ToDo

If your goal is to become proficient with the AWS Cloud Platform, especially for Cloud/DevOps roles, these are the major skills to learn, roughly from foundational to advanced:

1. Cloud & AWS Fundamentals

   • Cloud computing concepts

   • AWS Global Infrastructure

   • Regions, Availability Zones, and Edge Locations

   • Shared Responsibility Model

   • AWS Management Console, CLI, and SDKs

   • AWS pricing and support plans

2. Identity & Security

   • AWS IAM

   • Users, groups, roles, and policies

   • IAM Identity Center

   • AWS Organizations

   • Service Control Policies (SCPs)

   • AWS KMS

   • Secrets Manager

   • AWS WAF and Shield

   • Security Hub and GuardDuty

3. Networking

   • Amazon VPC

   • Public and private subnets

   • Route tables

   • Internet Gateway

   • NAT Gateway

   • Security Groups

   • Network ACLs

   • Elastic IP addresses

   • VPC Peering

   • Transit Gateway

   • VPC Endpoints / PrivateLink

   • Route 53

   • CloudFront

   • Direct Connect and VPN

4. Compute

   • Amazon EC2

   • AMIs

   • EBS

   • Elastic Load Balancing

   • Auto Scaling

   • AWS Lambda

   • Elastic Beanstalk

   • AWS Batch

5. Storage

   • Amazon S3

   • S3 storage classes

   • Lifecycle policies

   • Versioning and replication

   • Amazon EBS

   • Amazon EFS

   • FSx

   • AWS Backup

   • Storage Gateway

6. Databases

   • Amazon RDS

   • Aurora

   • DynamoDB

   • ElastiCache

   • Redshift

   • Database migration concepts

   • AWS DMS

7. Containers

   • Docker fundamentals

   • Amazon ECS

   • AWS Fargate

   • Amazon EKS

   • Kubernetes fundamentals

   • Elastic Container Registry (ECR)

   • Container networking, scaling, and security

8. Infrastructure as Code

   • AWS CloudFormation

   • AWS CDK

   • Terraform

   • Reusable infrastructure modules

   • Infrastructure state management

   • Automated environment provisioning

9. CI/CD & DevOps

   • Git and GitHub

   • CodeBuild

   • CodeDeploy

   • CodePipeline

   • GitHub Actions with AWS

   • Deployment strategies

   • Blue/green deployments

   • Rolling deployments

   • Canary deployments

   • Automated testing and releases

10. Monitoring & Observability

    • Amazon CloudWatch

    • CloudWatch Logs

    • Metrics and alarms

    • AWS CloudTrail

    • AWS Config

    • AWS X-Ray

    • EventBridge

    • SNS notifications

    • Systems Manager

11. Serverless Architecture

    • AWS Lambda

    • API Gateway

    • DynamoDB

    • EventBridge

    • SQS

    • SNS

    • Step Functions

    • Serverless event-driven architecture

12. Messaging & Integration

    • Amazon SQS

    • Amazon SNS

    • EventBridge

    • Step Functions

    • Amazon MQ

    • Event-driven architectures

    • Decoupled application design

13. High Availability & Disaster Recovery

    • Multi-AZ architecture

    • Multi-Region architecture

    • Auto Scaling

    • Load balancing

    • Backup and restore

    • RTO and RPO

    • Disaster recovery strategies

    • Fault-tolerant architecture

14. AWS Architecture

    • AWS Well-Architected Framework

    • High availability

    • Scalability

    • Reliability

    • Performance efficiency

    • Security

    • Cost optimization

    • Operational excellence

    • Sustainability

15. Cloud Security

    • IAM security

    • Encryption at rest and in transit

    • KMS

    • ACM certificates

    • Secrets management

    • CloudTrail auditing

    • GuardDuty

    • Inspector

    • Security Hub

    • WAF and Shield

    • Network security

16. Cost Management & FinOps

    • AWS Pricing Calculator

    • Cost Explorer

    • AWS Budgets

    • Cost allocation tags

    • Savings Plans

    • Reserved Instances

    • Spot Instances

    • Trusted Advisor

    • Resource rightsizing

17. Automation & Scripting

    • Linux

    • Bash

    • Python

    • AWS CLI

    • JSON/YAML

    • SDK automation

    • Systems Manager

    • Event-driven automation

18. Migration & Hybrid Cloud

    • AWS Migration Hub

    • Application Migration Service

    • Database Migration Service

    • DataSync

    • Storage Gateway

    • Direct Connect

    • Site-to-Site VPN

    • Hybrid architecture

19. Data & Analytics

    • Amazon Athena

    • AWS Glue

    • Amazon Redshift

    • Amazon EMR

    • Kinesis

    • Data lakes using S3

    • Data pipelines

20. Practical Cloud Engineering Skills

    • Linux administration

    • Networking troubleshooting

    • DNS

    • HTTP/HTTPS

    • SSL/TLS

    • Git

    • Docker

    • Kubernetes

    • Terraform

    • CI/CD

    • Monitoring

    • Troubleshooting

    • Architecture documentation

Recommended learning order

For a Cloud/DevOps Engineer, I would prioritize the path as:

AWS Fundamentals → Linux → IAM → VPC → EC2 → S3 → RDS/DynamoDB → Load Balancing → Auto Scaling → Route 53 → CloudWatch → AWS CLI → Git → Docker → ECR/ECS → Kubernetes/EKS → Terraform/CloudFormation → CI/CD → Lambda → Security → Monitoring → High Availability/DR → Cost Optimization

A strong portfolio should then combine these skills into real AWS projects, rather than learning each service independently. For example, deploy a production-style application using VPC + ALB + EC2/ECS + RDS + S3 + Route 53 + CloudFront + IAM + CloudWatch, provision it with Terraform, and deploy it through a CI/CD pipeline.