• IT Service Intelligence analyst user training
• Deployment and Initial Configuration
• Designing, Implementing Services and Searches
• Defining and Adding Entities
• Defining Service Templates, and User Access
• Using Predictive Analytics
• Customization, Maintenance, Troubleshooting
• Creating and Defining Correlation Searches and Event Aggregation
  

Using Modules 1-4

• 1-Navigating ITSI Cloud and Service Analyzers
• 2-Visualinzing Services with Glass Tables
• 3--Investigate Issues with Deep Dives
• 4-Managing Episodes
roles

Module 1 - Deployment and Initial Configuration

• Understand IT Service Intelligence licensing
• Describe factors affecting IT Service Intelligence performance
• Identify IT Service Intelligence components
• Configure IT Service Intelligence roles
• Configure IT Service Intelligence modules
• Describe IT Service Intelligence deployment options
• List IT Service Intelligence hardware recommendations
• Describe the installation procedure
• Understand IT Service Intelligence licensing
• Describe factors affecting IT Service Intelligence performance
• Identify IT Service Intelligence components
• Configure IT Service Intelligence roles
• Configure IT Service Intelligence modules

Module 2 - Designing Services

• Giving customer requirements, plan ITSI services
• Design service KPI properties, such as schedules, importance, and thresholds
• Identify entity-oriented KPIs
• Identify dependencies between services

Module 3 - Data Audit and Base Searches

• Analyze a data environment based on implementation requirements
• Identify necessary data sources for KPIs
• Plan data intake for IT Service Intelligence configuration
• Implement base searches to support service design

Module 4 - Implementing Services

• Use a service design to implement services in IT Service Intelligence
• Create KPIs using base searches
• Configure basic KPI settings for calculation and aggregation
• Configure KPI lag and backfill
• Set KPI importance
• Calculate service health score

Module 5 - Thresholds and Time Policies

• Configure KPI thresholds
• Use aggregate and entity-level thresholds
• Use static and adaptive thresholds
• Apply time policies to thresholds
• Create custom threshold templates

Module 6 - Entities and Modules

• Add KPIs to services from modules
• Identify good use cases for entities
• Define entities in services
• Use entities in KPI searches
• Use pseudo entities in KPI searches

Module 7 - Templates and Dependencies

• Define service template use cases
• Create service templates
• Create new services from templates
• Create dependencies between services

Module 8 - Anomaly Detection and Predictive Analytics

• Define anomaly detection capabilities
• Configure anomaly detection for KPIs
• Configure predictive analytics for services

Module 9 - Access Control

• Identify ITSI roles and capabilities
• Describe service level roles and team ownership
• Modify ITSI menu options
• Control access to ITSI views

Module 10 - Customization, Maintenance, Troubleshooting

• Use backup and restore tools
• Install content packs
• Use maintenance mode for services and entities
• Understand the ITSI REST interface
• ITSI troubleshooting

Module 11 - Correlation Searches and Multi-KPI Alerts

• Define new correlation searches
• Define Multi-KPI alerts
• Manage notable event storage

Module 12 - Aggregation Policies

• Define aggregation policy capabilities
• Modify the default aggregation policy
• Understand Smart Mode
• Create new aggregation policies
• Use aggregation policies to automate notable event response

To be successful, students should have a solid understanding of the following courses
• Splunk Fundamentals 1
• Splunk Fundamentals 2
• Splunk Fundamentals 3
• Advanced Searching and Reporting
Or the following single-subject courses
• What is Splunk
• Intro to Splunk
• Using Fields
• Scheduling Reports and Alerts
• Visualizations
• Working with Time
• Leveraging Lookups and Sub-searches
• Correlation Analysis
• Search Under the Hood
• Search Optimization
• Introduction to Knowledge Objects
• Creating Knowledge Objects
• Creating Field Extractions
• Enriching Data with Lookups
• Data Models
• Introduction to Dashboards
• Dynamic Dashboards
Students should also have completed the following courses
• Splunk Enterprise System Administration
• Splunk Enterprise Data Administration