Learners will index diverse content types, apply OCR processing, configure multilingual search, integrate Java applications, and implement advanced faceted search using Apache Solr. This course equips learners with the practical skills to build fast, scalable, and intelligent search solutions for real-world applications.

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What you'll learn
Index and search diverse content types using Apache Solr with OCR and multilingual support.
Integrate Solr with Java applications for programmatic indexing and query execution.
Implement advanced faceted search and optimize Solr for scalable, real-world search solutions.
Skills you'll gain
Details to know

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January 2026
12 assignments
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There are 3 modules in this course
This module introduces learners to the foundational concepts of Apache Solr, including its purpose, features, and core functionalities. Through guided walkthroughs of the Solr Admin UI, internal architecture, and essential OCR tools like Tesseract, learners will gain a solid understanding of how Solr processes, indexes, and retrieves information. The module builds a foundational knowledge base necessary for more advanced indexing and search tasks.
What's included
7 videos4 assignments
This module expands learners’ skills by demonstrating how Apache Solr indexes and searches a wide variety of file types, including PDFs, Word documents, multilingual text, images, and CSV files. Learners explore Solr’s integration with Apache Tika for content extraction and Tesseract for OCR, developing the ability to prepare, ingest, and query real-world document formats with precision.
What's included
12 videos4 assignments
This module enables learners to advance from foundational indexing to programmatic integrations, custom utilities, and search enhancements. Through hands-on Java interactions, document management workflows, content search techniques, and faceted search implementation, learners gain the ability to build scalable, real-world search solutions using Apache Solr.
What's included
9 videos4 assignments
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