Learn Elasticsearch from scratch and begin learning the ELK stack (Elasticsearch, Logstash & Kibana) and Elastic Stack.
InstructorBo Andersen
Free
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
A word cloud on a light green background lists core Elasticsearch concepts such as sharding, mapping, and full-text searches in varied font sizes.
A central search interface displaying the query elasticsearch is awesome! with dropdown suggestions, surrounded by abstract data visualization icons on a green background.
Instruction spans term-level, full-text, and boolean logic queries, including advanced proximity searches.
Covers essential cluster mechanics such as sharding, replication, and various node roles.
The teaching approach can feel like reading from a textbook, which may be difficult to follow for extended periods.
The curriculum lacks integrated application projects or interactive coding exercises to test understanding independently.
One signal from late 2025 suggests some content may not align with the latest ES8 syntax; however, the January 2026 update label does not prove this has been corrected.
The curriculum aligns with the goal of teaching developers Elasticsearch fundamentals and architecture.