
MICRO DEGREE
SIEM using ELK(Elastisearch, Logstash, and Kibana)
Be an expert at SIEM using ELK
100% LIVE Interactive Classes
Be an expert at SIEM using ELK

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:23 May 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
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Reserve your spot today!
Basic Info
Select Offers
Application closes on:23 May 2026
Get instant access of pre-course material!
Talk to Us
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Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Available in 4 monthly installments at $137/month
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Curriculum
Duration: 4 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- What is SIEM and Why It Is Critical for Modern SOCs
- SIEM vs SOAR vs XDR: Roles and Boundaries
- Elastic Stack Components: Elasticsearch, Logstash, Beats, Kibana
- SIEM Data Lifecycle: Collection, Parsing, Correlation, Alerting
- ELK Architecture for Small, Medium, and Enterprise SOCs
- Hands-on Overview: Deploying ELK and Exploring Security Data
Mentors

13+ Years, CyberSecurity Sr. Manager, PayTm
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic understanding of networking concepts (TCP/IP, DNS, HTTP)
Familiarity with Linux command line and basic system administration
Foundational knowledge of cybersecurity principles (firewalls, IDS/IPS, log analysis)
Basic understanding of log formats and common security event types
Outcomes
Deploy and configure the ELK Stack (Elasticsearch, Logstash, Kibana) as a fully functional SIEM platform
Build real-time log ingestion pipelines using Logstash and Beats agents for diverse security data sources
Parse and normalize heterogeneous security logs using Logstash filters and Grok patterns
Create advanced Kibana dashboards and visualizations for real-time security event monitoring
Implement custom threat detection rules and correlation searches using Elasticsearch queries and KQL
Perform proactive threat hunting using Elasticsearch Query DSL and Kibana Discover
Design scalable and resilient ELK architectures suitable for enterprise-grade SIEM deployments
Analyse and triage security incidents by correlating events across multiple log sources within ELK
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Enterprise SIEM Deployment for Retail Fraud Detection
Design and deploy a complete ELK-based SIEM solution to monitor a retail e-commerce platform. Ingest web server logs, payment transaction records, and authentication events using Filebeat and Logstash, then build Kibana dashboards and Elasticsearch detection rules to identify fraudulent activity patterns and anomalies in real time.
Multi-Source Cloud Infrastructure Security Monitoring
Build a comprehensive SIEM system that ingests and correlates security logs from cloud services (AWS CloudTrail, Azure Activity Logs), network devices, and security tools. Configure Logstash parsing pipelines, create correlation searches in Elasticsearch, and develop a Kibana SOC dashboard to detect and respond to cloud-based threats.
Endpoint Threat Hunting and Detection Engineering
Conduct advanced threat hunting on endpoint telemetry collected via Winlogbeat and Filebeat. Use Elasticsearch Query DSL and KQL in Kibana to investigate indicators of compromise, detect living-off-the-land techniques, and build custom detection rules for advanced persistent threats across Windows and Linux endpoints.

for successfully completing the 'SIEM using ELK(Elastisearch, Logstash, and Kibana)' course conducted from 24 Apr 2026 to 22 May 2026
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for successfully completing the 'SIEM using ELK(Elastisearch, Logstash, and Kibana)' course conducted from 24 Apr 2026 to 22 May 2026

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Frequently Asked Questions
Everything you need to know about the course
You should have a basic understanding of networking concepts (TCP/IP, DNS, HTTP), familiarity with the Linux command line, and foundational cybersecurity knowledge such as understanding firewalls, IDS/IPS, and log types. No prior experience with the ELK Stack is required.
The course covers ELK Stack architecture and deployment, log ingestion pipelines using Logstash and Beats (Filebeat, Winlogbeat), log parsing with Grok patterns, Kibana dashboard creation, Elasticsearch Query DSL and KQL for threat hunting, custom detection rule development, event correlation, scalable SIEM architecture design, and security incident investigation workflows.
The course runs for 4 weeks and is designed for working professionals. You should plan to dedicate approximately 8-10 hours per week, which includes video lessons, hands-on labs, mentor-guided sessions, and project work.
You will deploy and configure a full ELK-based SIEM system, build log ingestion pipelines, parse diverse security log formats, create real-time monitoring dashboards in Kibana, write custom detection rules, and complete three industry-relevant projects covering fraud detection, cloud security monitoring, and endpoint threat hunting.
This course prepares you for roles such as Security Analyst, SOC Analyst, Security Engineer, Incident Response Specialist, and Threat Hunter. ELK-based SIEM skills are in high demand across industries, and the hands-on project portfolio you build will demonstrate practical, job-ready expertise to employers.
You will work extensively with Elasticsearch, Logstash, and Kibana (the ELK Stack), along with Beats agents including Filebeat and Winlogbeat for log collection. You will also use Elasticsearch Query DSL and Kibana Query Language (KQL) for searching, analyzing, and hunting through security data.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in SIEM using ELK(Elastisearch, Logstash, and Kibana).
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
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