ATTENTION: If you are part of the LaaS Cert program, the training does not include an exam
Elastic Certified Engineer Course: Advanced Engineering in Elastic search and Observability - The Exam Experience Included
Course Overview
The Elastic Certified Engineer: Advanced Engineering in Elasticsearch and Observability course is designed for IT professionals seeking to specialize in the development, administration, and optimization of Elasticsearch-based solutions within the Elastic Stack ecosystem. This training enables participants to acquire key competencies for designing scalable architectures, managing large data volumes, and building advanced search and analytics solutions.
During the course, you will learn to work with indexes, queries, aggregations, and data pipelines, as well as efficiently manage Elasticsearch clusters. You will also delve into observability techniques, monitoring, and real-time analysis, which are fundamental in modern data environments.
The practical approach of this training allows students to apply concepts in real-world scenarios, preparing them to face professional projects and Elastic certification processes with confidence.
Virtual course with included certification exam and exam simulator
What Nanfor courses include
Nanfor courses are designed to offer a professional and practical learning experience aligned with the most in-demand technological certifications. This training includes structured content, updated materials, and access to a virtual campus that allows flexible and progressive study. Students have access to resources focused on both individual study and preparation for certification.
Nanfor is committed to a clear methodology, focused on concepts, applied practice, and a real understanding of the platform. All content is aimed at facilitating knowledge validation and enabling students to transfer what they have learned to their professional environment from day one.
Learn about all components
Advantages of Elastic training
Elastic training provides strategic advantages for IT professionals and businesses. It allows for the management of large amounts of data in real-time, optimization of search processes, and improvement of information analysis capabilities.
Proficiency in Elasticsearch enables the development of efficient search applications, implementation of monitoring systems, and improved data-driven decision-making. Furthermore, unified observability facilitates problem detection in complex systems, enhancing infrastructure stability.
Another key advantage is the high demand for certified professionals, which increases employment opportunities and professional specialization in cloud, DevOps, and data analytics environments.
Prerequisites
To get the most out of this course, it is recommended to have previous experience in system administration and basic programming knowledge. Familiarity with database concepts, REST APIs, and Linux environments is also advised.
Prior experience with Elasticsearch is not mandatory, but a solid technical foundation that allows for understanding distributed systems architecture is recommended.
General Course Information
👨Who is this course for?
This course is aimed at system administrators, DevOps engineers, software developers, data architects, and IT professionals who want to specialize in Elasticsearch and observability solutions.
It is also ideal for profiles seeking to become Elastic Certified Engineers or enhance their skills in data management and advanced analytics.
🎯 Training Objectives: What will you learn?
Upon completion of this training, you will be able to design and implement complete solutions based on Elastic Stack, manage clusters, and optimize search queries.
You will learn to index data, build ingestion processing pipelines, perform complex queries, and analyze information through aggregations. You will also acquire skills to manage the security, scalability, and performance of Elasticsearch systems.
Furthermore, you will understand how to apply observability strategies to monitor infrastructures and applications in real-time.
📚Elastic Certified Engineer Course Content - Program
Unit 1. Advanced Elasticsearch Architecture
Objective: Understand the internal workings of the cluster to design and diagnose
Content
- Node types (master, data, ingest, coordinating)
- Shards and replicas in depth
- Cluster state
- Shard allocation and balancing
Practice
- Multi-node cluster deployment
- Simulation of node failure and recovery
Unit 2. Cluster installation and configuration
Objective: Configure real production environments
Content
- Multi-node installation
- Configuration of
elasticsearch.yml
- Discovery and cluster formation
- Memory configuration (heap)
Practice
- Create a 3-node cluster
- Adjust memory and validate behavior
Unit 3. Advanced data ingestion
Objective: Master the complete data input flow
Content
- Ingest pipelines
- Processors (grok, date, set, rename…)
- Reindex API
- Data streams
Practice
- Create a complete ingestion pipeline
- Transform data in real-time
- Reindex with structure changes
Unit 4. Mapping and advanced analysis
Objective: Optimize search performance
Content
- Field types
- Custom analyzers
- Tokenizers and filters
- Dynamic vs explicit mapping
Practice
- Create custom analyzer
- Compare search results with different mappings
Unit 5. Lifecycle Management (ILM)
Objective: Manage storage growth and cost
Content
- Index Lifecycle Management (ILM)
- Policies: hot, warm, cold, delete
- Automatic rollovers
Practice
- Create ILM policy
- Simulate data evolution over time
Unit 6. Snapshots, backup and restore
Objective: Ensure recovery from failures
Content
- Snapshot repositories
- Incremental backups
- Partial and full restoration
Practice
- Create a full snapshot
- Restore to a new cluster
Unit 7. Security in Elasticsearch
Objective: Configure secure access in real environments
Content
- Users and roles
- Index access control
- Security configuration (basic TLS)
Practice
- Create roles by profile
- Restrict data access
Unit 8. Monitoring and troubleshooting
Objective: Diagnose and resolve problems (key for certification)
Content
- Cluster states (green, yellow, red)
- Unassigned shard problems
- Slow queries
- Logs and metrics
Practice
- Diagnosis of a cluster in critical state
- Resolution of real errors
Exam Preparation Phase
Unit 9. Elastic Certified Engineer Exam Strategy
Content
- Practical exam format
- Time management
- Efficient use of official documentation
- Common mistakes
Unit 10. Exam Simulation (Mock 1)
Practice
- Index creation
- Pipeline configuration
- Cluster problem resolution
Unit 11. Exam Simulation (Mock 2)
Practice
- Reindexing
- ILM configuration
- Backup and restore
Unit 12. Final exam simulation
Complete evaluation
- Real scenario
- Autonomous resolution
- Correction based on certification criteria
Deliverables
- Step-by-step lab guides
- Resolution templates
- Unit checklists
- Collection of frequent commands
- Structured access to official documentation
🌐Language
The course is taught in Spanish, with adapted technical terminology and clear explanations, facilitating progressive learning and understanding of the concepts evaluated in the official certification.
ℹ️Do you want to take this course? Request information now
If you want to take this course in virtual mode, you can purchase it at the top of the product page. For any questions, please contact us.
If you want to take this course in face-to-face or telepresence mode, please contact us:
Why choose Nanfor as a specialized IT training center?
Nanfor is an IT training center specializing in IT technologies with extensive experience in advanced technical training. Our programs are designed to offer practical, up-to-date learning aligned with the needs of the job market.
We have results-oriented methodologies, high-quality content, and a student-centered approach that facilitates the acquisition of real professional skills.
Our training in technologies like Elastic allows students to improve their employability, specialize in high-demand areas, and advance their professional careers.
❓Frequently Asked Questions
Is prior experience with Elasticsearch necessary for this course?
It is not mandatory, but basic knowledge of systems and databases is recommended to make the most of the training.
Does this course prepare for the Elastic Certified Engineer certification?
Yes, the content is aligned with the main objectives evaluated in the certification, including data management, queries, and cluster administration.
What career opportunities does this training offer?
It provides access to roles such as data engineer, DevOps specialist, systems administrator, or observability expert.
Does the course include practical training?
Yes, the course includes exercises and real-world scenarios to apply the acquired knowledge in simulated environments.
What benefits does learning Elastic bring in a professional environment?
It allows working with large volumes of data, improving system monitoring, and developing real-time analytics solutions, highly sought-after skills in today's IT market.
What types of certifications does Elastic offer?
Elastic offers several certifications focused on different roles and specialties. Among the most relevant are:
-
- Elastic Certified Engineer: focused on the administration and implementation of Elasticsearch and the Elastic Stack.
- Elastic Certified Observability Engineer: oriented towards instrumentation, collection, and analysis of observability data.
- Elastic Certified Security/Endpoint Security Analyst: aimed at detecting and responding to threats using Elastic Security capabilities.
How much does the Elastic Certified Engineer certification exam cost?
The official Elastic Certified Engineer exam is included with the course, provided it is purchased individually or outside of special programs.
📌 Exception: when the course is taken as part of the LaaS Cert program, the exam is not included and must be purchased independently through official Elastic channels. It is recommended to check the updated price and official conditions directly on the Elastic Training & Certification website before enrolling.
