Learning Objective
Understand the basics of DevOps engineering in an AWS environment.
AWS Develops training Course
AWS DevOps Certification is a comprehensive training program designed to help IT professionals, developers, and operations teams master DevOps practices using Amazon Web Services (AWS). This course provides hands-on experience in building, automating, deploying, securing, and mon...
- Live + Recorded
- 4 Portfolio Projects
- Rated 4.9 / 5
Overview
AWS DevOps Certification is a comprehensive training program designed to help IT professionals, developers, and operations teams master DevOps practices using Amazon Web Services (AWS). This course provides hands-on experience in building, automating, deploying, securing, and monitoring cloud-based applications while implementing modern DevOps methodologies.
Through live instructor-led sessions and practical demonstrations, learners will gain expertise in Continuous Integration and Continuous Delivery (CI/CD), Infrastructure as Code (IaC), containerization, microservices, serverless computing, deployment automation, security automation, and observability. The program focuses on real-world AWS services and tools, enabling participants to streamline software delivery, improve operational efficiency, and accelerate application deployment in cloud environments.
Participants will learn how to build scalable DevOps pipelines using AWS services such as CodePipeline, CodeBuild, CodeDeploy, CloudFormation, AWS Lambda, ECS, EKS, Fargate, and other essential DevOps tools. By the end of the course, learners will be equipped with the skills required to implement DevOps best practices, automate infrastructure management, enhance application reliability, and support modern cloud-native development workflows.
This certification is ideal for professionals seeking to advance their careers in Cloud Computing, DevOps Engineering, Site Reliability Engineering (SRE), and AWS-based infrastructure management while gaining practical experience with industry-standard DevOps processes and AWS services.
Prerequisites
- Familiarity with AWS Database Services
- Understanding of database design concepts
- Understanding of data modeling for relational or nonrelational databases
Key Features
24 Hours of Live Interactive Trainer-Led Sessions
Build Infrastructure that Supports DevOps Projects
Automate Building, Testing, and Packaging of Code
Curriculum
1. Course overview
Learning Objective
Topics
- Course objective
- Suggested prerequisites
- Course overview breakdown
2. Introduction to DevOps
Learning Objective
Learning Objective
Learn about the fundamentals in DevOps and how AWS enable to implement a DevOps approach.
Topics
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
3. Infrastructure Automation
Learning Objective
Learning Objective
Get an understanding of infrastructure automation in an AWS environment.
Topics
- Introduction to Infrastructure Automation
- Diving into the AWS CloudFormation template
- Modifying an AWS CloudFormation template
4. AWS Toolkits
Learning Objective
Learning Objective
Learn how to configure AWS Command Line Interface.
Topics
- Configuring the AWS CLI
- AWS Software Development Kits (AWS SDKs)
- AWS SAM CLI
- AWS Cloud Development Kit (AWS CDK)
- AWS Cloud9
5. Continuous integration and continuous delivery (CI/CD) with development tools
Learning Objective
Learning Objective
Learn about the Continuous Integration and Continuous Delivery (CI/CD) in an AWS environment.
Topics
- CI/CD Pipeline and Dev Tools
- Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS
- CodeBuild, AWS CodeDeploy and AWS CodePipeline
- AWS CodePipeline
- Demonstration: AWS integration with Jenkins
6. Introduction to Microservices
Learning Objective
Learning Objective
Learn about microservices and their benefits.
Topics
- Introduction to Microservices
7. DevOps and containers
Learning Objective
Learning Objective
Understand the benefits of using containers.
Topics
- 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
8. DevOps and serverless computing
Learning Objective
Learning Objective
Learn how to leverage serverless computing.
Topics
- 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
9. Deployment strategies
Learning Objective
Learning Objective
Learn to implement continuous deployment strategy in AWS.
Topics
- Continuous Deployment
- Deployments with AWS Services
10. Automated testing
Learning Objective
Learning Objective
Understand automated testing in AWS.
Topics
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
11. Security automation
Learning Objective
Learning Objective
Learn the importance of DevSecOps and security measures inside an AWS environment.
Topics
- 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
12. Configuration management
Learning Objective
Learning Objective
Understand the configuration management process in AWS.
Topics
- Introduction to the configuration management process
- AWS services and tooling for configuration management
13. Observability
Learning Objective
Learning Objective
Understand why observability matters and how to use AWS tools to help with it.
Topics
- Introduction to observability
- AWS tools to assist with observability
Who Can Do
FAQ
2. What practical skill sets can I expect to have upon completion of this course?
The AWS certified DevOps engineer training is an advanced level training course that teaches you to use DevOps practices and tools. It will teach you:
- Continuous integration (CI)
- Continuous delivery (CD)
- Infrastructure as code
- Microservices
- Monitoring and logging
- Communication
- Collaboration
