Elasticsearch 9 & Spring Boot: Search Engine Masterclass (Udemy.com)
Master Full-Text Search & Spring Boot by building a production-grade search engine handling 5M+ records from scratch.
Created by: Vinoth Selvaraj
Last updated September 2026
What you will 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 histogram aggregations
- Data Modeling - Mappings, analyzers, and custom tokenizers
- Bulk Indexing & Performance Tuning - Learn the exact strategies required to efficiently process and store over 5,000,000 records.
- Autocomplete & Search Suggestions - Implementing completion suggesters and search as you type
- Production-Grade Integration - Connect Spring Boot with Elasticsearch 9 to build, optimize, and scale a massive 5M+ record search application.
- Security & Scaling - Authentication, SSL/TLS
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 96 / 100
Course Description
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.
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As part of this course, we will learn the power of Elasticsearch 9 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?
Power Modern Applications - Build scalable and intelligent search solutions for e-commerce, enterprise applications, and more.
Unlock Career Growth - Advance your skills and open doors to high-demand roles like Staff and Principal Engineer.
Effortless Scaling - Handle massive datasets and deliver lightning-fast search results.
What You will Learn:
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.
Full-Text Search Mastery - Master full-text search techniques, including BM25, tokenization, stemming, and boosting for optimal relevance.
Aggregations - Uncover valuable insights with bucket, metric, range, and histogram aggregations.
Data Modeling Excellence: Design efficient and effective data models using mappings, analyzers, and custom tokenizers.
High-Performance Techniques: Optimize indexing and query performance to handle millions of documents efficiently.
Autocomplete & Search Suggestions: Implement real-time search suggestions with completion suggesters and search-as-you-type features.
Spring Boot Integration: Seamlessly integrate Elasticsearch into your Java applications using Spring Boot.
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!
Instructor Details
- 4.8 Rating
225 Reviews
Vinoth Selvaraj
I am a Principal Engineer with certifications as an AWS Certified Solutions Architect Associate, Certified Kubernetes Application Developer, and Google Cloud Engineer. I am passionate about software development, with a focus on building scalable, high-performance distributed systems and modern AI-powered applications.
My areas of interest include Java, Spring, Agentic AI, AI Agents, MCP (Model Context Protocol), Observability, Cloud Computing, and Distributed System Design. I enjoy simplifying complex engineering topics and creating practical, industry-focused courses for developers.
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Reviews
By Nirav Joshi on 7/13/2026
Overall really informative course. I will highly recommend this course if any individual/team don't have awareness about Elasticsearch and its usability with Spring Boot. It will be useful for experienced , medium experienced and completely fresher folks.
By Muhammad Khan on 4/4/2026
there can't be a simpler and straightforward explanation. you are doing great work sir. your lectures feel like hidden gem.
By Viet-Hoang Pham on 12/30/2025
[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.
By Mohammad Rajaul Islam on 12/20/2025
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.
By Thuy Nguyen on 12/5/2025
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,
By Vivekanand Alampally on 9/28/2025
Thank you so much – excellent course overall! The explanations and coding examples are clear and easy to follow. The only drawback is the lack of lecture notes. Having notes would make it much easier to revise and review key points, and I believe it would really make your courses stand out even more. Personally, I rely on notes for revision, so I truly hope this can be added in the future.
By Alok Kumar on 9/22/2025
I liked the course initially; everything is understandable easily. However, when the implementation starts with Spring, the complexity of understanding increases. One thing I disliked or not able to understood is direct use of specific classes and interfaces of elastic search. this confused me and decreased my motivation to learn its implementation. The internal working of elastic search is explained very well, credit for that. But for implementation part, it is very hard to know about elastic search classes, methods, lambdas' etc. just by seeing them for the first time. Ya, I agree that we have to checkout some documentation for those classes and methods but it could have been better if little bit information has been provided in the lectures itself. I would deduct 1.5 stars from the rating for that. 3.5 stars for Elastic Search explanation.
By Sai Charan Ganapavarapu on 6/14/2025
This course is covering concepts in detail and also having good hands on programming which gives better understanding of Elastic search.
By Gheorghe Craciun on 5/15/2025
This course is an absolute must for anyone serious about building robust and efficient search engine architectures. From the fundamentals of full-text search and fuzzy matching to the complexities of powerful aggregations, it covers a vast amount of ground with clarity and precision. The 'from scratch' approach is particularly valuable, as it equips you with a deep understanding of the underlying principles, allowing for truly customized and optimized solutions. The course materials are well-structured, the explanations are easy to follow, and the practical exercises solidify the concepts effectively. If you want to master search engine technology, look no further – this course is a 5-star gem!
By Amarjit Singh on 3/11/2025
One of the best resource that you can find on Elasticsearch. Covers the 'native' APIs and on top also covers Spring based communication.
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