Splunk certification training includes both Admin and Developer responsibilities of a Splunk Expert. It helps you master Configuration, Clustering, Search, Alerts and Dashboards Creation while working on real-life use-cases.

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Weekend $350

Training Features

Instructor-led Sessions

18 Hours of Online Live Instructor-Led Classes. Weekend Class : 6 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of Splunk.


Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

24 x 7 Expert Support

We have 24x7 online support team available to help you with any technical queries you may have during the course.


Our Expert certifies you as a Certified Splunk Expert based on the project reviewed by our expert panel.


We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.

Course Description

The Splunk certification training is specially designed to provide the requisite knowledge and skills to become a Splunk expert. The course encompasses fundamental concepts of Licensing, Indexing, Roles & Authentication, along with advanced topics like Clustering, Reports & Dashboards.

Splunk is a leading analytics, monitoring, and data visualization tool. This training certifies and helps you to grab top paying Splunk Admin/Developer jobs. This training also makes Splunk the ideal strategic platform for companies looking to solve data analytics issues of any size. You can easily implement Splunk in your organization upon completion of this course.


This course is designed for IT professional who wishes to learn Splunk. It is ideal for:

1. IT Operations, IT Monitoring, IT Support and Data Center teams

2. Developers and Analysts who want to gain knowledge of Splunk development for creating apps and dashboards.

You can check a blog related to What Is Splunk? A Beginners Guide To Understanding Splunk

Having Hadoop Admin skills is a highly preferred learning path after the Splunk training. Check out the upgraded Hadoop Admin Course details.

As such, there are no pre-requisites for learning Splunk. However, it is highly recommended for professionals coming from IT Operations and analytics domain.



As such, there are no pre-requisites for learning Splunk. However, it is highly recommended for professionals coming from IT Operations and analytics domain.

After completion of the Splunk course at Addilearn, you will be able to:

1. Understand Splunk Admin/Developer concepts

2. Apply various Splunk techniques to visualize data in different kinds of graphs and dashboards

3. Implement Splunk in the organization to analyse and monitor systems

4. Configure alerts and reports for monitoring purposes

5. Troubleshoot different application issues using SPL (Search Processing Language)


Your system should have 4GB RAM and i3 processor or above. 


The software can be downloaded and installed for free from www.splunk.com. The detailed installation guides are also provided in the LMS for setting up the environment. In case you come across any doubt, the 24*7 support team will promptly assist you.

As part of the course, you will get an opportunity to work on a live project where you can leverage Splunk concepts in real life.
Project: Splunk Implementation
Industry: Employee Details Management
Data: Log Files
Problem Statement: Setup and configure Splunk with the different log file inputs. Once the inputs are setup, Alerts, Reports and Dashboards should be created.

For executing the practicals a detailed installation guide is provided in the LMS for setting up the SAS University Edition software environment which has a lifetime validity. In case you come across any doubt, the 24*7 support team will promptly assist you.


Learning Objectives - In this module, you will understand the basic concepts of Splunk, Splunk licensing, Configuration files and How to install and configure Splunk search heads, indexer and forwarders.

Topics - Introduction to the course, What is Splunk? Prerequisites, Setting up Splunk search head, indexer, Setting up Splunk forwarder, Splunk Licensing, Configuration files on Linux, Configuration files on Windows, Difference between Linux and Windows OS in Splunk configuration. Types of files supported in Splunk: Common Splunk configuration files, Configuring inputs.conf and outputs.conf, Configuring props.conf, Configuring index.conf, Configuring savedsearches.conf

Learning Objectives - In this module, you will learn about creating and managing users, clustering and indexes. Also you will learn about the admin role in managing Splunk and coordinating with Splunk support.

Topics - User creation and management, Managing indexes, Importance of roles, Different permissions of each indexes, Splunk development concepts, Roles and responsibilities of Splunk Developer, How to configure LDAP authentication in Splunk. Admin role in managing Splunk, What is alert? Reports and dashboards, Coordinating with Splunk Support, Implement Search Head Clustering, Implement Indexer Clustering

Learning Objectives - In this module, you will learn basic and advanced Splunk queries and use different keywords to search and filter indexed data based on any individual team requirement.

Topics - Different keywords, Splunk Basic search queries and using various commands to perform searches: fields, table, rename, rex&erex, multikv. Usage of following commands and their functions: Top, Rare, Stats, Addcoltotals, Addtotals. Explore the available visualizations, Creation of charts and timecharts, Omit null values and format results.

Learning Objectives - In this module, you will learn about overview of creating and defining lookups, fields extraction , Omit null values and format results , using eval command etc.

Topics - Using eval command, Perform calculations, Value Conversion, Round values, Format values, Conditional statements, Filtering calculated results, Raw Data Manipulation, Extraction of Fields, What are lookups? Lookup file example, Creating a lookup table, Defining a lookup, Configuring an automatic lookup, Using the lookup in searches and reports

Learning Objectives - In this module, you will learn to create reports and dashboards along with different visualization 

Topics - Explore the available visualizations, Creating reports and charts, Creating dashboards and adding reports.

Goal: You will learn the analysis of your statistical data with advanced SAS procedures

Objective: At the end of this module, you should be able to:

• Explain Statistical Procedures

• Define priorities to your statistical data

• Discuss statistics associated with a variable

• Express correlation between two or more variables 


• Proc Dataset

• Proc Format

• Proc Sort

• Proc Means

• Proc Freq

• Proc Surveyselect

• Proc Transpose

• Proc Summary

• Proc Rank

• Proc Corr

• Proc Univariate

Hands On:

• Obtaining statistical means of variables

• Checking the degree of dependence within different variables

• Generating ranks for statistical data

• Performing re-structuring of data

• Conducting sampling: Random and Stratified

Goal: You will learn to reduce the degree of complexity of a problem by developing& resolving optimization models and ultimately routing detailed presentation output from SAS in desired formats and destination. 

Objective: At the end of this module, you should be able to:

• Discuss data optimization

• Acquire optimized models for complex problems

• Resolve optimization models

• Describe the Output Delivery System in SAS

• Explain the use of ODS statement for creation of different file types


• What is Data Optimization?

• Realizing Optimization Models

• Using Proc Optmodel

• Solving the Rosenbrock Problem

• Introduction to ODS

• Benefits of using ODS

• Generating rtf file

• Generating pdf file

• Generating html file

• Generating doc file

Hands On:

• Writing a program with PROC OPTMODEL

• Solving the optimization model using SOLVE

• Extracting optimized outputs 

• Routing quality presentation files

• Create html files

• Create rtf file

• Create pdf and doc files

Learning Objectives - In this module, you will understand the day to day cluster administration tasks, balancing data in a cluster, protecting data by enabling trash, attempting a manual failover, creating backup within or across clusters, safeguarding your meta data and doing metadata recovery or manual failover of NameNode recovery, learn how to restrict the usage of HDFS in terms of count and volume of data, and more.

Topics – Key admin commands like Balancer, Trash, Import Check Point, Distcp, data backup and recovery, enabling trash, namespace count quota or space quota, manual failover or metadata recovery.


AddiLearn is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.


All the instructors at AddiLearn are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by AddiLearn for providing an awesome learning experience.