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What are the key skills you will gain in the Datadog Fundamentals Certification Course?

In the Datadog Fundamentals course, you will learn how to configure Datadog to gather metrics from both infrastructure and applications, enabling effective monitoring, alerting, and tracking of system performance.

In addition, you will enrich your skills in the following domains:

Computer Fundamentals
Infrastructure Development
Networking & Agent Configuration
Data Collection
Troubleshooting Datadog
Data Visualization & Utilization

Prerequisites for taking the Datadog Fundamentals Certification Course

There are no formal prerequisites needed to take Datadog Fundamentals Course.

But Datadog Fundamentals Exam recommends a foundational understanding of the following key areas:

Fundamental computing concepts encompass CPU, RAM, and data storage.
Elementary understanding of Linux, including basic commands and operations.
Proficiency in interpreting YAML, JSON, Python, and Shell Scripts.
Basic knowledge of networking principles.
Familiarity with Datadog, covering aspects such as Agent configuration and commands.
Competence in utilizing Datadog Integrations, API, Metrics, Tags, Host Map, Monitors, Log Search & Filter, and Metric Search & Filter functionalities.

Target Audience for Datadog Fundamentals Certification Course

This course is designed for entry-level Datadog users who possess a solid understanding of Observability principles.

It is also suited for individuals who regularly engage with Datadog's core products and features.

What you will learn in the Datadog Fundamentals Certification Course?

By taking Datadog Fundamentals Course, you can acquire the knowledge in the following areas:

Become proficient in computer fundamentals, including knowledge of CPUs, RAM, and data storage
Experience in the Linux operating system, YAML, JSON, Python, and shell scripts.
Well-versed in networking basics, with a solid understanding of IP addresses and protocols such as HTTP, TCP, and UDP
Demonstrated ability to install and configure the Datadog Agent in multiple environments, set up Datadog integrations, and troubleshoot common issues.
Skilled in aggregating and visualizing data within the Datadog application, as well as searching and filtering events, logs, and metrics using tags and facets.
Capable of creating Datadog monitors with precision