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AWS Certified DevOps Engineer – Professional (DevOps Engineering on AWS)

Last Updated: 01-03-2025

The AWS Certified DevOps Engineer – Professional course is designed for professionals who want to advance their expertise in DevOps practices and prepare for the AWS Certified DevOps Engineer – Professional certification exam. This advanced-level course covers the full range of DevOps tools and practices, from continuous integration and continuous delivery (CI/CD) to infrastructure automation and monitoring. By the end of this training, you'll be equipped to implement DevOps practices on AWS, enhance automation, improve application deployment efficiency, and secure cloud-based infrastructures.

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Schedule Learners Course Fee Register Your Interest
April 28th - 30th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 960
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April 21st - 23rd
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 960
May 12th - 19th
09:00 - 13:00 (CST)
Live Virtual Classroom
USD 960
June 02nd - 04th
09:00 - 17:00 (CST)
Live Virtual Classroom
USD 960

Course Prerequisites

  • AWS Certified Solutions Architect – Associate or AWS Certified Developer – Associate, or equivalent knowledge of AWS services.
  • Solid experience in software development, systems administration, and automation tools.
  • Strong understanding of cloud computing concepts, infrastructure as code (IaC), and CI/CD processes.
  • Recommended: Familiarity with AWS tools like CloudFormation, CodePipeline, and EC2.

Learning Objectives

By the end of this course, you will be able to:

  1. Implement and manage CI/CD pipelines using AWS services like CodePipeline, CodeBuild, and CodeDeploy.
  2. Automate infrastructure provisioning and configuration using AWS CloudFormation and other IaC tools.
  3. Monitor and log application performance with Amazon CloudWatch and other AWS monitoring tools.
  4. Design and deploy highly available, scalable, and fault-tolerant systems on AWS using DevOps best practices.
  5. Manage and automate security, cost optimization, and compliance in a DevOps environment.
  6. Integrate AWS DevOps services with other third-party tools to enhance automation and collaboration.
  7. Prepare for the AWS Certified DevOps Engineer – Professional exam through hands-on exercises, labs, and case studies.

Target Audience

This course is ideal for:

  • DevOps engineers aiming to deepen their AWS expertise and earn their AWS Certified DevOps Engineer – Professional certification.
  • IT professionals with experience in software development or systems administration looking to shift towards DevOps practices.
  • Engineers and technical professionals focused on automation, CI/CD pipelines, and cloud infrastructure management.
  • Cloud architects who want to expand their knowledge of AWS DevOps tools and methodologies.

Course Modules

Day 1:

  1. Introduction to DevOps and AWS CLI

    • Understanding DevOps principles and practices.
    • Overview of AWS Command Line Interface (CLI).
    • Introduction to DevSecOps concepts.
    • Exploring deployment strategies and AWS Developer Tools.
  2. Infrastructure as Code and AWS Developer Tools

    • Deep dive into Infrastructure as Code (IaC) principles.
    • Hands-on with AWS Developer Tools for CI/CD pipelines.
    • Implementing automated testing on AWS.

Day 2:

  1. Configuration Management and Containers

    • Managing configurations with AWS Systems Manager.
    • Building and managing AMIs using EC2 Systems Manager.
    • Introduction to containerization with Docker and Amazon ECS.
  2. Advanced DevOps Practices

    • Implementing multi-pipeline workflows.
    • Deploying applications across multiple environments.
    • Case studies on DevOps implementations.

Day 3:

  1. Monitoring, Logging, and Incident Response

    • Setting up monitoring and logging systems on AWS.
    • Responding to incidents and managing events.
    • Ensuring high availability and disaster recovery.
  2. Exam Readiness Workshop

    • Reviewing exam objectives and study strategies.
    • Practicing sample exam questions.
    • Discussing key concepts and best practices.

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