Datadog Course with Certification

SKU: 2203
13 Lesson
|
35 Hours
igmGuru offers the best Datadog Training Program worldwide for learners of all levels. In this training program, you will learn key topics such as installing and configuring the Datadog Agent, creating dashboards, setting up monitors and alerts, leveraging Application Performance Monitoring (APM) and Distributed Tracing, Real User Monitoring (RUM), Synthetic Monitoring, Security Monitoring, and many more. Our Datadog certification course is developed by industry experts with over 10 years of experience in cloud monitoring, DevOps, and observability, ensuring practical, up-to-date, and industry-relevant learning.
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Datadog Training Course

Datadog Course Overview

igmGuru's Datadog Training is designed to help you master modern monitoring, observability, and cloud infrastructure management. This Datadog course covers essential topics, including Datadog fundamentals, dashboards, metrics, log management, APM (Application Performance Monitoring), infrastructure monitoring, alerting, integrations, and security monitoring.

Through hands-on labs and real-world projects, you will gain practical experience in monitoring applications, servers, containers, cloud platforms, and microservices environments. The Datadog online training also includes integration with tools like AWS, Kubernetes, Docker, Jenkins, and CI/CD pipelines to help you manage modern DevOps ecosystems efficiently.

By the end of the course, you will be able to analyze system performance, troubleshoot issues faster, improve application reliability, and implement effective monitoring strategies for enterprise environments.

Prerequisites

  • Understanding of operating systems (Linux/Windows)
  • Familiarity with servers, processes, and system monitoring
  • Awareness of cloud platforms (AWS, Azure, GCP)
  • Basic knowledge of containers (Docker, Kubernetes)
  • Familiarity with common network protocols (HTTP, DNS, TCP/IP)

What You Will Learn

1. Get Started with Datadog

  • Set up your Datadog account and environment.
  • Learn the Datadog interface, navigation tools, tagging, and data model basics.

2. Install and Configure the Datadog Agent

  • Deploy the Datadog Agent on hosts, containers, and Kubernetes.
  • Configure integrations, custom checks, and best practices for tagging.

3. Work with Metrics and Dashboards

  • Collect and query metrics for infrastructure and applications.
  • Build dashboards and visualizations to monitor performance and health.

4. Set Up Monitors and Alerts

  • Configure metric, log, and APM monitors with thresholds and anomaly detection.
  • Automate alert notifications with Slack, PagerDuty, and email integrations.

5. Manage Logs and Perform Analytics

  • Collect, parse, and index logs from multiple sources.
  • Use queries, filters, and facets to analyze logs and troubleshoot issues.

6. Implement APM and Distributed Tracing

  • Instrument applications to capture traces and spans.
  • Visualize service dependencies, identify bottlenecks, and optimize performance.

7. Monitor User Experience with RUM and Synthetics

  • Capture real user interactions with web and mobile applications.
  • Run synthetic tests for APIs and websites to ensure uptime and reliability.

8. Define SLOs and Reliability Metrics

  • Create SLIs, SLOs, and error budgets to measure service reliability.
  • Track compliance with business and operational goals.

9. Leverage Security and Compliance Monitoring

  • Detect threats and suspicious activity with Cloud SIEM.
  • Monitor compliance posture and investigate security signals.

10. Automate and Extend Datadog

  • Use Datadog APIs for automation and reporting.
  • Integrate with IaC tools like Terraform and Ansible for scalable monitoring.

Datadog Course Objectives

This Datadog training helps IT professionals gain complete visibility into applications, infrastructure, logs, and cloud environments using one of the most widely adopted observability platforms.

  • Understand the fundamentals of observability and monitoring.
  • Monitor cloud infrastructure and application performance.
  • Configure dashboards, alerts, and automated notifications.
  • Analyze logs and troubleshoot performance bottlenecks.
  • Track metrics across distributed systems.
  • Implement APM (Application Performance Monitoring) solutions.
  • Improve incident response and system reliability.

Who is This Course For?

As organizations continue adopting cloud-first strategies, monitoring and observability skills have become critical for maintaining reliable digital services.

  • DevOps Engineers
  • Cloud Engineers
  • Site Reliability Engineers
  • System Administrators
  • Infrastructure Engineers
  • IT Operations Professionals
  • Technical Support Engineers

Tools and Technologies Covered

Learn the technologies commonly integrated with Datadog in modern cloud-native environments.

  • Datadog
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Kubernetes
  • Docker
  • Prometheus
  • Grafana
  • Log Management Tools
  • CI/CD Monitoring Integrations

Career Outcomes

Datadog expertise can open opportunities in infrastructure management, cloud operations, and reliability engineering.

  • DevOps Engineer
  • Cloud Operations Engineer
  • Monitoring Engineer
  • Site Reliability Engineer
  • Infrastructure Engineer
  • Platform Engineer
  • Observability Specialist

Why Choose igmGuru for Datadog Training?

The following are some key benefits of joining igmGuru’s Datadog Training program to build practical monitoring, observability, and DevOps skills.

  • Learn from industry experts with real-time monitoring and DevOps experience
  • Hands-on training with live projects and practical monitoring scenarios
  • Gain expertise in Datadog dashboards, log management, APM, and infrastructure monitoring
  • Industry-focused curriculum designed for modern cloud and DevOps environments
  • Flexible online learning with recorded sessions and study materials
  • Practical exposure to integrations with AWS, Docker, Kubernetes, Jenkins, and CI/CD tools
  • Real-world troubleshooting and performance optimization techniques
  • Personalized mentorship and certification guidance
  • Career-oriented training for DevOps, Cloud, and SRE roles
  • 24/7 support and assistance for learners throughout the training program

Key Features

Course Curriculum

1. What is observability? The three pillars (metrics, logs, traces)
2. Why Datadog? Use cases and architecture overview
1. UI walkthrough, workspaces, scopes
2. Tagging best practices
3. Data model (hosts, services, metrics)
1. Datadog Agent on hosts
2. Agent in containers / Docker
3. Kubernetes / cluster agent
4. Autodiscovery & custom checks
1. Built-in integrations (e.g. AWS, MySQL, Nginx, Redis, OS metrics)
2. Custom metrics via DogStatsD / APIs
3. Log collection & forwarding
1. Metric types, querying, aggregations
2. Creating dashboards, widgets (graphs, tables, lists)
3. Custom visualizations & dashboards JSON import/export
1. Monitor types (metric, log, APM monitors)
2. Alert thresholds, conditions, notifications (email, Slack, PagerDuty)
3. Dynamic thresholds, anomaly detection
1. Log ingestion, filtering, parsing
2. Log indexing, retention, global processing rules
3. Log queries, facets, aggregations
4. Correlating logs with other data
1. Instrumentation (libraries, agents)
2. Trace search, spans, services maps
3. Flame graphs, error tracing, custom spans/tags
4. Distributed tracing, rate limiting, retention
1. RUM setup for client-side apps
2. Error tracking, session replay
3. Synthetic tests (browser & API)
4. Integrating synthetic in CI/CD
1. SLI / SLO definitions
2. Configuring SLOs, error budget alerts
3. Using these for reliability engineering
1. Network performance, cloud network monitoring (CNM)
2. Host maps, container monitoring
3. Live processes / containers, infrastructure views
1. Cloud audit logs, compliance scanning
2. Workload protection, intrusion detection
3. Security rules, alerts, investigating security signals
1. Notebooks for reporting & collaboration
2. Using Datadog API, IaC (infrastructure as code) integration
3. Workflow automation for incident responses
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+91 7240740740 (India)
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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 35 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 04 Jul 2026
  • Weekday Batch 06 Jul 2026
  • Weekend Batch 04 Jul 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support
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Datadog Certification

Upon successfully completing the Datadog Training, we will provide a Course Completion Certificate to all learners. This certificate validates your hands-on skills in Datadog, including monitoring, observability, logging, APM, and dashboards.

We will provide guidance on the below mentioned certification exams:

Certification Name

Datadog Fundamentals Certification

Exam Format

  • Duration: 120 minutes
  • Number of Questions: Approximately 90 multiple-choice questions
  • Passing Score: ~70% (not officially published, varies by exam version)
  • Type: Knowledge and scenario-based questions focused on Datadog fundamentals (metrics, dashboards, monitors, logs, and integrations)
  • Mode: Online proctored exam (can be taken remotely worldwide)

Exam Cost

$100 USD

Certification Name

Datadog Log Management Fundamentals Certification

Exam Format

  • Duration: 120 minutes
  • Number of Questions: Approximately 90 multiple-choice questions
  • Passing Score: ~70% (not officially published)
  • Type: Scenario-based and practical knowledge questions focused on log collection, processing, queries, and troubleshooting
  • Mode: Online proctored exam (remote)

Exam Cost

$100 USD

Certification Name

Datadog APM & Distributed Tracing Fundamentals Certification

Exam Format

  • Duration: 120 minutes
  • Number of Questions: Approximately 90 multiple-choice questions
  • Passing Score: ~70% (not officially published)
  • Type: Scenario-based questions testing real-world tracing, APM, and distributed system monitoring knowledge
  • Mode: Online proctored exam (remote)

Exam Cost

$100 USD

Datadog Certification

FAQ's

In igmGuru's Datadog Training, you will learn how to monitor infrastructure, applications, logs, containers, cloud services, and user experiences using Datadog dashboards, alerts, and analytics tools.

Yes. As organizations continue adopting cloud-native architectures, Kubernetes, and microservices, Datadog remains one of the leading observability platforms used by DevOps, SRE, and cloud engineering teams worldwide.

Absolutely. igmGuru's Datadog course includes monitoring strategies for containers, Kubernetes clusters, cloud workloads, and distributed applications, helping learners stay aligned with modern deployment practices.

Yes. Datadog can help monitor AI applications, APIs, GPU utilization, model performance, and cloud infrastructure. Our training introduces practical monitoring concepts that support today's AI-driven environments.

Basic knowledge of IT infrastructure and cloud concepts is helpful, but not required. igmGuru's instructors explain core Datadog concepts before progressing to advanced monitoring and observability topics.

Yes. The course includes practical exercises on creating dashboards, configuring alerts, analyzing logs, tracking application performance, and troubleshooting real-world monitoring scenarios.

Datadog skills are highly relevant for DevOps Engineers, Site Reliability Engineers (SREs), Cloud Engineers, Platform Engineers, System Administrators, and Application Support professionals seeking expertise in observability and performance monitoring.
Contact Us
Contact Us Worldwide
1-800-7430-173
(US Toll Free)
+91-7240-740-740
(India)
WhatsApp
+91-7240-740-740
(WhatsApp)
info@igmguru.com

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