AWS Certified DevOps Engineer – Professional (DevOps Engineering on AWS)

Module 1: Introduction to DevOps on AWS

• DevOps principles and culture
• DevOps lifecycle
• Continuous Integration
• Continuous Delivery
• Continuous Deployment
• DevOps team structures
• Automation principles
• Infrastructure and application delivery
• DevOps best practices

Module 2: Infrastructure Automation

• Infrastructure as Code
• AWS CloudFormation
• CloudFormation templates
• Stacks and stack sets
• Parameters and outputs
• Nested stacks
• Drift detection
• Infrastructure provisioning
• AWS CDK
• Infrastructure automation

Module 3: AWS Developer Toolkits

• AWS CLI
• AWS SDKs
• AWS Cloud9
• AWS SAM CLI
• AWS CDK
• Developer workflows
• Source code management
• Automation through command-line tools

Module 4: Continuous Integration and Continuous Delivery

• CI/CD architecture
• AWS CodeCommit
• AWS CodeBuild
• AWS CodeDeploy
• AWS CodePipeline
• Build automation
• Automated testing
• Artifact management
• Pipeline orchestration
• Multi-stage pipelines
• Multi-environment deployments

Module 5: Advanced Deployment Strategies

• Application deployment models
• All-at-once deployment
• Rolling deployments
• Blue/green deployments
• Canary deployments
• Traffic shifting
• A/B testing
• Deployment validation
• Automated rollback
• Release management

Module 6: Microservices Architecture

• Microservices fundamentals
• Service-oriented architectures
• Application decoupling
• API-based architectures
• Event-driven applications
• Service discovery
• Distributed application design
• Microservices deployment strategies

Module 7: Containers and DevOps

• Docker fundamentals
• Amazon Elastic Container Registry
• Amazon ECS
• Amazon EKS
• AWS Fargate
• Container image management
• Container deployment
• Container security
• CI/CD for containers
• Container monitoring

Module 8: Serverless DevOps

• AWS Lambda
• Amazon API Gateway
• AWS SAM
• Serverless application deployment
• Event-driven architectures
• Serverless CI/CD
• Function versioning
• Traffic shifting
• Serverless monitoring

Module 9: Automated Testing

• Testing strategies
• Unit testing
• Integration testing
• Load testing
• Performance testing
• Security testing
• Synthetic testing
• Automated test pipelines
• Test environments
• Deployment validation
• Fault tolerance testing

Module 10: Security Automation and DevSecOps

• DevSecOps principles
• Security throughout the CI/CD lifecycle
• IAM automation
• AWS Config
• Amazon GuardDuty
• AWS Security Hub
• Amazon Inspector
• Security testing
• Compliance automation
• Automated security remediation
• Secure deployment pipelines

Module 11: Configuration Management

• AWS Systems Manager
• Systems Manager Parameter Store
• Systems Manager Automation
• Patch management
• Configuration management
• Run Command
• Session Manager
• Infrastructure configuration
• Automated operational tasks

Module 12: Observability and Monitoring

• Amazon CloudWatch
• CloudWatch Metrics
• CloudWatch Logs
• CloudWatch Alarms
• AWS CloudTrail
• AWS X-Ray
• Distributed tracing
• Application monitoring
• Infrastructure monitoring
• Log aggregation
• Performance monitoring
• Alerting and incident response

Module 13: High Availability and Resilience

• Highly available application design
• Auto Scaling
• Elastic Load Balancing
• Multi-AZ architectures
• Multi-Region strategies
• Fault tolerance
• Self-healing infrastructure
• Disaster recovery
• Backup and restoration
• Resilience testing

Module 14: Advanced DevOps Architecture

• Enterprise DevOps architecture
• Multi-account environments
• Multi-environment deployment
• Cross-account CI/CD
• Centralized deployment pipelines
• Hybrid environments
• Infrastructure automation
• Governance
• Operational excellence
• Architecture optimization

Module 15: Hands-On DevOps Engineering Workshop

• Build a CloudFormation environment
• Create a CI/CD pipeline
• Automate application builds
• Implement automated testing
• Deploy applications to EC2
• Deploy containerized applications
• Deploy serverless applications
• Implement blue/green deployment
• Configure monitoring and observability
• Integrate security controls
• Automate infrastructure operations
• Troubleshoot a production-style deployment

• DevOps Engineers
• DevOps Architects
• AWS DevOps Engineers
• Cloud Engineers
• Cloud Architects
• Operations Engineers
• System Administrators
• Software Developers
• Site Reliability Engineers
• Infrastructure Engineers
• DevSecOps Engineers
• Release Engineers
• Automation Engineers
• Professionals managing AWS CI/CD and deployment environments
• Professionals preparing for the AWS Certified DevOps Engineer – Professional certification

• Apply DevOps principles and practices to AWS environments.
• Design and implement automated CI/CD pipelines.
• Provision reproducible infrastructure using AWS CloudFormation and Infrastructure as Code.
• Automate application builds, testing, packaging, and deployment.
• Use CodeBuild, CodeDeploy, and CodePipeline effectively.
• Implement rolling, blue/green, canary, and other deployment strategies.
• Deploy applications across EC2, containers, and serverless environments.
• Manage containerized workloads using ECR, ECS, EKS, and Fargate.
• Build automated serverless deployment workflows using AWS Lambda and SAM.
• Integrate security into CI/CD pipelines using DevSecOps practices.
• Automate configuration and operational tasks with AWS Systems Manager.
• Implement application and infrastructure observability using CloudWatch, CloudTrail, and X-Ray.
• Design highly available, scalable, and self-healing environments.
• Automate testing and deployment validation.
• Manage complex multi-environment and multi-account DevOps workflows.
• Troubleshoot and optimize AWS application delivery pipelines.

• Working knowledge of at least one high-level programming language such as Python, Java, C#, PHP, or Ruby.
• Intermediate knowledge of administering Linux or Windows systems from the command line.
• Experience working with AWS Management Console and AWS CLI.
• Familiarity with software development lifecycle practices.
• Understanding of networking, security, monitoring, and cloud infrastructure.
• Previous Developing on AWS or Cloud Operations on AWS training is recommended.

Course: DevOps Engineering on AWS
Level: Intermediate/Advanced
Duration: 3 Days
Delivery: Instructor-led training
Hands-On: Yes
Technology: Amazon Web Services
Focus: DevOps, CI/CD, automation, infrastructure as code, deployment, security, containers, serverless, and observability