Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 22 Minute(s)
Language
English
Taught by
Vinoth Parthasarathy
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Master Elasticsearch 7 to 9, Logstash, Kibana, ES|QL, Vector Search & NLP – the Complete Guide to the Elastic Stack
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.
Course Content
- 6 section(s)
- 21 lecture(s)
- Section 1 Introduction
- Section 2 Dive into the functionality
- Section 3 Inside Cluster
- Section 4 Search in Depth
- Section 5 Aggregation - Having fun with statistics
- Section 6 Processing the events in Logstash
What You’ll 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
Skills covered in this course
Reviews
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AArpit Gite
Good
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IIhor Huk
-
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RRaju Thapa
It is a good tutorial explaining all concepts with practical example. Please add practical examples of vector based search as well.
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SSanjeev Prakash
Completed
