Splunk IT Service Intelligence (ITSI) Training


SPLUNK-ITSI Certification Training Course Overview

Enroll for 4-day Splunk IT Service Intelligence (ITSI) certification training course from Koenig Solutions accredited by Splunk . Splunk IT Service Intelligence course is designed for consultants to install and configure Splunk’s app for IT Service Intelligence.

Through a blend of hands-on labs and interactive lectures, you will be able to learn to use ITSI to monitor mission-critical services. Topics include ITSI architecture, deployment planning, installation, service design and implementation, configuring entities, notable events, and developing glass tables and deep dives.

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Splunk IT Service Intelligence (ITSI) Training Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 4 Days (8 Days for 4 Hours/Day)
Fee : 1,600 (Includes Taxes) 
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




February
8 Hours/Day
4 Hours/Day
01-04
07-10
01-10
07-16
March
8 Hours/Day
4 Hours/Day
01-04
07-10
08-11
01-10
07-16
08-17
April
8 Hours/Day
4 Hours/Day
05-08
11-14
12-15
05-14
11-20
12-21
Client's Location
As per mutual convenience

Classroom training is available in select Cities
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

  • Splunk Fundamentals 1.
  • Splunk Funamentals 2.
  • Splunk Enterprise System Administration.
  • Splunk Enterprise Data Administration.


Target Audience:

  • Candidate working as Consultants.
  • Candidate working as IT administrators.
  • Candidate working as Business Analysts
  • Candidate having Business Intelligence experience
  • Anyone whose role requires them to create complex search queries, advanced data models and reports with Splunk who have limited exposure to regular expressions.

Learning Objectives

After completing this course, you will be able to:

  • ITSI architecture and deployment.
  • Installing ITSI.
  • Designing Services-discovery and best practices.
  • Implementing services and entities.
  • Configuring correlation searches and multi KPI alerts.
  • Managing aggregation policies and anomaly detection.
  • Troubleshooting and maintenance.