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Elastic Training Courses

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  1. It’s time to get serious about security. With this on-demand course you will experience nearly 2.5 hours of professional instructional video developed by our Elastic engineers covering topics such as users, roles, auditing, SSL, realms and more! This course has over 40 modules split into 5 sections and includes challenging labs and quizzes to fortify the concepts you will learn throughout the course. Learn how to configure TLS to secure all network communication and how to log suspicious behavior as well as how to protect your secure resources with roles, users and access controls. By the end of this course you will know how to provide end-to-end security for your Elastic Stack


  2. Starting with an overview of event data and the Elastic Stack approach to time-based data, you will learn the core concepts of Kibana Data Analysis through lectures, labs, and Q&A sessions. By the end of this course, you will be able to easily find answers in large (300K+) event data sets.

  3. Elastic Machine Learning lets you get the most out of your data. Hunting down irregularities in your data is difficult and this on-demand course will teach you how to make this easy. In this course you will learn what to look for, how to look for it and why it is important. With 2.5 hours of video content and multiple labs, you will explore different datasets with the Machine Learning user interface to reveal the anomalies in them. You will also learn how Machine Learning integrates with Elasticsearch and how you can automate the processing of discovered anomalies so you can take action quickly. Elastic Machine Learning helps you discover irregularities before they become problems and this course teaches you how. This course is based on Elastic Stack 5.x.


  4. You will start with an overview of the Elastic Stack, exploring the various components and some of the use cases they can serve. The remainder of this course will take an in-depth look at several security related data sources and how to gain value from them with the Elastic Stack. As you learn about these data sources, we will mix in instruction on the various components of Kibana, including basic discovery, visualizations and dashboards, and advanced components like Graph and machine learning. After completing each module, you will apply what you have learned in a series of hands-on labs. By the end of the training, you will be able to use the Elastic Stack to analyze the data sources from your network and various systems in order to paint a more complete security picture.


  5. It covers how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. You will learn how to install, configure, manage, and secure Elasticsearch clusters, as well as how to troubleshoot issues you may encounter along the way. You will also explore the inner workings of Elasticsearch and gain insight into queries, analyzers, mappings, and aggregations as you learn to work with search results.

  6. This course focuses on how to use the Elastic Stack to turn raw data into valuable insights, a top priority for data administrators. Looking at how each component of the Elastic Stack is used during the data lifecycle, you will first learn how to reliably collect and normalize data using Beats and Logstash. The data is then ingested into Elasticsearch for enrichment and analysis before being visualized and explored within Kibana. In addition to walking through data administration with lectures and hands-on labs, we will also discuss common pitfalls and architecture recommendations for various use cases.


  7. This course covers the basics of how to deploy, configure, administer, and troubleshoot Elastic Cloud Enterprise. Students will first learn about the high-level concepts and features, then dive deep into the details. This course has a significant hands-on aspect, as students will have ample opportunities to put these concepts into practice on their own, live environments. After completion of this course, the student should feel comfortable with deploying and administering their own environment. The student will be familiar with the bootstrapping of multiple instances, as well as the elements of the Cloud UI, which enables easy configuration and scaling of the ECE architecture, as well as the ECE APIs.

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