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The AWS Certified DevOps Engineer – Professional course focuses on advanced DevOps practices using AWS tools and services. It covers automating software development, deployment, and infrastructure management, with hands-on experience in AWS CloudFormation, CodePipeline, and CodeBuild. Participants will master deployment strategies and CI/CD pipelines, preparing them for complex DevOps challenges in AWS.
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( 4.6 Ratings )
Live Online Classes starting on 01 January, 1970
AWS Certified DevOps Engineer - Professional
AWS Certified DevOps Engineer – Professional (DevOps Engineering on AWS)
The AWS Certified DevOps Engineer – Professional course is tailored for professionals aiming to excel in DevOps and cloud computing using AWS. This comprehensive program is ideal for system administrators and software developers seeking to master AWS tools and services for automating software development, deployment, and infrastructure management tasks.
Participants will delve into the core principles of DevOps to enhance the software development lifecycle, resulting in faster and higher-quality delivery. The course includes hands-on experience with AWS services such as CloudFormation, OpsWorks, CodeCommit, CodeBuild, CodePipeline, and CodeStar. Learners will explore various deployment strategies, including blue/green and A/B testing, and understand configuration management and automated testing to create robust CI/CD pipelines.
The course incorporates practical exercises to apply theoretical knowledge in real-world scenarios, preparing participants for the complexities of a DevOps engineering role in an AWS environment.
Course Prerequisites:
To maximize the benefits of the AWS Certified DevOps Engineer – Professional course, participants should meet the following prerequisites:
-
Completion of either the 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 via the command line.
-
Practical experience with AWS, including familiarity with the AWS Management Console and AWS CLI.
These prerequisites provide a solid foundation, allowing participants to focus on advanced DevOps practices and tools provided by AWS.
Target Audience:
This course is designed for IT professionals who wish to apply DevOps practices on AWS, including:
-
System Administrators experienced with AWS
-
Experienced Software Developers
-
DevOps Engineers
-
IT Professionals with programming knowledge (C#, Java, PHP, Ruby, Python)
-
Cloud Solutions Architects
-
Operations Support Staff
-
Technical Project Managers
-
Professionals interested in automating AWS infrastructure
-
Individuals with experience in Linux or Windows system administration
-
AWS Cloud Practitioners specializing in DevOps
-
Quality Assurance Engineers
-
Security Professionals focused on DevSecOps
-
Professionals who have completed Systems Operations on AWS or Developing on AWS courses
Learning Objectives:
By the end of this course, participants will be able to:
-
Apply DevOps principles for collaborative and efficient software development.
-
Design, implement, and manage scalable and reliable AWS infrastructure for DevOps projects.
-
Master Infrastructure as Code (IaC) using AWS CloudFormation and AWS OpsWorks for automated setups.
-
Implement Continuous Integration (CI) with AWS CodeCommit and AWS CodeBuild.
-
Construct and manage Continuous Delivery (CD) pipelines using AWS CodePipeline for streamlined releases.
-
Use AWS CodeStar to integrate development tools and activities into a unified interface.
-
Execute advanced deployment strategies such as blue/green and A/B testing with AWS services.
-
Select appropriate AWS services for deployment, including AWS CodeDeploy, AWS Elastic Beanstalk, and container services like Amazon ECS/ECR.
-
Use Amazon EC2 Systems Manager for automated patch management to maintain security and compliance.
-
Incorporate automated testing in the CI/CD pipeline to ensure code quality and reliability.
-
Optimize application performance on AWS and use monitoring tools to detect and resolve issues in real-time.
( 4.6 Ratings )
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Live Online Training (Duration : 24 Hours)
Guaranteed to run classes as per your convenient time zone
Industry experienced & certified trainers
Query Handling session by technical expert after 2 month completion of training
Career path counselling
Custom tailored training as per the requirement
Exam assistance
Exam Mock papers
100% Quality assurance with certified & industry experienced Trainer
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AWS Certified DevOps Engineer – Professional (DevOps Engineering on AWS)
The AWS Certified DevOps Engineer – Professional course is tailored for professionals aiming to excel in DevOps and cloud computing using AWS. This comprehensive program is ideal for system administrators and software developers seeking to master AWS tools and services for automating software development, deployment, and infrastructure management tasks.
Participants will delve into the core principles of DevOps to enhance the software development lifecycle, resulting in faster and higher-quality delivery. The course includes hands-on experience with AWS services such as CloudFormation, OpsWorks, CodeCommit, CodeBuild, CodePipeline, and CodeStar. Learners will explore various deployment strategies, including blue/green and A/B testing, and understand configuration management and automated testing to create robust CI/CD pipelines.
The course incorporates practical exercises to apply theoretical knowledge in real-world scenarios, preparing participants for the complexities of a DevOps engineering role in an AWS environment.
Course Prerequisites:
To maximize the benefits of the AWS Certified DevOps Engineer – Professional course, participants should meet the following prerequisites:
-
Completion of either the 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 via the command line.
-
Practical experience with AWS, including familiarity with the AWS Management Console and AWS CLI.
These prerequisites provide a solid foundation, allowing participants to focus on advanced DevOps practices and tools provided by AWS.
Target Audience:
This course is designed for IT professionals who wish to apply DevOps practices on AWS, including:
-
System Administrators experienced with AWS
-
Experienced Software Developers
-
DevOps Engineers
-
IT Professionals with programming knowledge (C#, Java, PHP, Ruby, Python)
-
Cloud Solutions Architects
-
Operations Support Staff
-
Technical Project Managers
-
Professionals interested in automating AWS infrastructure
-
Individuals with experience in Linux or Windows system administration
-
AWS Cloud Practitioners specializing in DevOps
-
Quality Assurance Engineers
-
Security Professionals focused on DevSecOps
-
Professionals who have completed Systems Operations on AWS or Developing on AWS courses
Learning Objectives:
By the end of this course, participants will be able to:
-
Apply DevOps principles for collaborative and efficient software development.
-
Design, implement, and manage scalable and reliable AWS infrastructure for DevOps projects.
-
Master Infrastructure as Code (IaC) using AWS CloudFormation and AWS OpsWorks for automated setups.
-
Implement Continuous Integration (CI) with AWS CodeCommit and AWS CodeBuild.
-
Construct and manage Continuous Delivery (CD) pipelines using AWS CodePipeline for streamlined releases.
-
Use AWS CodeStar to integrate development tools and activities into a unified interface.
-
Execute advanced deployment strategies such as blue/green and A/B testing with AWS services.
-
Select appropriate AWS services for deployment, including AWS CodeDeploy, AWS Elastic Beanstalk, and container services like Amazon ECS/ECR.
-
Use Amazon EC2 Systems Manager for automated patch management to maintain security and compliance.
-
Incorporate automated testing in the CI/CD pipeline to ensure code quality and reliability.
-
Optimize application performance on AWS and use monitoring tools to detect and resolve issues in real-time.
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