Exam Readiness AWS Certified DevOps Engineer Professional Course Overview

Exam Readiness AWS Certified DevOps Engineer Professional Course Overview

The Exam Readiness AWS Certified DevOps Engineer Professional course is designed to prepare learners for the AWS Certified DevOps Engineer - Professional certification exam. This comprehensive course covers the full spectrum of DevOps methodologies and practices as they pertain to the AWS platform, focusing on the core concepts of automating various aspects of software development and operations.

Starting with SDLC Automation, learners will understand how to create efficient CI/CD pipelines, manage Source control, automate testing, Secure artifact management, and implement strategic deployment models like A/B testing and Blue/green deployments using AWS services.

Configuration Management and Infrastructure as Code will equip participants with the skills to choose appropriate deployment services, apply security in automation, and manage systems with AWS tools.

Monitoring and Logging lessons guide learners through setting up log analysis, monitoring automation, and implementing metadata strategies.

In Policies and Standards Automation, students learn to enforce logging and monitoring standards, cost optimization, and governance through automation.

Incident and Event Response focuses on troubleshooting, automated event management, and implementing automated healing and event-driven actions.

Lastly, High Availability, Fault Tolerance, and Disaster Recovery teaches the design of resilient systems, disaster recovery automation, and evaluation of deployments for vulnerabilities.

Overall, this course is a vital tool to help learners master DevOps practices on AWS, ensuring they are well-prepared to pass the certification exam and apply these skills in real-world scenarios.

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Course Prerequisites

To ensure that you have the foundation necessary to maximize the benefits of the Exam Readiness AWS Certified DevOps Engineer Professional course, the following prerequisites are recommended:


  • Basic understanding of Software Development lifecycle (SDLC) and Software Development tools.
  • Familiarity with continuous integration and continuous delivery (CI/CD) concepts and practices.
  • Hands-on experience with at least one high-level programming language (such as Python, Java, or Ruby).
  • Working knowledge of AWS core services and basic AWS architecture best practices.
  • Practical experience with AWS management and deployment services such as AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline.
  • Experience with infrastructure as code, using AWS CloudFormation or similar technologies.
  • Understanding of version control systems, preferably Git, and associated best practices.
  • Knowledge of automated testing frameworks and strategies.
  • Familiarity with Configuration Management tools (like Chef, Puppet, Ansible, or AWS OpsWorks).
  • Basic understanding of monitoring, logging, and cost optimization in an AWS environment.
  • Experience with Incident Response and management in a cloud context.

These prerequisites are intended to provide a solid foundation upon which the course content can build. While not mandatory, meeting these requirements will help ensure a successful learning experience in the Exam Readiness AWS Certified DevOps Engineer Professional course.


Target Audience for Exam Readiness AWS Certified DevOps Engineer Professional

The Exam Readiness AWS Certified DevOps Engineer Professional course is designed for IT professionals seeking to master AWS DevOps tools and methodologies.


  • DevOps Engineers
  • AWS Cloud Architects
  • Software Developers
  • System Administrators
  • IT Managers
  • Quality Assurance Engineers
  • Operations Managers
  • Technical Project Managers


Learning Objectives - What you will Learn in this Exam Readiness AWS Certified DevOps Engineer Professional?

Introduction to Course Learning Outcomes:

The AWS Certified DevOps Engineer Professional course equips participants with advanced skills to automate and optimize DevOps processes using AWS services, focusing on continuous delivery, infrastructure management, and operational best practices.

Learning Objectives and Outcomes:

  • Master automation of the CI/CD pipeline to streamline software delivery using AWS Developer tools.
  • Implement effective source control strategies to maintain code integrity and enable collaboration.
  • Integrate automated testing into the deployment process to ensure code quality and reliability.
  • Securely manage build artifacts and dependencies to maintain a secure software supply chain.
  • Deploy and deliver applications using strategies like A/B, Blue/Green, and Canary deployments on AWS.
  • Apply Infrastructure as Code (IaC) for consistent and efficient provisioning of AWS resources.
  • Enforce security and compliance standards automatically within resource provisioning and application deployment.
  • Set up comprehensive monitoring and logging solutions to gain insights into application and infrastructure performance.
  • Automate incident and event response to maintain high availability and minimize downtime.
  • Design and implement Disaster Recovery strategies that align with business continuity requirements, ensuring resilience and data protection.

Technical Topic Explanation

SDLC Automation

SDLC Automation refers to the process of applying automation tools and practices within the Software Development Life Cycle to improve efficiency, reduce errors, and speed up software delivery. This approach frequently integrates tools like AWS for DevOps practices. Professionals aiming to excel in this area often pursue AWS DevOps certification or engage in DevOps with AWS training, to become skilled AWS certified DevOps engineers. These certifications prepare individuals for roles like AWS DevOps Engineer Professional, ensuring they are proficient in using AWS technologies to streamline and automate development, testing, and deployment processes.

CI/CD pipelines

CI/CD pipelines are automated processes in software development that help teams deliver code changes more frequently and reliably. CI (Continuous Integration) involves merging all developers' working copies to a shared mainline several times a day, reducing integration problems. CD (Continuous Deployment) ensures that every change that passes the automated tests can be automatically released to production. This pipeline minimizes manual errors, provides standardized feedback loops to developers, and speeds up the release process, crucial for professionals aiming for roles like AWS DevOps Engineer Professional or AWS Certified DevOps Engineer and participating in DevOps with AWS training.

Secure artifact management

Secure artifact management involves handling and securing various digital files and components (artifacts) used and produced during software development. The goal is to ensure these artifacts remain secure from unauthorized access and tamper, maintaining the integrity of software products. This includes version control, encryption, permission management, and thorough audit trails for tracking. In environments like AWS, following best practices in DevOps through aws devops certification or AWS DevOps Engineer Professional training can significantly enhance the security and efficiency in managing software artifacts, helping organizations achieve robust, secure DevOps pipelines.

Blue/green deployments

Blue/green deployments are a software release strategy that reduces downtime and risk by running two identical production environments. One, the "Blue" environment, runs the current application version, while the other, the "Green" environment, hosts the new version. Traffic gradually shifts from Blue to Green ensuring everything operates smoothly. If issues arise, it's easy to revert back to Blue. This approach is valuable in DevOps, especially when integrated with AWS tools, enhancing team capabilities in rolling updates seamlessly. It's beneficial for those pursuing an AWS DevOps Certification or engaging in DevOps Engineer Training focused on AWS environments.

Configuration Management

Configuration Management in technology refers to the process of systematically handling changes to software or systems that ensure integrity over time. It involves tracking and controlling modifications to software code, system settings, and development processes to prevent conflicts and maintain operational stability. Effective configuration management supports DevOps practices by facilitating automated testing and deployment, which can be especially beneficial in environments using AWS. Adopting practices like those in AWS DevOps training, individuals can pursue AWS DevOps certification to demonstrate their expertise in managing and optimizing DevOps workflows, especially beneficial for roles such as AWS Certified DevOps Engineer.

Infrastructure as Code

Infrastructure as Code (IaC) is a key practice in DevOps, where you manage and provision your technology infrastructure through code instead of manual processes. By using scripts, you can automatically set up and configure servers, databases, and other network systems. This approach supports consistent environments, reduces potential human error, and enhances replication of configurations with precision. IaC is particularly relevant in cloud environments like AWS, aligning with the AWS DevOps engineer professional goals. By integrating IaC, professionals holding an AWS DevOps certification can more efficiently deploy and manage resources, leading to faster development cycles and more scalable systems.

Incident and Event Response

Incident and Event Response in the context of IT is about how organizations tackle and manage unexpected disruptions or security threats to their systems. Effective response strategies aim to quickly identify, analyze, and correct hazards to prevent downtime or data breaches. They often use automated tools and processes associated with DevOps practices, which can be optimized by training such as DevOps with AWS training or AWS DevOps certification. This training enhances skills in continuous integration and delivery, vital for efficient problem-solving and minimizing future risks, making an AWS certified DevOps engineer indispensable in maintaining system integrity under stress.

High Availability

High Availability (HA) is a system design approach and associated service implementation that ensures a certain level of operational performance will be met during a contractual measurement period. HA systems are implemented to remain available at all times, avoiding any noticeable downtime for users. This is achieved by eliminating single points of failure and deploying redundant components. HA is vital in environments where system downtime and service interruptions cannot be tolerated, such as in online banking services, e-commerce websites, and health monitoring systems. The goal is to provide seamless, uninterrupted service regardless of hardware failures, power outages, or other potential disruptions.

Fault Tolerance

Fault tolerance is a crucial concept in technology where systems are designed to continue functioning smoothly even when parts of them fail. Its purpose is to ensure reliability and availability, especially in complex environments like those managed by AWS DevOps. In AWS DevOps engineer professional contexts, designing fault-tolerant systems involves creating setups where failures do not lead to a complete system breakdown but are managed effectively. This is key for maintaining operations seamlessly and ensuring that services can handle disruptions without impacting users negatively. Learning how to build and maintain such resilient systems is a core focus of DevOps with AWS training.

Disaster Recovery

Disaster Recovery (DR) in technology is a strategy and set of procedures to help an organization recover and continue operating after a catastrophic event, such as a natural disaster, cyberattack, or system failure. The goal is to minimize downtime and data loss, ensuring that critical business functions can resume quickly and effectively. This involves regularly backing up data, having a clear recovery plan, and utilizing cloud services like AWS for robust and scalable recovery solutions. Proper DR planning is essential for maintaining business continuity and protecting resources.

Source control

Source control, also known as version control, is a system that records changes to a file or set of files over time so that specific versions can be recalled later. It allows multiple people to work on a project simultaneously, providing tools to manage the modifications made by different team members. This is crucial in software development, ensuring that changes can be tracked, errors easily identified, and previous versions restored if necessary. Tools like Git are often integrated into DevOps environments, including those using AWS, enhancing collaboration and efficiency in building and maintaining applications.

A/B testing

A/B testing is a method used in marketing and development to compare two versions of a webpage or app feature against each other to determine which one performs better. Essentially, it involves presenting version 'A' to one set of users and version 'B' to another and then analyzing which version achieves a better conversion rate or user engagement. This statistical analysis helps in making more informed decisions, optimizing website or app functionality, and improving user experience. A/B testing is especially useful in DevOps practices, helping teams swiftly adjust product features for better performance.

Monitoring and Logging

Monitoring and Logging in the context of AWS DevOps involves tracking and recording the behavior and data of applications and infrastructure. Monitoring allows AWS Certified DevOps Engineers to oversee system performance and health, ensuring everything runs smoothly. Logging is crucial for storing information on what happens within systems, helpful for troubleshooting and improving system reliability. Essential for professionals undergoing DevOps with AWS training or aiming for AWS DevOps Certification, these practices help maintain and optimize operations, proving essential for any AWS DevOps Engineer Professional in enhancing system transparency and accountability.

Policies and Standards Automation

Policies and Standards Automation involves using technology to manage and enforce rules and regulations within systems automatically. By defining clear guidelines and automating their application, organizations ensure consistent operations and improved compliance. This is particularly relevant in fields like DevOps, where integrating and automating cloud technologies such as AWS is crucial. For those aiming for roles like AWS DevOps Engineer Professional or seeking AWS DevOps certification, understanding how to automate standards is essential. Proper training, such as DevOps Engineer training or DevOps with AWS Training, prepares professionals to implement and manage these automated controls effectively, enhancing system reliability and security.

Target Audience for Exam Readiness AWS Certified DevOps Engineer Professional

The Exam Readiness AWS Certified DevOps Engineer Professional course is designed for IT professionals seeking to master AWS DevOps tools and methodologies.


  • DevOps Engineers
  • AWS Cloud Architects
  • Software Developers
  • System Administrators
  • IT Managers
  • Quality Assurance Engineers
  • Operations Managers
  • Technical Project Managers


Learning Objectives - What you will Learn in this Exam Readiness AWS Certified DevOps Engineer Professional?

Introduction to Course Learning Outcomes:

The AWS Certified DevOps Engineer Professional course equips participants with advanced skills to automate and optimize DevOps processes using AWS services, focusing on continuous delivery, infrastructure management, and operational best practices.

Learning Objectives and Outcomes:

  • Master automation of the CI/CD pipeline to streamline software delivery using AWS Developer tools.
  • Implement effective source control strategies to maintain code integrity and enable collaboration.
  • Integrate automated testing into the deployment process to ensure code quality and reliability.
  • Securely manage build artifacts and dependencies to maintain a secure software supply chain.
  • Deploy and deliver applications using strategies like A/B, Blue/Green, and Canary deployments on AWS.
  • Apply Infrastructure as Code (IaC) for consistent and efficient provisioning of AWS resources.
  • Enforce security and compliance standards automatically within resource provisioning and application deployment.
  • Set up comprehensive monitoring and logging solutions to gain insights into application and infrastructure performance.
  • Automate incident and event response to maintain high availability and minimize downtime.
  • Design and implement Disaster Recovery strategies that align with business continuity requirements, ensuring resilience and data protection.