AWS DevOps Engineering- Professional

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AWS DevOps Engineering training illustrates the most proven practices to use DevOps patterns to develop, deploy, and maintain applications on the highly scalable AWS platform. In AWS DevOps course, you will learn how to use the core principles of the DevOps methodology. Through a combination of lectures and hands-on lab exercises, you learn how to design and implement an infrastructure on AWS for the development of projects applicable to startup, small-medium business, and enterprise development scenarios.

Upon the completion of AWS DevOps training course, you will exhibit the following skills:

  • Understand the fundamentals of DevOps methodology and utilize them for designing and implementing the DevOps projects
  • Use AWS Ops Works and AWS Cloud Formation to deploy the infrastructure required for a software development project
  • Use the core principles to set up Git on AWS for Continuous Integration environment
  • Work on Continuous Deployment use cases using AWS technologies, including A/B testing and blue/green deployment
  • Analyze the best fit application deployment technology for a particular scenario among the array of AWS technologies, including AWS Code Deploy, AWS Ops Works, AWS Elastic Beanstalk, and Amazon EC2 Container Service
  • Deliver and monitor the  performance of your application and environment for potential issues on AWS platform
Target audience
  • Software Developers
  • System Administrators
Prerequisites

The intended candidates should pose the following skills:

  • Hands-on administering Windows or Linux systems at the command-line level
  • Working knowledge of any high level programming language (C#, Java, Python, Ruby)
  • Experience of working on AWs both through AWS Command Line Interface  and AWS Management Console

AWS DevOps Engineering training illustrates the most proven practices to use DevOps patterns to develop, deploy, and maintain applications on the highly scalable AWS platform. In AWS DevOps course, you will learn how to use the core principles of the DevOps methodology. Through a combination of lectures and hands-on lab exercises, you learn how to design and implement an infrastructure on AWS for the development of projects applicable to startup, small-medium business, and enterprise development scenarios.

Upon the completion of AWS DevOps training course, you will exhibit the following skills:

  • Understand the fundamentals of DevOps methodology and utilize them for designing and implementing the DevOps projects
  • Use AWS Ops Works and AWS Cloud Formation to deploy the infrastructure required for a software development project
  • Use the core principles to set up Git on AWS for Continuous Integration environment
  • Work on Continuous Deployment use cases using AWS technologies, including A/B testing and blue/green deployment
  • Analyze the best fit application deployment technology for a particular scenario among the array of AWS technologies, including AWS Code Deploy, AWS Ops Works, AWS Elastic Beanstalk, and Amazon EC2 Container Service
  • Deliver and monitor the  performance of your application and environment for potential issues on AWS platform
Target audience
  • Software Developers
  • System Administrators
Prerequisites

The intended candidates should pose the following skills:

  • Hands-on administering Windows or Linux systems at the command-line level
  • Working knowledge of any high level programming language (C#, Java, Python, Ruby)
  • Experience of working on AWs both through AWS Command Line Interface  and AWS Management Console

AWS DevOps Engineering- Professional Course Content

Week 1

  • What is DevOps?
  • Infrastructure as Code, Part 1: Design and Security
  • Infrastructure as Code, Part 2: Cloud Formation and Configuration Management
  • Labs Sessions

Week 2

  • Continuous Integration in the Cloud
  • Continuous Delivery on AWS
  • Deploying Applications on AWS, Part 1
  • Labs Sessions

Week 3

  • Deploying Applications on AWS, Part 2
  • Putting It All Together
  • Performance-Tuning Your Deployments
  • Administering and Automating Your Infrastructure
  • Labs Sessions

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