Hands-On Introduction to OpenSearch

This hands-on course provides a practical introduction to OpenSearch, the open-source search and analytics engine designed for building powerful search experiences and analyzing large volumes of data.

If you've ever wanted to add full-text search to an application, explore and analyze data, or understand how modern search engines work, this course is for you.

We focus on learning by doing. There are no theory-heavy slides or unnecessary complexity. Instead, you'll work directly with OpenSearch from the very beginning and build practical search solutions step by step.

We'll start by setting up OpenSearch locally and understanding the basic architecture and concepts behind search engines. From there, we will create indexes, add documents, and perform our first searches.

Throughout the course, you'll learn how to work with:

• Indexes and documents

• Full-text search

• Filters and compound queries

• Mappings and field types

• Text analyzers

• Relevance and scoring

• Multi-field searches

• Aggregations and analytics

• OpenSearch Dashboards

You'll learn how OpenSearch processes text, how mappings and analyzers affect search behavior, and how relevance scoring determines which results are returned first.

We'll also explore aggregations that allow you to analyze your data beyond individual search results and use OpenSearch Dashboards to visualize and explore the information stored in your indexes.

Everything is explained through practical examples designed to help you understand not only how to use OpenSearch, but also how its core concepts work together when building real search solutions.

By the end of this course, you'll be able to confidently index data, build powerful search queries, analyze information using aggregations, create visualizations, and apply OpenSearch to your own projects.

If you want a clear, beginner-friendly, and hands-on introduction to search and analytics with OpenSearch, this course is for you.