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Course Overview
This specialization provides a comprehensive introduction to the Elastic Stack, covering Elasticsearch, Logstash, Kibana, and AWS deployment. Through hands-on projects, you'll learn how to build scalable search solutions, model and query data efficiently, visualize insights, and deploy cloud-based applications using AWS services. By combining search technologies with cloud deployment and CI/CD practices, the program prepares learners to build production-ready data analytics and search applications.
Topics Covered
Elasticsearch: Build, Query & Optimize with ELK: Learn the fundamentals of Elasticsearch, including cluster configuration, indexing, mappings, custom analyzers, and advanced query techniques. You'll also integrate Elasticsearch with Logstash and Kibana to build scalable search and analytics solutions.
Elasticsearch Joins & Parent-Child Queries: Explore advanced data modeling techniques using nested objects, parent-child relationships, and Elasticsearch mappings. This course focuses on optimizing complex queries, improving search performance, and implementing relational-style data structures within Elasticsearch.
AWS Elastic Beanstalk & CI/CD for Cloud Projects: Learn how to deploy cloud applications using AWS Elastic Beanstalk, automate software delivery with AWS CodePipeline and Git, and integrate APIs, databases, and real-time visualizations into scalable cloud-native applications.
Who Will Benefit
- Backend developers: Those who want to build scalable search solutions and integrate Elasticsearch into modern web applications.
- DevOps and cloud engineers: Professionals looking to automate deployments and manage cloud applications using AWS Elastic Beanstalk and CI/CD pipelines.
- Data engineers and search engineers: Those interested in designing efficient data models, optimizing search performance, and working with the Elastic Stack.
- Students and aspiring software engineers: Learners preparing for careers in cloud computing, search technologies, data engineering, or DevOps through hands-on projects and real-world applications.
Why Take This Course
Efficient search, real-time analytics, and cloud-native deployment have become essential components of modern software systems. This specialization offers a practical learning path that combines Elasticsearch, Logstash, Kibana, and AWS to help you build scalable search applications from the ground up. Through project-based exercises, you'll learn to optimize search queries, model complex datasets, visualize data, and automate cloud deployments using CI/CD pipelines. By the end of the program, you'll have the practical skills to develop, deploy, and manage enterprise-grade search and analytics solutions in production environments.
