Mastering Elasticsearch: From Basics to Certification

Do you want to build Google-like search engines, analyze massive datasets, and prepare for the Elastic Certified Engineer Exam—even if you’re starting from scratch? This course takes you from absolute beginner to advanced professional, with real-world projects, hands-on labs, and a step-by-step learning path. By the end, you’ll not only understand Elasticsearch—you’ll be ready to use it in production and boost your career. What You’ll Learn - Set up and scale Elasticsearch clusters - Master powerful search queries and aggregations - Ingest and enrich data from different sources - Secure your cluster with authentication, authorization, and TLS - Monitor performance, troubleshoot issues, and ensure high availability - Build real projects: from log analytics dashboards to search engines - Prepare with practice exams and quizzes to ace your certification Why This Course? - Comprehensive: covers both development and administration (queries, indexing, DevOps, security, monitoring) - Practical: every section includes hands-on labs and case studies you can reuse in your job - Certification-focused: everything you need to confidently pass the Elastic Certified Engineer Exam - Future-proof: applicable to search engines, observability platforms, SIEM, and time-series analysis After This Course, You Will: - Build and deploy Elasticsearch solutions in real projects - Solve complex search and analytics problems at scale - Secure and monitor clusters like a pro - Be job-ready and certification-ready This is not just another tutorial. It’s your complete roadmap to becoming an Elasticsearch expert—whether you’re aiming for a better job, a new skillset, or an industry-recognized certification.

What you'll learn:

• Mastering Elasticsearch from A to Z, from installation to advanced administration
• Install and configure the Elastic Stack (Elasticsearch, Kibana, and more)
• Index, search, and efficiently manipulate data using mappings and ingest pipelines
• Optimize search queries with aggregations, analyzers, and transformations
• Implement advanced index management strategies (ILM, reindexing, cross-cluster replication)
• Secure and manage an Elasticsearch cluster to ensure performance and reliability
• Prepare effectively for the Elastic Engineer certification with a practice exam and feedback from experience
• Configure automatic notification mechanisms
• Size an Elasticsearch cluster
• Diagnose a failed Elasticsearch cluster
• Back up and restore data in Elasticsearch