Udemy

Elasticsearch 9 Masterclass For Java Spring Developers

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  • 2,013 Students
  • Updated 2/2026
4.8
(185 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
14 Hour(s) 17 Minute(s)
Language
English
Taught by
Vinoth Selvaraj
Rating
4.8
(185 Ratings)
1 views

Course Overview

Elasticsearch 9 Masterclass For Java Spring Developers

Master Full-Text Search, Fuzzy Match, Powerful Aggregations and Robust Search Engine Architecture From Scratch.

This course is up to date with latest Elasticsearch version 9.

Elasticsearch 9 Masterclass: Building Powerful Search Engine with Java & Spring Boot.

Note: This is NOT a logging/monitoring/analytics course.


As part of this course, we will learn the power of Elasticsearch 8 and build blazing fast, intelligent search solutions! This comprehensive, hands-on course is designed for Java/Spring Boot developers who want to master full-text search, fuzzy matching, powerful aggregations and robust search engine architecture from the fundamentals to advanced topics.

Why Learn Elasticsearch?

  1. Power Modern Applications - Build scalable and intelligent search solutions for e-commerce, enterprise applications, and more.

  2. Unlock Career Growth - Advance your skills and open doors to high-demand roles like Staff and Principal Engineer.

  3. Effortless Scaling - Handle massive datasets and deliver lightning-fast search results.

What You will Learn:

  1. Core Concepts - Grasp essential Elasticsearch concepts like indexing, sharding, replication, and distributed search. How it works behind the scenes with concepts like Inverted Index & Segments.

  2. Full-Text Search Mastery - Master full-text search techniques, including BM25, tokenization, stemming, and boosting for optimal relevance.

  3. Aggregations - Uncover valuable insights with bucket, metric, range, and histogram aggregations.

  4. Data Modeling Excellence: Design efficient and effective data models using mappings, analyzers, and custom tokenizers.

  5. High-Performance Techniques: Optimize indexing and query performance to handle millions of documents efficiently.

  6. Autocomplete & Search Suggestions: Implement real-time search suggestions with completion suggesters and search-as-you-type features.

  7. Spring Boot Integration: Seamlessly integrate Elasticsearch into your Java applications using Spring Boot.

  8. Security & Scalability: Ensure secure and scalable search solutions with authentication, TLS, and best practices.

Hands-On Project

Apply your knowledge by building a Real World Search Engine with 5 Millions Documents using Spring Boot & Elasticsearch—with features like Auto Complete, Filtering & Providing Relevant Search Results.

By the end of this course, you will be confidently designing and deploying large scale, high performance search engines for real-world applications.

Start your Elasticsearch mastery today!

Course Content

  • 15 section(s)
  • 194 lecture(s)
  • Section 1 Introduction
  • Section 2 Elasticsearch Setup
  • Section 3 Elasticsearch Core Concepts
  • Section 4 Clustering / Sharding / Replication
  • Section 5 Bulk API
  • Section 6 Analyzer
  • Section 7 Data Mapping
  • Section 8 Full-Text Search
  • Section 9 Field Selection / Pagination / Sorting
  • Section 10 Aggregation / Facets
  • Section 11 Autocomplete / Suggestions
  • Section 12 Spring Boot / Elasticsearch Integration
  • Section 13 Final Project: Building Search Engine With 5 Million Records
  • Section 14 Security
  • Section 15 Whats Next?

What You’ll Learn

  • Core Elasticsearch Concepts - Indexing, sharding, replication, and distributed search, Full-Text Search & Relevance Tuning - BM25, tokenization, stemming, and boosting, Aggregations - Bucket, metric, range and historgram aggregations, Data Modeling - Mappings, analyzers, and custom tokenizers, Bulk Indexing & Query Optimization - Handling millions of documents efficiently, Autocomplete & Search Suggestions - Implementing completion suggesters and search as you type, Spring Boot Integration - Implement Elasticsearch-powered search in Java applications, Security & Scaling - Authentication, SSL/TLS


Reviews

  • V
    Viet-Hoang Pham
    5.0

    [2025/12/31]: Highly recommend to learn!! All the things that I like about this course are: - Very detailed course. - There are many theories in the lecture, but it wasn't boring. And they are the fundamental and foundation for later easier to code. Ideally, this course could include an extension on using Debezium and Kafka to update and sync data in the database with Elasticsearch data. If there's a follow-up course on this topic, I would definitely pay to take it. English isn't a problem; I can understand it, and it has subtitles, so it's fine.

  • M
    Mohammad Rajaul Islam
    5.0

    I really love this course. It felt like a meaningful and enjoyable journey, and I learned a lot step by step. The explanations were clear and practical, which made complex topics easier to understand. As a small suggestion, I would really appreciate it if you could add a reactive version of the Native Query Builder. Also, including a few lectures on what should be considered when building a production grade search application would make this course even more valuable. Thank you for such a well structured and insightful course.

  • M
    Mohammad Arif Iqbal
    5.0

    It was nice course with details and example. Way of explaining is excellent.

  • T
    Thuy Nguyen
    5.0

    The materials are very well-designed and organized. I like the way the instructor present the materials. It's very easy to follow. Thank you,

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