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

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

The AWS Certified DevOps Engineer – Professional course is designed for individuals aiming to enhance their skills in DevOps and cloud computing on the AWS platform. This comprehensive course targets system administrators and software developers who want to master the art of using AWS services and tools for automating software development, deployment, and infrastructure management tasks.

By engaging in this course, participants will learn to apply the core principles of the DevOps methodology to improve the software development lifecycle, ensuring faster delivery and higher quality. They will gain hands-on experience with AWS CloudFormation, AWS OpsWorks, AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeStar.

Learners will also explore various deployment strategies, including blue/green and A/B testing, and understand how to implement configuration management and Automated testing to ensure robust and efficient CI/CD pipelines. The course includes practical exercises that give participants the opportunity to apply what they've learned in real-world scenarios, solidifying their knowledge and preparing them for the challenges of a DevOps engineering role in an AWS environment.

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Course Prerequisites

To ensure you have the best learning experience in the AWS Certified DevOps Engineer – Professional (DevOps Engineering on AWS) course, we recommend that you meet the following prerequisites before enrolling:

 

  • Completion of either Systems Operations on AWS or Developing on AWS course, or equivalent knowledge.
  • A working understanding of at least one high-level programming language (e.g., C#, Java, PHP, Ruby, Python).
  • Intermediate proficiency in administering Linux or Windows systems at the command-line level.
  • Practical experience with AWS, including proficiency with the AWS Management Console and the AWS Command Line Interface (AWS CLI).

 

These prerequisites are designed to provide a solid foundation for the course material. The course builds upon these core skills, allowing you to focus on learning the advanced DevOps practices and tools offered by AWS. If you meet these requirements, you'll be well-prepared to dive into the course and start your journey toward becoming an AWS Certified DevOps Engineer – Professional.

 

Roadmaps

Target Audience for AWS Certified DevOps Engineer – Professional ( DevOps Engineering on AWS )

The AWS Certified DevOps Engineer – Professional course is designed for IT professionals seeking to leverage DevOps practices on AWS.

Target Audience:

  • System Administrators experienced with AWS
  • Experienced Software Developers
  • DevOps Engineers
  • IT Professionals with knowledge of programming (C#, Java, PHP, Ruby, Python)
  • Cloud Solutions Architects
  • Operations Support Staff
  • Technical Project Managers
  • Professionals interested in automating AWS infrastructure
  • Individuals with experience in administering Linux or Windows systems
  • AWS Cloud Practitioners looking to specialize in DevOps
  • Quality Assurance Engineers
  • Security Professionals interested in DevSecOps
  • Professionals who have completed Systems Operations on AWS or Developing on AWS courses

Learning Objectives - What you will Learn in this AWS Certified DevOps Engineer – Professional ( DevOps Engineering on AWS )?

Introduction to Learning Outcomes

The AWS Certified DevOps Engineer – Professional course equips participants with advanced expertise in DevOps practices using AWS services to automate software development and deployment processes efficiently.

Learning Objectives and Outcomes

  • Understand and apply the principles of DevOps methodology for collaborative and high-speed software development.
  • Design, implement, and manage a scalable and reliable infrastructure on AWS to support DevOps projects.
  • Master Infrastructure as Code (IaC) using AWS CloudFormation and AWS OpsWorks for automated environment setups.
  • Implement a robust Continuous Integration (CI) environment with AWS CodeCommit and AWS CodeBuild.
  • Construct and manage Continuous Delivery (CD) pipelines using AWS CodePipeline for streamlined software release processes.
  • Integrate AWS CodeStar to consolidate software development activities and tools in a unified interface.
  • Execute advanced deployment strategies such as blue/green deployments and A/B testing with AWS deployment services.
  • Compare and select appropriate AWS services for application deployment, including AWS CodeDeploy, AWS Elastic Beanstalk, and container services like Amazon ECS/ECR.
  • Employ Amazon EC2 Systems Manager for automated patch management to maintain security and compliance.
  • Incorporate automated testing strategies in the CI/CD pipeline to ensure code quality and reliability.
  • Optimize application performance on AWS and utilize monitoring tools to detect and troubleshoot potential issues in real-time.

Technical Topic Explanation

AWS CodePipeline

AWS CodePipeline is a continuous integration and continuous delivery (CI/CD) service that automates the build, test, and deploy phases of your application development lifecycle. It seamlessly integrates with various AWS services, enabling DevOps engineering on AWS. This platform facilitates a smoother and faster pathway for deploying applications, which is critical for AWS DevOps certification paths. By using CodePipeline, professionals can align with AWS certified DevOps engineer professional standards, optimizing the delivery process and potentially reducing the overall AWS DevOps engineer training and certification costs.

AWS CodeStar

AWS CodeStar is a cloud-based service from Amazon Web Services that helps developers quickly develop, build, and deploy applications on AWS. It simplifies the setup of a continuous integration and delivery (CI/CD) toolchain and automates the release process. With AWS CodeStar, users can easily manage all aspects of their software development lifecycle, including source control, build, test, and release. CodeStar supports several programming languages and integrates with AWS services, streamlining the path to becoming an AWS Certified DevOps Engineer Professional by providing practical, real-world experience in DevOps engineering on AWS.

Configuration management

Configuration management in technology is a process for maintaining computer systems, servers, and software in a desired, consistent state. It’s especially important in DevOps to handle changes systematically so that systems don't break when updates are made. Tools like AWS help with configuration management by automating and simplifying tasks to increase efficiency and reduce errors. This fits within the larger AWS DevOps certification path, where one can become a certified AWS DevOps Engineer to demonstrate their expertise in managing and orchestrating updates seamlessly across distributed environments using AWS services.

Automated testing

Automated testing involves using software tools to run tests on other software automatically, checking for errors and ensuring it functions as expected without manual intervention. This is crucial in DevOps, a practice combining software development and IT operations, which aims to shorten development cycles, increase deployment frequency, and create more dependable releases. In contexts like AWS (Amazon Web Services), automated testing becomes integral to streamlining deployments and enhancing product quality. AWS provides various tools and services that support automation in testing, helping teams achieve faster results and more robust systems, pivotal for anyone on the AWS DevOps certification path.

CI/CD pipelines

CI/CD pipelines refer to the automated process in software development that allows for continuous integration (CI) and continuous delivery (CD). In this system, developers regularly merge code changes into a central repository, where automated builds and tests are run. Continuous integration helps catch bugs quickly, while continuous delivery smoothly pushes code changes to the production environment. This facilitates faster, more reliable software releases. DevOps teams, particularly those using AWS DevOps solutions, integrate these pipelines to enhance deployment frequency and product quality, following practices and tools outlined in the AWS DevOps Engineer Training and the AWS Certified DevOps Engineer Professional certification path.

AWS CloudFormation

AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS. You create a template in a simple text file format, which describes all your AWS resources and their properties. When you use AWS CloudFormation, you can easily provision and update a complete stack of resources in a predictable way, allowing you to automate your DevOps workflows and helping speed up the deployment of infrastructure and applications.

AWS OpsWorks

AWS OpsWorks is a configuration management service offered by Amazon Web Services that helps automate server setup, scaling, and management. Using OpsWorks, you can deploy and operate applications of any scale or complexity on AWS. It employs Chef and Puppet, popular automation platforms that manage the various tasks and operations needed to maintain your instances and applications. OpsWorks can integrate with other AWS services and offers detailed monitoring and control for your infrastructure, which is essential for practicing DevOps, leading to improved deployment, security, and performance of applications.

AWS CodeCommit

AWS CodeCommit is a source control service hosted by Amazon Web Services that allows you to securely store and manage your code in private Git repositories. This tool supports collaborative coding efforts, simplifying the sharing and tracking of code changes. CodeCommit is designed to be highly scalable and integrates seamlessly with other AWS services, making it an attractive choice for developers working on DevOps engineering on AWS. By using CodeCommit, teams can automate their release workflows, enhance code security, and streamline project management tasks, contributing to a more efficient DevOps environment.

AWS CodeBuild

AWS CodeBuild is a service that compiles source code, runs tests, and produces ready-to-deploy software packages. It automates the process of building and testing code every time there is a code change, based on the principles of continuous integration and delivery. This tool supports numerous programming languages and integrates with various AWS services, making it popular among DevOps engineers on AWS. Professionals aiming for the AWS Certified DevOps Engineer Professional certification find AWS CodeBuild relevant as it forms a core part of AWS DevOps engineering practices. It is especially integral in AWS DevOps certification path, enhancing skills in automated pipelines and processes.

Target Audience for AWS Certified DevOps Engineer – Professional ( DevOps Engineering on AWS )

The AWS Certified DevOps Engineer – Professional course is designed for IT professionals seeking to leverage DevOps practices on AWS.

Target Audience:

  • System Administrators experienced with AWS
  • Experienced Software Developers
  • DevOps Engineers
  • IT Professionals with knowledge of programming (C#, Java, PHP, Ruby, Python)
  • Cloud Solutions Architects
  • Operations Support Staff
  • Technical Project Managers
  • Professionals interested in automating AWS infrastructure
  • Individuals with experience in administering Linux or Windows systems
  • AWS Cloud Practitioners looking to specialize in DevOps
  • Quality Assurance Engineers
  • Security Professionals interested in DevSecOps
  • Professionals who have completed Systems Operations on AWS or Developing on AWS courses

Learning Objectives - What you will Learn in this AWS Certified DevOps Engineer – Professional ( DevOps Engineering on AWS )?

Introduction to Learning Outcomes

The AWS Certified DevOps Engineer – Professional course equips participants with advanced expertise in DevOps practices using AWS services to automate software development and deployment processes efficiently.

Learning Objectives and Outcomes

  • Understand and apply the principles of DevOps methodology for collaborative and high-speed software development.
  • Design, implement, and manage a scalable and reliable infrastructure on AWS to support DevOps projects.
  • Master Infrastructure as Code (IaC) using AWS CloudFormation and AWS OpsWorks for automated environment setups.
  • Implement a robust Continuous Integration (CI) environment with AWS CodeCommit and AWS CodeBuild.
  • Construct and manage Continuous Delivery (CD) pipelines using AWS CodePipeline for streamlined software release processes.
  • Integrate AWS CodeStar to consolidate software development activities and tools in a unified interface.
  • Execute advanced deployment strategies such as blue/green deployments and A/B testing with AWS deployment services.
  • Compare and select appropriate AWS services for application deployment, including AWS CodeDeploy, AWS Elastic Beanstalk, and container services like Amazon ECS/ECR.
  • Employ Amazon EC2 Systems Manager for automated patch management to maintain security and compliance.
  • Incorporate automated testing strategies in the CI/CD pipeline to ensure code quality and reliability.
  • Optimize application performance on AWS and utilize monitoring tools to detect and troubleshoot potential issues in real-time.