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Elasticsearch Masterclass: ES|QL, Vector, and More
Master Elasticsearch 7 to 9, Logstash, Kibana, ES|QL, Vector Search & NLP – the Complete Guide to the Elastic Stack

This Course Includes
udemy
4.6 (971 reviews )
6h 22m
english
Online - Self Paced
professional certificate
Udemy
About Elasticsearch Masterclass: ES|QL, Vector, and More
Learn Elasticsearch the right way — from fundamentals to the latest advancements in version 9.x. This masterclass gives you everything you need to build scalable search and analytics solutions using the
full Elastic Stack
(Elasticsearch, Logstash, and Kibana), while also covering
cutting-edge features
like
ES|QL
,
vector search
,
semantic search with NLP
, and
Lucene 10 optimizations
. Whether you're indexing logs, powering search for an application, or working with large-scale analytics pipelines, this course is designed to give you both
deep technical understanding
and
hands-on experience
. This course is fully updated and future-proof — ideal for developers, DevOps engineers, analysts, and anyone looking to master Elasticsearch from version 7 to 9 and beyond. Here's what makes this course different:
Covers Elasticsearch 7, 8, and 9
— with clear distinctions between versions
Includes
real-world examples
and guided walkthroughs (no boring slides)
Introduces
ES|QL
— the powerful new piped query language in Elasticsearch 8.15+
Teaches
vector search
and
semantic ranking
using NLP models like BERT
Explains the impact of
Lucene 10
under the hood for faster search and indexing
Uses
Kibana and Logstash
for visualization and data ingestion Whether you're building an intelligent search engine, an observability pipeline, or simply want to gain mastery over structured and unstructured data search, this course is built for you. Updated regularly to keep pace with Elasticsearch releases, this is the most complete and up-to-date resource you’ll find online.
Enroll today and start building powerful search solutions with confidence.
What You Will Learn?
- Understand the core architecture of Elasticsearch and how it works under the hood .
- Master indexing, searching, updating, and deleting documents .
- Write complex and performant queries using Elasticsearch Query DSL and ES|QL .
- Perform semantic search using NLP models and vector similarity (ANN search) .
- Ingest and process data using Logstash from multiple sources .
- Visualize and analyze real-time data using Kibana dashboards .
- Apply full-text search, filters, aggregations, and scoring in real-world scenarios .
- Understand how Lucene powers Elasticsearch and what’s new in Lucene 10 .
- Build scalable, production-grade search and analytics applications .
- Keep up with Elasticsearch 7, 8, and 9 version-specific features and best practices.