AWS Certified DevOps Engineer Professional (DOP-C02)

Field

Description / Template

Purpose

To provide advanced expertise in automating, deploying, monitoring, and securing applications on AWS using DevOps best practices. This course prepares learners for the AWS Certified DevOps Engineer Professional (DOP-C02) certification while enabling them to design and manage scalable, automated CI/CD pipelines and resilient cloud systems.

Audience

Experienced cloud engineers, DevOps professionals, software developers, system administrators, and engineers preparing for AWS professional-level certification.

Role

DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), Platform Engineer, Release Engineer.

Domain

Cloud Computing (AWS), DevOps, Automation, Site Reliability Engineering (SRE).

Skill Level

Advanced

Style

Hands-on labs, real-world DevOps scenarios, architecture-driven learning, CI/CD pipeline implementation, troubleshooting-based exercises, exam-focused deep dives.

Duration

3–4 Weeks

Related Technologies

AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline, AWS CloudFormation, AWS Lambda, Amazon CloudWatch, Amazon EventBridge, AWS Systems Manager, AWS IAM, AWS Organizations, Elastic Beanstalk, Amazon EC2, Auto Scaling, Amazon RDS, Amazon S3

Course Description

This course is designed for professionals who want to master DevOps practices on AWS at an advanced level. It aligns with the AWS Certified DevOps Engineer Professional (DOP-C02) certification and focuses on automation, continuous delivery, monitoring, security, and resilient system design.

Learners will build and manage end-to-end CI/CD pipelines using AWS developer tools, implement Infrastructure as Code (IaC) using CloudFormation, and design event-driven automation workflows. The course also dives deep into monitoring and logging strategies, incident response, rollback mechanisms, and operational troubleshooting.

Additionally, learners will explore advanced security practices, multi-account strategies, and highly available architectures across regions. By the end of the course, participants will be equipped to manage complex AWS environments and implement enterprise-grade DevOps solutions.

Who is this course for

  • Professionals preparing for AWS Certified DevOps Engineer Professional (DOP-C02)

  • DevOps engineers managing CI/CD pipelines on AWS

  • Cloud engineers working on automation and infrastructure provisioning

  • SREs responsible for system reliability and monitoring

  • Developers transitioning into DevOps roles

Course Objectives

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

  • Design and implement end-to-end CI/CD pipelines using AWS services

  • Automate software delivery workflows using CodePipeline, CodeBuild, and CodeDeploy

  • Implement Infrastructure as Code (IaC) using CloudFormation

  • Manage configuration and environment consistency across deployments

  • Build event-driven automation using EventBridge and Lambda

  • Monitor systems using CloudWatch and implement centralized logging strategies

  • Troubleshoot deployment failures and implement rollback mechanisms

  • Implement security best practices including IAM, multi-account strategies, and compliance controls

  • Design highly available, fault-tolerant, and disaster-resilient architectures

  • Optimize operational workflows using AWS Systems Manager

  • Prepare effectively for the AWS DevOps Engineer Professional certification exam

Prerequisites

  • Strong understanding of core AWS services (EC2, S3, IAM, VPC, RDS)

  • Prior experience with AWS at associate level (recommended: Solutions Architect or CloudOps)

  • Understanding of CI/CD concepts and DevOps practices

  • Basic scripting knowledge (Bash, Python, or similar)

  • Familiarity with Infrastructure as Code concepts

  • Experience with application deployment and version control systems

Course outline

Section 1: SDLC Automation

  1. CodeCommit

  2. CodeBuild

  3. CodeDeploy

  4. CodePipeline

  5. SDLC Concepts and Services

  6. SDLC Automation Review

Section 2: Configuration Management and Infrastructure as Code

  1. Elastic Beanstalk

  2. Serverless

  3. CloudFormation

  4. Configuration Management

  5. Configuration Management and Infrastructure as Code Review

Section 3: Incident and Event Response

  1. Troubleshooting and Rollback

  2. Event-Driven Actions

  3. Supporting Services

  4. Incident and Event Response Review

Section 4: Monitoring and Logging

  1. EventBridge and CloudWatch

  2. Supporting Services

  3. Logging

  4. Monitoring and Logging Review

Section 5: Security and Compliance

  1. Identity and Access, and Multi-Account Environments

  2. Systems Manager

  3. Security and Compliance Services

  4. Security and Compliance Review

Section 6: Resilient Cloud Solutions

  1. Auto Scaling

  2. Highly Available Databases

  3. High Availability, Multi-Account, Multi-Region, and Disaster Recovery

  4. AWS Lambda

  5. Storage and Migration

  6. Resilient Cloud Solutions Review