This specialization provides a complete pathway to mastering the Elastic Stack—covering Elasticsearch, Logstash, Kibana, and AWS deployment. Learners will design scalable data models, construct complex queries, and visualize real-time insights. Through guided, project-based lessons, you’ll gain hands-on experience in cluster management, CI/CD automation, and Elastic Beanstalk deployments. By the end, learners will have built and optimized real-world data pipelines for analytics and monitoring across distributed cloud environments.
Elastic Stack Mastery with Elasticsearch & AWS Specialization
Elastic Stack Mastery with Elasticsearch & AWS Specialization
Build Scalable Search & Cloud Solutions. Design, query, and deploy data-driven cloud applications using Elasticsearch and AWS tools.
Instructor: EDUCBA
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Design, configure, and optimize Elasticsearch clusters and queries for scalable data retrieval.
Apply advanced relational modeling using nested and parent-child queries within Elasticsearch.
Deploy and automate full-stack applications using AWS Elastic Beanstalk and CI/CD pipelines.
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
October 2025
38 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from EDUCBA
Specialization - 3 course series
What you'll learn
Configure clusters and manage data with Elasticsearch APIs.
Build custom analyzers and execute advanced geo queries.
Integrate Elasticsearch with Logstash and Kibana for analytics.
Skills you'll gain
NoSQL, Performance Tuning, JSON, Kibana, Query Languages, Data Modeling, Application Programming Interface (API), Geospatial Information and Technology, SQL, Scalability, Distributed Computing, Real Time Data, and System Configuration
What you'll learn
Apply nested and parent-child queries for data modeling.
Optimize Elasticsearch joins and query performance.
Implement relational-style data structures using mappings.
Skills you'll gain
Performance Tuning, JSON, Relational Databases, Event-Driven Programming, Scalability, Data Modeling, Query Languages, Data Mapping, and NoSQL
What you'll learn
Configure CI/CD pipelines using AWS CodePipeline and Git.
Deploy scalable apps with AWS Elastic Beanstalk.
Integrate APIs, databases, and real-time visualizations.
Skills you'll gain
Amazon Web Services, Development Environment, Cloud Applications, Database Development, Application Programming Interface (API), Real Time Data, DevOps, Git (Version Control System), Version Control, Interactive Data Visualization, Application Deployment, Continuous Deployment, Cloud Development, CI/CD, and Continuous Integration
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
The Specialization can typically be completed in approximately 11 to 12 weeks, with a recommended study commitment of 3–4 hours per week. This flexible, self-paced schedule allows learners to progressively build expertise in Elasticsearch, Logstash, Kibana, and AWS deployment. Each course combines theoretical concepts with practical, project-based exercises—ensuring learners can apply their skills to real-world data analysis, search optimization, and cloud automation scenarios by the end of the program.
A foundational understanding of databases, data analytics, or cloud computing concepts is recommended. Familiarity with basic programming and command-line operations will also help learners navigate Elasticsearch queries and AWS deployments more effectively.
Yes. The courses are structured to build progressively—from foundational Elasticsearch concepts to advanced data modeling and finally, real-world cloud deployment. Completing them in sequence ensures a smooth learning experience and a strong grasp of interconnected concepts across the Elastic Stack ecosystem.
More questions
Financial aid available,