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AW232: DevOps Engineering on AWS™
Training: AWS™ - Cloud - Certification
Software developers, DevOps engineers, and cloud architects learn how to efficiently develop, deploy, and operate applications on AWS™ using DevOps principles. The course covers CI/CD, infrastructure as code, microservices, monitoring, and logging. It addresses multi-pipeline workflows, automation with CloudFormation, as well as hands-on exercises for serverless and container-based applications.
Online training
Start: 2025-12-15 | 10:00 am
End: 2025-12-17 | 05:00 pm
Location: Online
Price: 1.995,00 € plus VAT.
Online training
Start: 2026-05-18 | 10:00 am
End: 2026-05-20 | 05:00 pm
Location: Online
Price: 1.995,00 € plus VAT.
Agenda:
- Course overview
- Course objective
- Suggested prerequisites
- Course overview breakdown
- Introduction to DevOps
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
- 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
- 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
- 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
- AWS™ CodePipeline
- Demonstration: AWS™ integration with Jenkins
- Hands-on lab: Automating code deployments using AWS™ CodePipeline
- Introduction to Microservices
- 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
- 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
- Deployment strategies
- Continuous Deployment
- Deployments with AWS™ Services
- Automated testing
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
Objectives:
In this course AW232 DevOps Engineering on AWS™, you will:- 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
Target audience:
This course AW232 DevOps Engineering on AWS™ is intended for:- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
Prerequisites:
To participate in the course AW232 DevOps Engineering on AWS™ at qSkills™, you should have completed the following AWS™ training:- Systems Operations on AWS™
- AW230 Developing on AWS™
Additionally, you should meet the following prerequisites:
- Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
- 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
Description:
The course AW232 DevOps Engineering on AWS™ teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS™. This course AW232 DevOps Engineering on AWS™ covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration.Hands-on labs give you experience building and deploying AWS™ CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
This course AW232 DevOps Engineering on AWS™ includes presentations, group exercises, and hands-on labs.
Guaranteed implementation:
from 2 Attendees
Booking information:
Duration:
3 Days
Price:
1.995,00 € plus VAT.
(including lunch & drinks)
Exam (Optional):
290,00 € plus VAT.
Appointment selection:
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