Elastic Training and Certification

Elastic Training and Certification

Elastic Training and Certification Instructor Led Training

Elastic Observability Engineer (Pt 2) - Virtual

This is Part 2 of a two-part, instructor-led course series that provides a strong foundation on using the Elastic Stack to implement system observability.

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Elastic Observability Engineer (Pt 1) - Virtual

This is Part 1 of a two-part, instructor-led course series that provides a strong foundation on using the Elastic Stack to implement system observability.

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Data Analysis with Kibana - Virtual

A powerful search and analytics engine needs an equally powerful user interface for creating advanced visualization and performing deeper analysis. This course focuses on exactly that, using Kibana to analyze data in Elasticsearch.

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Elasticsearch Engineer I - Virtual

This instructor-led course provides a strong foundation for getting started with Elasticsearch. It covers how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions.

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Elasticsearch Engineer I

This instructor-led course provides a strong foundation for getting started with Elasticsearch. It covers how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions.

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Elasticsearch Engineer II - Virtual

This instructor-led course is designed for Elasticsearch professionals who need to expand their skill set for developing and managing powerful search and analytics solutions with the Elastic Stack.

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Elasticsearch Engineer II

This instructor-led course is designed for Elasticsearch professionals who need to expand their skill set for developing and managing powerful search and analytics solutions with the Elastic Stack.

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Kibana Data and Ops Analyst - Virtual

This course focuses on using Kibana to analyze data and operational metrics in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, including logging, metrics and uptime data.

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Kibana Data and Ops Analyst

This course focuses on using Kibana to analyze data and operational metrics in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, including logging, metrics and uptime data.

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Threat Hunting with Kibana - Virtual

This course is designed for security analysts interested in using Kibana to hunt threats to their data and systems. You will start with an introduction to threat hunting, including how it’s different from other security analysis processes, and then move onto an introduction to the Elastic Stack and the powerful set of tools it offers.

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Threat Hunting with Kibana

This course is designed for security analysts interested in using Kibana to hunt threats to their data and systems. You will start with an introduction to threat hunting, including how it’s different from other security analysis processes, and then move onto an introduction to the Elastic Stack and the powerful set of tools it offers.

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Kibana Data Analyst - Virtual

This On-Demand course focuses on using Kibana to analyze data in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, as well as how to manage Kibana by handling saved objects and creating spaces.

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Kibana Data Analyst

This On-Demand course focuses on using Kibana to analyze data in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, as well as how to manage Kibana by handling saved objects and creating spaces.

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Elastic Alerting for Cybersecurity

The best security systems need to cast a wide net, and then know what’s a valid threat and what’s background noise. And they need to do all that without oversight, allowing administrators to focus their time on the valid threats. In this course, you will learn how to use Elastic Stack alerting functionality to hunt down threats based on custom queries and thresholds, and automatically notify users when there’s a problem.
Note: This course is a module of the Security Analytics specialization.

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Analyzing Network Data

Network security monitoring (NSM) takes a bird’s-eye view of an organization, with the mindset that a threat actor will eventually need to cross a network boundary in order to accomplish their objective. In this course, you will learn about the principles of NSM, common tools (Bro and Suricata), and how to leverage the Elastic Stack for analytics.
Note: This course is a module of the Security Analytics specialization.

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Improving Search with Synonyms

The best search solutions know that there’s more than one way to ask a question. This instructor-led course provides a solid understanding of how synonyms can improve your user search experience.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Understanding and Controlling Relevance

Relevance is a crucial element when striving for a good search experience. This instructor-led course provides a solid understanding of what good relevance is about, why it is specific to the individual use-case, and why there is no magic bullet to get it solved.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Geospatial Search

Being able to finding a ‘where’ is just as important as searching for a ‘what’. This instructor-led course will introduce you to working with geospatial data in Elasticsearch.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Data Store Integration

Your data lives in many different places — relational databases, NoSQL databases, file systems, and more — and bringing it all together can be difficult. This instructor-led course provides a strong foundation for understanding the differences between a relational database and Elasticsearch, and how to model your data accordingly.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Log Pipeline Workflows

You can get your log data into Elasticsearch exactly how you want it, regardless of your ecosystem’s complexity. This instructor-led course provides a solid understanding of ingest node pipeline operations and error handling.
Note: This course is a module of the Logging specialization.

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Shipping Log Data

Before you can analyze your logs, you need to get them into Elasticsearch. This instructor-led course will teach you how to set up and ship data with Filebeat, a light-weight data shipper that can tail multiple files at once and ship the data to your Elasticsearch cluster.
Note: This course is a module of the Logging specialization.

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Structuring Log Data

Logs aren’t always the easiest things to read, but Elasticsearch can help with that. This instructor-led course teaches you how to structure your unstructured data using an Elasticsearch ingest node.
Note: This course is a module of the Logging specialization.

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Logging Fundamentals

Logs and metrics are critical for building a holistic understanding of modern systems and gaining insight into the organizational data they hold. This instructor-led course walks you through the fundamental skills for building high-capacity logging systems.
Note: This course is a module of the Logging specialization.

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ELearning

Elastic SIEM Fundamentals

A powerful SIEM is one of the most important tools a security analysts can wield. In this self-paced, on-demand course, you’ll learn how to leverage Elastic SIEM to drive your security operations and threat hunting.
Note: This course is a module of the Security Analytics specialization.

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Elasticsearch Engineer I - On-Demand

This instructor-led course provides a strong foundation for getting started with Elasticsearch. It covers how to deploy and manage Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions.

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Elasticsearch Engineer II - On-Demand

This instructor-led course is designed for Elasticsearch professionals who need to expand their skill set for developing and managing powerful search and analytics solutions with the Elastic Stack.

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Observability Fundamentals

Observability is an attribute of a system you build, much like usability, high availability, and stability. The goal of designing and building an observable system is to make sure that when it is running, operators responsible for it can detect undesirable behaviors and have actionable information to pin down the root cause in an effective manner. This course walks you through the fundamental skills for achieving observable systems with the Elastic Stack.
Note: This course is a module of the Logging specialization.

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Kibana Data Analyst

This On-Demand course focuses on using Kibana to analyze data in Elasticsearch. You will learn how to create visualizations and dashboards across a variety of data sets, as well as how to manage Kibana by handling saved objects and creating spaces.

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Fundamentals of Securing Elasticsearch

Elastic Stack security features enable you to lock down your Elasticsearch cluster and secure all in and outbound communication. In this course, you will explore different Elasticsearch security concerns and learn how to address them.
Note: This course is a module of the Elastic Stack Management specialization.

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ECE Fundamentals

Elastic Cloud Enterprise (ECE) — the orchestration system that provisions, manages, and monitors the Elasticsearch Service on Elastic Cloud — can be used with your own, self-managed Elasticsearch deployments. This course walks you through the fundamental skills for installing and administering ECE on hardware and environments outside of Elastic Cloud.
Note: This course is a module of the Elastic Stack Management specialization.

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APM Fundamentals

Application performance monitoring is important for making sure your applications are running efficiently and effectively, and Elastic APM makes it easy. This course walks you through the fundamental skills for monitoring software services and applications in real time.
Note: This course is a module of the APM specialization.

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Metrics Fundamentals

Metrics are critical for building a holistic understanding of your servers and systems. This course walks you through the fundamental skills for building high-capacity metric systems. You will learn about common metrics problems and their solutions.
Note: This course is a module of the Metrics specialization.

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Logging Fundamentals

Logs and metrics are critical for building a holistic understanding of modern systems and gaining insight into the organizational data they hold. This instructor-led course walks you through the fundamental skills for building high-capacity logging systems.
Note: This course is a module of the Logging specialization.

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Kibana for Splunk SPL Users

If you can Splunk, then you can Elastic. This self-paced, on-demand course is designed for users of Splunk’s Search Processing Language (SPL) that would like to translate their analysis skills to Kibana and Elasticsearch.

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Monitoring Kubernetes and Docker Container Logs

Applications are run within containers to make rolling updates easy, boost resiliency, and more. But with container orchestration, logs become a moving target as containers are created and destroyed. Container deployments are dynamic, and the Elastic Stack can handle that. In this course, you’ll learn how to use Filebeat and Elasticsearch to monitor logs from Docker containers and Kubernetes.
Note: This course is a module of the Logging specialization.

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Advanced Techniques for Securing Elasticsearch

Harden your Elastic Stack security by integrating with an existing authentication system, fine-tuning user access, and maintaining an audit log. In this course, you will learn how to connect Elasticsearch with your external user authentication system and how to define more granular authorizations for your users.
Note: This course is a module of the Elastic Stack Management specialization.

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Installing and Scaling ECE

Elastic Cloud Enterprise (ECE) makes it easier than ever to scale your self-managed Elasticsearch deployments. This course walks you through the steps and considerations for scaling ECE for your use case and environment.
Note: This course is a module of the Elastic Stack Management specialization.

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Elastic Alerting for Cybersecurity

The best security systems need to cast a wide net, and then know what’s a valid threat and what’s background noise. And they need to do all that without oversight, allowing administrators to focus their time on the valid threats. In this course, you will learn how to use Elastic Stack alerting functionality to hunt down threats based on custom queries and thresholds, and automatically notify users when there’s a problem.
Note: This course is a module of the Security Analytics specialization.

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Analyzing Windows Host Data

Windows servers and workstations are a common entry-point for attackers, so analyzing events from these systems can provide valuable information that will help support your overall threat hunting program. In this class, you will learn how to use the Elastic Stack to perform Windows event analysis.
Note: This course is a module of the Security Analytics specialization.

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Vulnerability Risk Management

Managing your vulnerabilities is an important part of risk mitigation, but it’s only effective if it’s timely and holistic. In this course, you’ll learn how to use the Elastic Stack to centrally store and query your vulnerability data in real time.
Note: This course is a module of the Security Analytics specialization.

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Elastic Machine Learning for Cybersecurity

Security analysts have the daunting daily task of identifying potential threats in an endless ocean of host and network data. In this class, you’ll see how Elastic machine learning can help you quickly and efficiently detect those threats, regardless of how much data you need to analyze.
Note: This course is a module of the Security Analytics specialization.

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Improving Search with Suggestions

Search suggestions can improve both system performance and end user experience at the same time. This course provides a solid understanding of the different types of suggesters and how they impact performance and user search experience.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Improving Search with Text Analysis

Adding adequate text analysis to your search application is just the beginning to creating a great search experience. Using advanced techniques can greatly increase the quality of search results and turn a good search engine into a great one. This course starts with an introduction about different analysis techniques, and how to apply them to different business needs.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

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Data Store Integration

Your data lives in many different places — relational databases, NoSQL databases, file systems, and more — and bringing it all together can be difficult. This course provides a strong foundation for understanding the differences between a relational database and Elasticsearch, and how to model your data accordingly.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

Read More

Geospatial Search

Being able to find a ‘where’ is just as important as searching for a ‘what’. This course will introduce you to working with geospatial data in Elasticsearch.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

Read More

Understanding and Controlling Relevance

Relevance is a crucial element when striving for a good search experience. This course provides a solid understanding of what good relevance is about, why it is specific to the individual use-case, and why there is no magic bullet to get it solved.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

Read More

Improving Search with Synonyms

The best search solutions know that there’s more than one way to ask a question. This course provides a solid understanding of how synonyms can improve your user search experience.
Note: This course is a module of the Elasticsearch Advanced Search specialization.

Read More

Search Enhancement Using Natural Language Processing

Natural language processing (NLP) helps computers gain a deeper understanding of human language by adding context and structure. With NLP, your search solution can return better results because it can better interpret what you’re asking it to find (searches for "big data lake" shouldn't return Lake Tahoe). This course will teach you how to integrate and use NLP in your search applications.
Note: This course is a module of the Data Science specialization.

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Vega Visualizations in Kibana

Vega is a declarative language for building rich, interactive visualizations. Since Kibana 6.2, you can now build Vega and Vega-Lite data visualizations into Kibana.
Note: This course is a module of the Data Science specialization.

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Recommendation Systems with the Elastic Stack

Search recommendations are a simple way to direct users to results they might not find on their own. This course will walk you through creating and running a simple movie recommendation system using the Elastic Stack and Spark.
Note: This course is a module of the Data Science specialization.

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Text Classification with Elasticsearch

Text analysis, tokenization, and stop word removal is as much a function of search as it is of classification, making Elasticsearch the perfect tool for text classification. This course will teach you how to build a classification system using the same features that make Elasticsearch so powerful for search.
Note: This course is a module of the Data Science specialization.

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Sentiment Analysis and Brand Monitoring

Thanks to machine learning, anomaly detection has never been easier. This course will show you how to leverage the machine learning capabilities of the Elastic Stack to find anomalous data.
Note: This course is a module of the Data Science specialization.

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Endpoint Security Fundamentals

In any given environment, workstations and servers need to be secured for a variety of different reasons. From protecting sensitive data and personal information, to keeping mission-critical endpoints from being interrupted, these systems keep business functions running. This course walks you through the fundamental skills for utilizing Elastic Endpoint Security to protect those endpoints.
Note: This course is a module of the Security Analytics specialization.

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Real User Monitoring with Elastic APM

Real user monitoring (RUM) analyzes user interaction with clients such as web browsers. The Elastic APM RUM JavaScript agent allows you to collect performance data about your frontend JavaScript applications. This course provides a strong foundation on real user monitoring with Elastic APM.
Note: This course is a module of the APM specialization.

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Node.js Application Performance Monitoring

Elastic APM agents automatically collect in-depth performance metrics and errors from inside your applications, but you can also customize the data that agents send to the APM server. This course will guide you through the Elastic APM Node.js agent custom configurations and APIs.
Note: This course is a module of the APM specialization.

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Monitoring Kubernetes and Docker Container Metrics

With their ease of deployment and management, containers have become a major part of IT infrastructure. Being able to monitor containers and their orchestrators has never been more important. In this class, you’ll learn how to use Metricbeat and the Elastic Stack to monitor different Kubernetes and Docker container metrics.
Note: This course is a module of the Metrics specialization.

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Monitoring Web Server Metrics

Whether you’re using Apache or NGINX, the Elastic Stack is a powerful solution for monitoring the performance of your web servers. In this course, you will learn about the tools in the Elastic Stack that you can use to collect and track important metrics to maintain a healthy web server.
Note: This course is a module of the Metrics specialization.

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Shipping Metrics Data

Metrics are a key component of our IT systems — from RAM utilization to network traffic flows to available disk space — and it is important to monitor them to keep your systems healthy. In this class, we are going to dive into shipping metric data to Elasticsearch with Metricbeat.
Note: This course is a module of the Metrics specialization.

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Processing Data

Get your data into Elasticsearch exactly how you want it, regardless of your ecosystem’s complexity. This course teaches you how to use ingest pipelines for converting, enriching and processing your data in any way you want.
Note: This course is a module of the Logging specialization.

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Structuring Data

Data can come from many sources and in many formats, some of which might be difficult to read, but Elasticsearch can help with that. This course teaches you how to structure your unstructured data using Elasticsearch ingest nodes.
Note: This course is a module of the Logging specialization.

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Shipping Log Data

Before you can analyze your logs, you need to get them into Elasticsearch. This course will teach you how to set up and ship data with Filebeat, a light-weight data shipper that can tail multiple files at once and ship the data to your Elasticsearch cluster.
Note: This course is a module of the Logging specialization.

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Assessments

Elastic Certified Observability Engineer (COMING SOON)

The Elastic Certified Observability Engineer exam tests your knowledge and skills on using the Elastic Stack to implement observability, from ingesting metrics, logs, APM and uptime data to a single data source, to analyzing and reacting to events using Kibana, machine learning, and alerting.

Note: This certification is coming soon. Contact us at certification@elastic.co for more information about this upcoming exam.

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Elastic Certified Analyst

The Elastic Certified Analyst exam tests your knowledge and skills in analyzing data using Kibana, including the ability to build visualizations and dashboards and detect anomalies of time-series data using machine learning.

Note: The Elastic Certified Analyst exam is tentatively scheduled to be released in May, 2020. Contact us at certification@elastic.co for more information about this upcoming exam.

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Elastic Certified Engineer

The Elastic Certification Program was created to recognize individuals who have demonstrated a high-level of knowledge, competence and expertise with Elasticsearch. Elastic Certified Professionals demonstrate these skills by completing challenging and relevant real-world tasks on a live Elastic Stack cluster in our hands-on, performance-based certification exams.

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