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DevOps Engineering on AWS Course Overview
This is a 3-day, professional-level course that highlights the use of most common DevOps patterns to develop, deploy, and maintain applications on AWS. In this course, you will learn about Continuous Integration (CI), Continuous Delivery (CD), microservices, infrastructure as code, monitoring and logging, and communication and collaboration.
This course prepares you for the AWS Certified DevOps Engineer - Professional Certification by providing the necessary knowledge and skills required to pass the AWS Certified DevOps Engineer Professional (DOP-C01) exam.
Course Curriculum
Audience
The DevOps Engineering on AWS course is intended for:
- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
Eligibility Criteria
Before applying to this course, candidates are required to have:
- Completed Systems Operations on AWS course or Developing on AWS course
- Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
- Intermediate knowledge of administering Linux or Windows systems at the command-line level
- Two or more years of experience provisioning, operating, and managing AWS environments
Course Objectives
In this course, you will learn to:
- Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
- List the advantages, roles and responsibilities of small autonomous DevOps teams
- Design and implement an infrastructure on AWS that supports DevOps development projects
- Leverage AWS Cloud9 to write, run and debug your code
- Deploy various environments with AWS CloudFormation
- Host secure, highly scalable, and private Git repositories with AWS CodeCommit
- Integrate Git repositories into CI/CD pipelines
- Automate build, test, and packaging code with AWS CodeBuild
- Securely store and leverage Docker images and integrate them into your CI/CD pipelines
- Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
- Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
- Integrate testing and security into CI/CD pipelines
- Monitor applications and environments using AWS tools and technologies
About the Certification - AWS CERTIFIED DEVOPS ENGINEER - PROFESSIONAL CERTIFICATION
DevOps Engineering on AWS course leads your way to earning your AWS Certified DevOps Engineer – Professional certification.
Skills gained with this certification:
- Implement and manage continuous delivery systems and methodologies on AWS
- Implement and automate security controls, governance processes, and compliance validation
- Define and deploy monitoring, metrics, and logging systems on AWS
- Implement systems that are highly available, scalable, and self-healing on the AWS platform
- Design, manage, and maintain tools to automate operational processes
About the exam:
Exam Name: AWS Certified DevOps Engineer Professional
Exam Code: DOP-C01
Level: Professional
Duration: 180 minutes
No. of questions: 75 multiple-choice or multiple response
Training Options
ONLINE TRAINING
Instructor-Led Session
- 3 days Instructor-led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured Training Material
- 24*7 Leaner Assistance And Support
CORPORATE TRAINING
Customized to your team's need
- Customized Training Across Various Domains
- Instructor-Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
Course Outline
Module 0: Course overview
- Course objective
- Suggested prerequisites
- Course overview breakdown
Module 1: Introduction to DevOps
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
Module 2: Infrastructure automation
- Introduction to Infrastructure Automation
- Diving into the AWS CloudFormation template
- Modifying an AWS CloudFormation template
- Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing
- resources, and drift detection
Module 3: AWS toolkits
- Configuring the AWS CLI
- AWS Software Development Kits (AWS SDKs)
- AWS SAM CLI
- AWS Cloud Development Kit (AWS CDK)
- AWS Cloud9
- Demonstration: AWS CLI and AWS CDK
- Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure
Module 4: Continuous integration and continuous delivery (CI/CD) with development tools
- CI/CD Pipeline and Dev Tools
- Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild,
- AWS CodeDeploy and AWS CodePipeline
- Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy
Module 4: Continuous integration and continuous delivery (CI/CD) with development tools (continued)
- AWS CodePipeline
- Demonstration: AWS integration with Jenkins
- Hands-on lab: Automating code deployments using AWS CodePipeline
Module 5: Introduction to Microservices
- Introduction to Microservices
Module 6: DevOps and containers
- Deploying applications with Docker
- Amazon Elastic Container Service and AWS Fargate
- Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
- Demonstration: CI/CD pipeline deployment in a containerized application
Module 7: DevOps and serverless computing
- AWS Lambda and AWS Fargate
- AWS Serverless Application Repository and AWS SAM
- AWS Step Functions
- Demonstration: AWS Lambda and characteristics
- Demonstration: AWS SAM quick start in AWS Cloud9
- Hands-on lab: Deploying a serverless application using AWS Serverless Application Model (AWS
- SAM) and a CI/CD Pipeline
Module 8: Deployment strategies
- Continuous Deployment
- Deployments with AWS Services
Module 9: Automated testing
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
Module 10: Security automation
- Introduction to DevSecOps
- Security of the Pipeline
- Security in the Pipeline
- Threat Detection Tools
- Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector
Module 11: Configuration management
- Introduction to the configuration management process
- AWS services and tooling for configuration management
- Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic
- Container Service (Amazon ECS)
Module 12: Observability
- Introduction to observability
- AWS tools to assist with observability
- Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations
Module 13: Reference architecture (Optional module)
- Reference architectures
Module 14: Course summary
- Components of DevOps practice
- CI/CD pipeline review
- AWS Certification
Course Reviews
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Developer
Jeffrey Logan
Architect
FAQ's
AWS skill-sets open doors to excellent career opportunities as major organizations have adopted AWS as their cloud computing platform. Vinsys has exceptional resources to train candidates on the AWS platform with a focus on hands-on training experience. The training includes a blend of hands-on learning and in-depth knowledge-sharing that ensures a great learning experience. Professionals trained at Vinsys demonstrate the necessary practical knowledge and skills required for on-the-job performance.
DevOps Engineering on AWS introduces candidates to the core principles of the DevOps methodology and use cases. The 3-day training course teaches you how to use the combination of tools, practices, and cultural philosophy of DevOps.
Aspiring candidates are recommended to have:
- Completed Systems Operations on AWS course or Developing on AWS course
- Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
- Intermediate knowledge of administering Linux or Windows systems at the command-line level
- Two or more years of experience provisioning, operating, and managing AWS environments
This is a 3-day course.
It is a 180-minutes, professional-level exam that consists of 75 mutiple-choice/multiple-response questions.
AWS Certified DevOps Engineer - Professional certification needs to be renewed every three years.
Initially, no coding experience is required. Many tasks can be done in AWS without coding skills. In case you want to build applications, you will need to learn application coding.
In case you fail an exam, you can retake the certification exam after 14 days. There is no limit on number of attempts but you will have to pay the full registration fee for each attempt.
Developing on AWS Training Course