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Aws Mastery Roadmap(2025 Edition)

Phase 0: Foundation

Beginner Level

Lock the basics before diving into AWS.

🐧 Linux & System Basics

  1. 1. Linux shell commands (SSH, user management, systemd)
  2. 2. File permissions and process management
  3. 3. Basic scripting and automation
  4. 4. System monitoring and troubleshooting

🌐 Networking Fundamentals

  1. 1. IP addressing and subnetting
  2. 2. DNS, ports, and protocols
  3. 3. TCP/IP model and OSI layers
  4. 4. Basic security concepts

💻 Developer Essentials

  1. 1. Git + GitHub version control
  2. 2. Python programming basics
  3. 3. Basic CI/CD concepts
  4. 4. Understanding cloud terminology
Phase 0
Phase 1
Phase 1: Core AWS Services

Intermediate Level

Essential building blocks every employer expects.

⚡ Compute

  1. 1. EC2 (instances, AMI, autoscaling, load balancers)
  2. 2. Lambda (serverless basics, triggers)
  3. 3. Elastic Beanstalk basics
  4. 4. Instance types and pricing models

🌐 Networking

  1. 1. VPC (subnets, route tables, NAT, peering, Transit Gateway)
  2. 2. Security Groups & NACLs
  3. 3. VPN connectivity & Direct Connect basics
  4. 4. DNS with Route 53

💾 Storage & Databases

  1. 1. S3 (storage classes, lifecycle rules, versioning)
  2. 2. EBS vs EFS
  3. 3. RDS & Aurora
  4. 4. Backup and disaster recovery strategies

🔒 IAM & Security

  1. 1. IAM Users/Roles/Policies/STS
  2. 2. AWS Organizations
  3. 3. Secrets Manager & KMS
  4. 4. MFA and access management best practices

🚀 Core AWS Projects

  1. 1. ✅ Deploy WordPress with EC2 + RDS + S3 backup
  2. 2. ✅ Host static website on S3 + CloudFront + Route53
  3. 3. Build production-ready 3-tier app architecture
  4. 4. Implement basic monitoring and alerts
Phase 1
Phase 2
Phase 2: Industry Ops Skills: DevOps + Automation

Advanced Level

Where 90% of demand is - become hireable.

🏗️ Infrastructure as Code

  1. 1. Terraform (MOST in demand) - modules, state management
  2. 2. CloudFormation (good to know)
  3. 3. IaC best practices and version control
  4. 4. Multi-environment deployment strategies

🔄 CI/CD

  1. 1. AWS CodePipeline, CodeBuild, CodeDeploy
  2. 2. GitHub Actions (bonus)
  3. 3. Blue-Green and Canary deployments
  4. 4. Automated testing in pipelines

🐳 Containers

  1. 1. Docker fundamentals and Dockerfile optimization
  2. 2. ECS Fargate architecture
  3. 3. EKS (Kubernetes on AWS)
  4. 4. Container orchestration patterns

📊 Monitoring

  1. 1. CloudWatch metrics, logs, and dashboards
  2. 2. CloudWatch Alarms and SNS notifications
  3. 3. X-Ray for distributed tracing
  4. 4. Log aggregation and analysis

🎯 DevOps Projects

  1. 1. ✅ Build microservices on ECS Fargate with CI/CD
  2. 2. ✅ Terraform workspace deploying VPC + EC2 + RDS end-to-end
  3. 3. Implement complete monitoring solution
  4. 4. Set up multi-stage deployment pipeline
Phase 2
Phase 3
Phase 3: Advanced & Production Architecture

Advanced Level

Design scalable and secure system diagrams.

🏢 Enterprise Architecture

  1. 1. AWS Well-Architected Framework (5 pillars)
  2. 2. High Availability vs Fault Tolerance
  3. 3. Scalability patterns and auto-scaling strategies
  4. 4. Cost optimization and FinOps practices

🌐 Advanced Networking

  1. 1. VPC Endpoint, PrivateLink
  2. 2. NLB, ALB advanced configurations
  3. 3. Multi-account architecture and AWS Control Tower
  4. 4. Hybrid cloud networking patterns

🔐 Security Deep Dive

  1. 1. Zero Trust security model
  2. 2. AWS Security Hub, GuardDuty, WAF, Shield
  3. 3. Compliance frameworks (SOC2, HIPAA, PCI-DSS)
  4. 4. Incident response and forensics

⚡ Serverless Mastery

  1. 1. EventBridge event-driven patterns
  2. 2. API Gateway advanced features
  3. 3. DynamoDB single table design
  4. 4. Lambda optimization and best practices

🚀 Advanced Projects

  1. 1. ✅ Event-driven Serverless App: Lambda + S3 + DynamoDB + API Gateway + Cognito
  2. 2. Multi-region disaster recovery system
  3. 3. Complete security audit and remediation
  4. 4. Cost optimization case study
Phase 3
Phase 4
Phase 4: Specialization Track

Expert Level

Pick your path - this gets you the high salary.

☁️ Cloud / DevOps Engineer

  1. 1. EKS advanced deployments
  2. 2. GitOps with ArgoCD
  3. 3. Advanced CI/CD automation
  4. 4. Blue-Green and Canary deployment strategies

🔒 Security Engineer

  1. 1. IAM advanced policies and SCPs
  2. 2. KMS encryption and key management
  3. 3. CloudTrail, GuardDuty, SOAR
  4. 4. Security automation and compliance

📊 Data Engineer

  1. 1. AWS Glue ETL pipelines
  2. 2. Redshift data warehousing
  3. 3. EMR big data processing
  4. 4. Kinesis real-time streaming, Athena queries

🤖 Machine Learning Engineer

  1. 1. SageMaker model training and deployment
  2. 2. Feature Store and ML pipelines
  3. 3. MLOps best practices
  4. 4. Model monitoring and optimization

🏗️ Solutions Architect

  1. 1. Multi-cloud architecture design
  2. 2. Hybrid networking solutions
  3. 3. Disaster recovery planning
  4. 4. Enterprise migration strategies