What you'll get
- 16+ Hours
- 5 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Master Elasticsearch, Logstash, and Kibana (ELK Stack)
- Learn data indexing, transformation, search, and visualization
- Deploy and manage applications with AWS Elastic Beanstalk
- Work on real-world projects and industry case studies
- Build scalable, cloud-ready, data-driven systems
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Elasticsearch Tutorials Module #1 - Queries | 10h 42m | ✔ | View Curriculum |
| Elasticsearch Tutorials Module #2 - Elastic Relations | 3h 38m | ✔ | View Curriculum |
| Project on Elasticsearch: Flight Monitoring During COVID-19 Pandemic | 37m | ✔ | View Curriculum |
| Project on AWS Elastic Beanstalk: Speeding Up The Application Deployment Process | 1h 47m | ✔ | View Curriculum |
| Project on Elastic Beanstalk: Application Creation and Launching | 55m | ✔ | View Curriculum |
Description
This course provides an end-to-end learning path for mastering the Elastic Stack, Elasticsearch, Logstash, and Kibana, along with cloud deployment using AWS Elastic Beanstalk. Learners gain both conceptual understanding and hands-on experience in managing large-scale data, building search-driven applications, visualizing insights, and deploying scalable applications in cloud environments. Through guided labs, real-world case studies, and projects, participants learn to design, operate, and optimize production-ready data and application systems.
Goals
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Build a strong foundation in Elastic Stack components
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Enable scalable data storage, search, and visualization
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Develop cloud deployment skills using AWS Elastic Beanstalk
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Prepare learners for real-world data, DevOps, and cloud roles.
Objectives
By the end of the course, learners will be able to:
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Set up, configure, and optimize Elasticsearch clusters
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Design efficient indices and perform advanced searches
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Ingest and transform data using Logstash and Filebeat
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Visualize and monitor data using Kibana dashboards
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Deploy and manage applications with AWS Elastic Beanstalk.
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Apply Elastic Stack solutions to real-world business use cases.
Highlights
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Complete coverage of Elasticsearch, Logstash, and Kibana
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Hands-on projects, including flight monitoring and log analytics
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Real-world AWS Elastic Beanstalk deployment case studies
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Data ingestion, transformation, indexing, and visualization
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Scalable architecture and performance optimization techniques
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Industry-relevant labs and guided implementations.
Requirements
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Basic understanding of data management concepts
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Familiarity with cloud computing fundamentals
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Command-line (CLI) knowledge
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Introductory programming skills (Python/Java preferred)
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Basic knowledge of REST APIs, JSON, and web technologies
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A computer with Windows, macOS, or Linux and sufficient storage.
Target Audience
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Data Engineers and Data Analysts
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DevOps Engineers and Cloud Engineers
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System and IT Administrators
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Software Developers
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Cloud and Solution Architects
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Students and aspiring IT professionals
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Beginners interested in Elastic Stack and application monitoring.
FAQ
Q1. Do I need prior experience with Elastic Stack?
No. The course starts with fundamentals and gradually moves to advanced concepts.
Q2. Is AWS experience mandatory?
Basic cloud knowledge helps, but the course teaches AWS Elastic Beanstalk concepts from scratch.
Q3. Does the course include hands-on projects?
Yes. It includes real-world projects, labs, and case studies.
Q4. Can this course help with DevOps or data roles?
Yes. It is highly relevant for DevOps, data engineering, and cloud-focused roles.
Q5. Will I learn real-time data and log monitoring?
Yes. The course covers real-time data ingestion, monitoring, and visualization using ELK.
Career Benefits
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Job-ready skills in Elastic Stack and cloud deployment
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Strong foundation for roles in Data Engineering, DevOps, and Cloud Computing
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Ability to build scalable, search-driven, and monitored applications
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Hands-on experience with real-world industry use cases
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Improved employability in data, cloud, and infrastructure-focused roles
