This nine-hour course focuses on large enterprise deployments. Students will learn steps and best practices for planning, data collection and sizing for a distributed deployment. Workshop-style labs challenge students to make design decisions about an example enterprise deployment.
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This two-day course focuses on Splunk Enterprise app development. It’s designed for advanced users, administrators, and developers who want to create apps for Splunk Enterprise and Splunk Cloud. Major topics include planning apps, building data generators, adding data, custom search commands and REST endpoints, using the KV Store, app vetting using AppInspect and app packaging.
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This 3-virtual day course is for an experienced Splunk Enterprise administrator who is new to Splunk Clusters. The course provides the fundamental knowledge of deploying and managing Splunk Enterprise in a clustered environment. It covers installation, configuration, management, and monitoring of Splunk clusters. While Splunk Clusters are supported in Windows environments, the class lab environment is running Linux instances only.
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This 13.5 hour Advanced SOAR Implementation course is intended for experienced SOAR consultants who will be responsible for complex SOAR solution development, and will prepare the attendee to integrate SOAR with Splunk as well as develop playbooks requiring custom coding and REST API usage.
Potential attendees have received a passing grade in all prerequisite courses, and must ensure they can devote all of their attention to the class, as the course work is very challenging. Students will develop a custom solution with SOAR, Splunk and custom Python code. The labs provide requirements for the solution; the student must plan and execute the development. This will require thoughtful focus, experimentation and problem-solving skills.
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This 12-hour course is designed for system administrators who are responsible for managing the Splunk Enterprise environment. The course provides the fundamental knowledge of Splunk license manager, indexers and search heads. It covers configuration, management, and monitoring core Splunk Enterprise components.
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This 13.5-hour course prepares security practitioners to use Splunk Enterprise Security (ES). Students identify and track incidents, analyze security risks, use predictive analytics, and discover threats.
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This 13.5 hour course prepares architects and systems administrators to install and configure Splunk Enterprise Security (ES). It covers ES event processing and normalization, deployment requirements, technology add-ons, dashboard dependencies, data models, managing risk, and customizing threat intelligence.
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This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk’s statistics, machine learning, built-in and custom visualization capabilities.
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This 18 hour Implementing Splunk IT Service Intelligence course is designed for administrator users who will implement Splunk IT Service Intelligence for analysts to use. The first day includes the day of content from Using Splunk IT Service Intelligence.
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This 4-day course is designed for the experienced Splunk administrators who are new to Splunk DSP. This hands-on class provides the fundamentals of deploying a Splunk DSP cluster and designing pipelines for core use cases. It covers installation, source and sink configurations, pipeline design and backup, and monitoring a DSP environment.
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This 18-hour course is designed for administrators who are responsible for getting data into Splunk Indexers. The course provides the fundamental knowledge of Splunk forwarders and methods to get remote data into Splunk indexers. It covers installation, configuration, management, monitoring, and troubleshooting of Splunk forwarders and Splunk Deployment Server components.
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This Power User “Fast Start” course covers over 60 commands, functions, and knowledge objects to provide users with actionable information about searching best practices and knowledge management. Students will learn how to effectively utilize time in searches, work with different time zones, use transforming commands and eval functions to calculate statistics, compare field values with eval functions and eval expressions, manipulate output, normalize fields and field values, correlate and filter data from multiple sources, and create, manage, and share knowledge objects.
