AWS DevOps Engineer Professional Training
Master advanced DevOps practices on AWS with this comprehensive 5-day professional-level training. Learn to implement sophisticated CI/CD pipelines, infrastructure as code at scale, automated security controls, and comprehensive monitoring solutions for enterprise environments.
Training Details
Section titled “Training Details”| Duration | 5 days (40 hours) |
| Level | Advanced |
| Delivery | In-person, Live online, Hybrid |
| Certification | AWS Certified DevOps Engineer - Professional |
Who Is This For?
Section titled “Who Is This For?”- Senior DevOps engineers leading platform initiatives
- Platform engineers designing infrastructure automation
- Site Reliability Engineers (SREs) operating at scale
- Cloud architects implementing DevOps practices
- Technical leads responsible for CI/CD and deployment strategies
- Anyone preparing for the AWS DevOps Engineer Professional exam
Learning Outcomes
Section titled “Learning Outcomes”After completing this training, participants will be able to:
- Design and implement advanced CI/CD pipelines for complex applications
- Implement infrastructure as code using CloudFormation and CDK at enterprise scale
- Automate security controls and compliance monitoring
- Implement comprehensive logging, monitoring, and incident response systems
- Design and operate highly available, fault-tolerant systems
- Implement governance strategies and policy as code
- Optimize costs and performance across large AWS environments
Detailed Agenda
Section titled “Detailed Agenda”Day 1: Advanced CI/CD and Deployment Strategies
Section titled “Day 1: Advanced CI/CD and Deployment Strategies”Module 1: Enterprise CI/CD Architecture
- Multi-account CI/CD pipeline design
- AWS CodePipeline advanced features
- AWS CodeBuild custom build environments
- AWS CodeDeploy deployment strategies
- Cross-region and cross-account deployments
- Hands-on: Build multi-account CI/CD pipeline
Module 2: Advanced Deployment Strategies
- Blue/green deployments with CodeDeploy
- Canary deployments and traffic shifting
- Linear deployments and rollback automation
- Feature flags and deployment controls
- Lambda deployment with CodeDeploy
- Hands-on: Implement canary deployment with automated rollback
Module 3: Container CI/CD
- ECS and EKS deployment pipelines
- Container image scanning and security
- ECR image lifecycle policies
- Fargate task deployment automation
- Helm chart deployments to EKS
- Hands-on: Build container deployment pipeline
Module 4: Testing and Quality Gates
- Automated testing integration in pipelines
- Security scanning with CodeGuru
- Integration and acceptance testing
- Performance testing automation
- Manual approval processes and gates
- Hands-on: Add automated testing to pipeline
Day 2: Infrastructure as Code at Scale
Section titled “Day 2: Infrastructure as Code at Scale”Module 5: Advanced CloudFormation
- CloudFormation macros and custom resources
- Nested stacks and stack sets
- Cross-stack references and exports
- CloudFormation drift detection and remediation
- StackSets for multi-account deployments
- Hands-on: Deploy infrastructure across multiple accounts
Module 6: AWS CDK (Cloud Development Kit)
- CDK constructs, stacks, and apps
- Programming infrastructure with TypeScript/Python
- CDK pipelines for self-mutating deployments
- Custom constructs and construct libraries
- Testing infrastructure code
- Hands-on: Build and deploy CDK application
Module 7: Terraform on AWS (comparison)
- Terraform vs. CloudFormation decision factors
- Terraform state management on AWS
- Terraform modules and remote backends
- Multi-cloud considerations
- Hands-on: Deploy AWS infrastructure with Terraform
Day 3: Security Automation and Compliance
Section titled “Day 3: Security Automation and Compliance”Module 8: Security Automation
- AWS Config rules and remediation
- Security Hub automated responses
- GuardDuty findings automation
- Automated security scanning in CI/CD
- Secrets rotation automation
- Hands-on: Implement automated security remediation
Module 9: Identity and Access Management at Scale
- Cross-account IAM strategies
- IAM Access Analyzer
- Service control policies (SCPs)
- Permission boundaries
- IAM policy validation and testing
- Hands-on: Implement least-privilege IAM automation
Module 10: Compliance and Governance
- AWS Organizations multi-account strategy
- Compliance automation with Config
- CloudFormation hooks for policy enforcement
- AWS Audit Manager
- Automated compliance reporting
- Hands-on: Build compliance monitoring system
Day 4: Monitoring, Logging, and Incident Response
Section titled “Day 4: Monitoring, Logging, and Incident Response”Module 11: Advanced CloudWatch
- CloudWatch metrics math and anomaly detection
- Composite alarms and alarm hierarchies
- CloudWatch Logs Insights advanced queries
- Embedded metrics format
- Cross-account monitoring
- Hands-on: Build advanced monitoring dashboard
Module 12: Distributed Tracing and APM
- AWS X-Ray service maps and traces
- X-Ray sampling and annotations
- Container Insights and Lambda Insights
- Application Performance Monitoring strategies
- Hands-on: Implement distributed tracing
Module 13: Centralized Logging
- Multi-account log aggregation
- CloudWatch Logs subscription filters
- Kinesis Data Firehose for log streaming
- OpenSearch for log analytics
- Log retention and lifecycle
- Hands-on: Build centralized logging solution
Module 14: Incident Response Automation
- EventBridge for event-driven automation
- Systems Manager Automation runbooks
- Incident Manager and response plans
- ChatOps integration
- Post-incident analysis automation
- Hands-on: Create automated incident response
Day 5: High Availability, Resilience, and Optimization
Section titled “Day 5: High Availability, Resilience, and Optimization”Module 15: Designing for Resilience
- Multi-region architecture patterns
- Route 53 failover and health checks
- Global Accelerator for availability
- Chaos engineering with AWS Fault Injection Simulator
- Disaster recovery automation
- Hands-on: Implement multi-region failover
Module 16: Auto Scaling and Capacity Management
- Advanced Auto Scaling policies
- Target tracking and predictive scaling
- Fleet management with Systems Manager
- Capacity planning automation
- Hands-on: Implement advanced scaling strategies
Module 17: Cost Optimization at Scale
- Cost allocation and tagging strategies
- Automated resource cleanup
- Reserved instances and savings plans automation
- Spot instance integration
- Cost anomaly detection and alerts
- Hands-on: Implement automated cost optimization
Module 18: Exam Preparation and Real-World Scenarios
- Professional exam format and domains
- Complex scenario walk-throughs
- Common architectural trade-offs
- Practice questions and case studies
- Study plan and resources
Prerequisites
Section titled “Prerequisites”- 2+ years hands-on AWS experience
- AWS Associate-level certification (Solutions Architect, Developer, or SysOps)
- Strong understanding of distributed systems and microservices
- Experience with at least one programming or scripting language
- Familiarity with Git and version control workflows
Delivery Formats
Section titled “Delivery Formats”| Format | Description |
|---|---|
| In-Person | On-site at your company’s location, hands-on with direct interaction |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs |
| Hybrid | Combination of on-site and remote sessions, flexible scheduling |
All formats include advanced hands-on labs, real-world scenario discussions, architecture reviews, course materials, practice exams, and post-training support.