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#2 in Elastic SearchUdemyElastic SearchPaid courseAll LevelsCertificate

Complete Elasticsearch Masterclass with Logstash and Kibana (Udemy.com)

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

Created by: Job Ready Programmer

Last updated September 2025

Our take

Based on the ratings of 8,495 students, a sample of their written reviews and the syllabus, as the course stood in September 2025. No course pays to be reviewed.

A short, focused introduction to the ELK stack from Job Ready Programmer, taught on video by Imtiaz Ahmad. Six sections and 29 lectures fill about 6 hours: installing Elasticsearch and Kibana, indexing documents, analyzers, mappings, the Query DSL, aggregations, and a closing project that wires Logstash, Filebeat and Kibana together. It is aimed at developers and sysadmins who have never touched Elasticsearch and want the core ideas in a weekend rather than a 20 hour reference course. Around 50,000 students have taken it, and the 4.4 rating comes from roughly 8,500 reviews.

Students consistently praise how Imtiaz explains things. Reviews call him clear, easy to follow, and good at building each concept on the last. One says it left him more confident going into real Elasticsearch work; another reckons five hours is enough to add ELK to a resume. The complaint that shows up again and again is age. Even reviews from 2026 note the videos demonstrate version 6, while Elasticsearch is now on 9, and some Kibana visualizations and config settings shown no longer work without extra research. A few learners also wanted more Logstash examples, a look at scripting and search templates, and more Windows screen time instead of a Mac.

The listed last update is September 2025, but the reviews suggest that did not refresh the version shown on screen, so expect to translate a few steps yourself. Compared with the longer Elasticsearch guides it sits beside, this is the quick option: a solid mental model of the stack in a weekend, not a reference. Recommended for a first pass at ELK if a bit of version drift does not bother you; look elsewhere for a current, deep treatment.

Best forDevelopers and sysadmins who want the core Elasticsearch, Logstash and Kibana ideas in a weekend, not an exhaustive reference.
Skip it ifYou need the current Elasticsearch 9 UI and APIs shown on screen, or want depth on scripting, templates and multi search.

Pros

  • Imtiaz's explanations are clear and build one concept on the next, the most repeated praise in reviews
  • Only about 6 hours across 29 lectures, so the whole stack fits into a weekend
  • Ends with a real project wiring Logstash, Filebeat and Kibana together, not just isolated demos
  • 89 percent of its 8,500 reviews are 4 or 5 stars

Cons

  • Videos demonstrate Elasticsearch 6; some Kibana visualizations and settings no longer work in version 9
  • Skips scripting, search templates, multi search and deeper Logstash config, which reviewers asked for
  • Recorded on a Mac; one reviewer asked for more Windows screen time since few students use Macs
Great course to learn Elasticsearch in detail and with a good foundation. However, it needs an update. Course content are still relevant but are outdated.
Kaveh Saleki, a student

Genuinely beginner friendly; no prior Elasticsearch needed, and the listing asks only for a computer and basic familiarity with browser developer tools.

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What you will learn

  • Build and Deploy Elasticsearch clusters from scratch
  • Build Easy to Advanced search queries using powerful Query DSL
  • Transform and enrich data with Logstash for seamless processing
  • Craft interactive dashboards for data visualization using Kibana
  • Implement a Real-World Project by integrating the complete ELK stack
  • Install and configure Elasticsearch for Scalable Search Solutions
  • Perform powerful realtime analytics using the Aggregations DSL
  • Design and manage Logstash Pipelines for Efficient Data Ingestion
  • Optimize Elasticsearch Performance and Scale Clusters Effectively
  • Combine Filters, Queries and Aggregations and understand document relevancy and searching

Course content

6 sections · 29 lectures · 6.2 hours of video 1 quiz, 7 articles

  1. 1Introduction 2 free previews7 lectures · 1 quiz · 42 min
  2. 2Document Management and Analyzers 1 free preview4 lectures · 1.4 hours
  3. 3Defining the Index Structure2 lectures · 29 min
  4. 4Querying Elasticsearch7 lectures · 1.8 hours
  5. 5Real World Project with Logstash, Kibana and Filebeat8 lectures · 1.8 hours
  6. 6Course Extras!1 lecture · 2 min

Who it is for

The instructor says it suits

  • Anyone who wants to learn how to build a search engine using Elasticsearch
  • Aspiring developers, data professionals, and system administrators eager to build robust search and analytics solutions.
  • IT professionals and DevOps engineers looking to optimize infrastructure and leverage big data.
  • Anyone passionate about mastering one of today’s most in‑demand technology stacks and transforming raw data into business value.

What you need before you start

  • A Computer with Internet Access to set up a local environment and engage in hands‑on labs
  • Familiarity with general data concepts is an advantage—but not required (Covered in course from scratch)
  • Basic Understanding of Internet Browser and its Developer Tools (Covered in course from scratch)
  • A Passionate Desire to learn the Popular Big Data Technology

How it compares

Against the other 43 rated Udemy courses in Elastic Search on CourseDuck:

  • Rating4.4 out of 5higher than 62% of them
  • Reviews8,495#2 of 44 by number of reviews
  • Length6.2 hourslonger than 72% of them
  • Last updatedSeptember 2025more recently than 86% of them

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Course Description

Welcome to the Complete Elasticsearch Masterclass with Logstash and Kibana Course!

Are you an aspiring developer or IT professional eager to master the ELK stack (Elasticsearch Logstash Kibana)?

Do you want to build real-time search and analytics applications from scratch?

Have you struggled to find a course that breaks down complex data technologies into clear, hands‑on lessons?

Are you looking for a structured, practical course that combines theory with real-world projects?

If you answered yes to any of these questions, you’ve found the right course!

What Makes This Course Stand Out?

  • Comprehensive & Structured Content: Start with the fundamentals of Elasticsearch and progress to advanced search, analytics, and performance optimization.

  • Job-Ready Skills: Equip yourself with the practical knowledge and real-world experience employers demand.

  • Expert Guidance: Learn from the Professional Data Engineer, Imtiaz Ahmad, who has deployed and managed ELK stack solutions in live environments for financial institutions from Wall Street.

  • Flexible Learning: Enjoy lifetime access, on‑demand videos, downloadable resources, and a certificate of completion to boost your resume.

Why This Course Is Essential:

Elasticsearch is the biggest player in the big-data space since Hadoop. I would actually vouch that it's the Hadoop killer!

It's just now beginning to gain recognition and wider adoption in the No-SQL Big-Data space and Elasticsearch has come a long way since its first release. I'm sure that by just adding Elasticsearch to your LinkedIn profile you're going to gain the attention of various companies investing in this technology. So get excited about Elasticsearch because it is a big deal. The average salary for an Elasticsearch engineer is over $100,000 and the demand for engineers is high.

This course is most suited for people who want to power up their resume with this new and exciting technology and power up their applications to be blazing fast by implementing Elasticsearch correctly. I've designed this course to be practical and easy to follow by repeating key concepts with step-by-step instructions and best practices for building a search Engine from scratch.

By the end of this course, you'll know everything there is to know about how to build a search engine using the most recent and popular version of Elasticsearch for your application as well as how to perform powerful real-time analytics on your data.


Topics covered in Complete Elasticsearch Masterclass with Logstash and Kibana course:

  • Getting Started with the ELK Stack

    • Overview of Elasticsearch

    • Understanding Elasticsearch Architecture

    • What is ELK Stack?

  • Setting up Elasticsearch and Kibana

  • Downloading and Configuring Logstash

  • Indexing, Retrieving and Deleting Documents

    • Indexing Data in Elasticsearch

    • Text Analysis

    • Index Settings

    • Index Mapping

  • Mastering the Query DSL

    • Searching DSL Query Context

    • Searching DSL Filter Context

    • Aggregations DSL

  • Performance Tuning and Scaling in Elasticsearch

  • Data Aggregation and Analysis in Elasticsearch

  • Introduction to Logstash

    • Configuring Logstash Pipelines

    • Data Ingestion and Transformation with Logstash

  • Introduction to Kibana

    • Creating and Customizing Kibana Dashboards

    • Data Visualization and Reporting in Kibana

  • Real-World ELK Stack Project Implementation

    • Indexing Apache Application Logs

    • Kibana Visualizations and Dashboards

    • Using Filebeat with Logstash

Important Announcement: This course is continually updated to ensure you receive the most current and relevant training in the ELK stack. Expect regular updates, new projects, and enhanced community support to keep you ahead in the rapidly evolving tech landscape. This course will also be constantly updated with more assignments, quizzes, and lectures to enrich your knowledge of the ELK stack.

Key Benefits of Elasticsearch, Logstash and Kibana Mastery

  • Unlock In-Demand Career Opportunities: Gain a competitive edge in data analytics and search technology by mastering one of today’s most sought-after skill sets.

  • Build Scalable, Real-World Solutions: Develop the expertise to design and implement robust, high-performance search engines and dynamic data pipelines that meet industry demands.

  • Transform Data into Actionable Insights: Learn to efficiently process, analyze, and visualize large datasets using Elasticsearch, Logstash, and Kibana—empowering data-driven decision-making.

  • Future-Proof Your Skills: Stay ahead of the technology curve with up-to-date content on the latest features and best practices of the ELK stack.

  • Enhance Your Professional Portfolio: Earn a certificate of mastery that validates your expertise, giving you a strong foundation for career growth in big data, IT, and beyond.

By completing this course, you'll be proficient in deploying and managing the ELK stack and position yourself as a valuable asset to any organization looking to leverage big data for strategic advantage.


STUDENT REVIEWS

With over 47,000 students and a 4.6 Star rating, this is a Udemy Bestseller course with thousands of students who have benefitted from the content. Don’t just take it from me, take it from the students that have taken this course.

★★★★★ Here are reviews from real students who took this course ★★★★★

★★★★★ This is an awesome Masterclass. It provides all the basics to work with the ELK-Stack and gives a deep look in how the core Elasticsearch is working and how to use it. Thanks to some sketches he explains the structure behind the programs. Here he might use a tablet to make his drawings as professional as the rest of the course. Thanks for the great help.

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Instructor Details

Job Ready Programmer

You can’t learn programming from reading books or online fill-in-the-blank type tutorials. Especially the online tutorials with browser based exercises where you code directly in your browser. The problem with that approach is that it doesn’t provide practical experience. It provides an illusion of learning something as it tugs you along to complete an assignment that’s more of a fill-in-the-blank type problem. A student feels like they’ve learned something but that knowledge does not stick. Unfortunately that experience will not help in an interview nor an actual project. Valuable time ends up going to complete waste. At JRP (JobReadyProgrammer), we don’t follow hype. We do what works! We take a traditional route to teaching how to code advancing slowly & patiently in the lectures often repeating key concepts in multiple different ways to help students really solidify the knowledge and mold their foundation to discover how to code properly and then boy do we test the skills! Students are put right in the middle of a practical real-world programming assignment to apply everything they've learned. So enough of those “key in the next few commands to fill in the puzzle and we’ll advance you” kind of tutorials. Here you’ll need to roll up your sleeves and get to work on solving practical programming assignments.

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Reviews

4.4

8,495 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Alla Colesnic on 4/27/2026

Above expectations! The course is very well structured. I really appreciate that the author didn’t just put a lot of effort into the material, but also presented it in a clear and logical order, so it’s easy to follow. Each new concept builds naturally on the previous one. Highly recommended!

By Pranjal Kumar on 3/12/2026

A thoroughly detailed and comprehensive course and tutorial for the ELK stack. Like a boot camp. Highly recommend the course for anyone who wants to understand logging and monitoring. Imtiaz explains very clearly and is very easy and interesting to follow.

By Jose Jimenez on 1/20/2026

Great course! It made me understand better the main concepts of elastic search and I learnt other tools like kibana, logstash and filebeat, even I could get a general idea about how to implement them in a real project. A bad thing is the content is very OLD, the current version for elastic is the version 9 in 2025, being a little bit hard to follow some lectures, features like visualizations, configurations, etc. have been deprecated and they no longer work in the new version, and was necessary to research further on internet to fix the issues, spending more time... but in general I could complete the course and implement a real elastic suite in my personal computer, I am so happy for that!

By Anonymized User on 5/29/2020

Very nice precise and to the point course for any developer who wants to learn the ELK stack. If you don't have any prior experience of the stack just give 5 hours of your life to this course and rest assured you can add ELK stack to your known skills. Good job Imtiaz!

By Subhadeep Bhattacharyya on 11/25/2019

I think the course was very precise, detailed and informative. Only suggestion would be to either upgrade the learning material ( to Elasticsearch 7) or provide an extra section covering differences between ElasticSearch 6 and ElasticSearch. I believe there are many important concepts like ILM ( Index Lifecycle Management) that have been introduced as part of ElasticSearch 7 that should be taught here.

By Adil Khan on 3/18/2019

Its been an excellent course to work through ELK step by step from the grass root level. Amazing tutor as well. I would surely recommend this course to everybody who wants to build their career in the ELK/Big Data analysis. Thanks for making ELK so easy for me. :)

By Abdul Rab on 1/31/2019

Highly recommended for the people who wants to understand the eleastic seach . I am very happy with the course. When I started I had no idea about the subject but now i'm feeling confident about it. Imtiaz teaching style is great. You will simply love it.

By AashishChugh on 1/29/2019

I think it can be more deeper that how can we manage multiple conf file in logstash and how can we apply decision statements in configuration file (if-else). which is very important thing while we are using logstash with filebeat or with file plugin.

By Anju Syama on 1/10/2018

Some of the students uses windows, Imtiaz had given suggestions on using through windows in the beginning but for Logstash we did not have that instruction guide.this does not mean the training was bad. it was awesome and very helpful. Could include few more exercises on document scanning and tokenizations. However this course helped me very well and gave confidence to use Elasticsearch. I have done a POC and a project now.

By Marie Bacuno on 8/9/2017

Should add discussion on scripting, multi search and template . It is also important to mention that mappings cannot be updated otherwise you need to rebuild your index.

Showing all 10 reviews on CourseDuck

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Quality Score

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Overall Score : 88 / 100