can purchase them individually with a one-time fee or opt for the Elasticsearch training subscriptions, which will give you an all-access pass to the multitude of courses offered on this platform. By opting for the standard or professional subscription, you will also have access to hands-on projects and get free certification exam attempts.

 

What You Will Learn

The topics covered under the two courses are as follows:

 

Elastic Engineer I

  • Elastic Stack overview
  • Querying data
  • Aggregating data
  • Text analysis and mappings
  • Securing Elasticsearch
  • The distributed model
  • Improving search results
  • Best practices
  • Troubleshooting Elasticsearch

 

Elasticsearch Engineer II

  • Cluster management
  • Advanced search and Aggregations
  • Capacity planning
  • Field modeling
  • Document modeling
  • Fixing data
  • Monitoring and alerting
  • Elasticsearch internals
  • Moving from development to production

 

Pre-requisites For This Course

  • A Mac, Linux, or Windows PC
  • The latest version of Chrome or Firefox
  • You must disable any ad blockers and restart your browser before starting the training.
  • The two Elasticsearch training are delivered in different languages. Therefore, you must confirm the language before selecting the course.
  • To undertake the second course, you should ideally complete the Elasticsearch Engineer I course or have equivalent knowledge of the concepts.

 

Who Is This Course For?

  • These courses are suitable for Developers, Engineers, Data Architects, and System Administrators.
  • The second course is beneficial for experienced Elasticsearch professionals who want to learn more about Elasticsearch cluster management and application development.

 

 

7. Elasticsearch 7 and the Elastic Stack – In-Depth & Hands-On! [Udemy]

Elasticsearch 7 and the Elastic Stack

What Is This Course About?

This Udemy Elasticsearch class is for those who are searching for a complete tutorial on the Elastic Stack. While the other Elasticsearch training courses in our list revolve around Elasticsearch 6, this course will help you search, analyze, and visualize the big data using Elasticsearch 7, Kibana, Logstash, and Beats.

 

The instructor of this Elasticsearch course will take you through the new features of version 7 that include index lifecycle management, deprecation of types, type mappings, hands-on activity with Elasticsearch SQL, and much more. This Elasticsearch training will also address the problem of importing data into the Elasticsearch index. You will then learn to stream this data into Elasticsearch using the ELK Stack.

 

The duration of this course is 16.5 hours, and it comprises 124 on-demand video lectures. This Elasticsearch course online has been created by Sundog Education by Frank Kane. You can enroll in this Udemy Elasticsearch class for a one-time fee, giving you full lifetime access to this training. You will also bag a certificate of completion for this course. This training has been tagged as a bestseller with a rating of 4.5 and 21,264 students on board.

 

What You Will Learn

The primary topics covered under this Elasticsearch course online include:

  • Installing and configuring Elasticsearch 7 on a cluster
  • Understanding concepts like fuzzy search, pagination, sorting, and partial matches
  • Creating search indices and mappings
  • Searching full-text and structured data
  • Integrating Elasticsearch with other systems, such as Spark, Kafka, S3, etc.
  • Aggregating data using buckets and metrics
  • Analyzing and visualizing data using Kibana
  • Using cloud-based solutions

 

Pre-requisites For This Course

  • Access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
  • Familiarity with Linux, web services, and REST
  • Some exposure to JSON-formatted data will be of help

 

Who Is This Course For?

This Udemy Elasticsearch class can be undertaken by any technologist who wants to add Elasticsearch to their portfolio for searching and analyzing big data sets.

 

 

Related: Best books for Elasticsearch, How does Elasticsearch make money, Step-wise guide to learn Elasticsearch.

 

Conclusion

That’s a wrap for our top Elasticsearch training courses. There is a big gap in demand and supply for certified Elasticsearch Engineers, so now is the right time to cash in on this opportunity by taking up professional Elasticsearch training. We have tried to provide you with maximum information on each of the Elasticsearch courses to guide you in making an informed choice and selecting a course that suits you the best. Team TangoLearn wishes you all the best!

 

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