AWS learning path: everything to study, topic by topic

Core cloud computing concepts, shared responsibility model, and AWS global infrastructure

Creating and managing IAM users, groups, and basic permission management

IAM roles, managed and inline policies, policy evaluation logic, and least-privilege access

Multi-account strategies, SCPs, consolidated billing, and organizational units

Infrastructure as code with CloudFormation templates, stacks, and change sets

AWS vs customer responsibility boundaries across infrastructure, container, and abstracted services

Instance types, AMIs, security groups, key pairs, placement groups, and instance metadata

Virtual private clouds, subnets, route tables, NACLs, NAT gateways, and VPC peering

ELB types (ALB, NLB, CLB), target groups, auto scaling groups, and scaling policies

DNS management, routing policies, health checks, and domain registration

CDN distribution, origins, cache behaviors, signed URLs, and Lambda@Edge

Container orchestration with ECS, Fargate serverless compute, task definitions, services, and clusters

Elastic Container Registry for Docker image management, lifecycle policies, scanning, and cross-account access

Managed Kubernetes with EKS, node groups, Fargate profiles, IRSA, and cluster management

Advanced auto scaling with launch templates, scaling policies, predictive scaling, and warm pools

Buckets, objects, storage classes, lifecycle policies, versioning, and access control

Block and file storage, volume types, snapshots, encryption, and performance tuning

Managed relational databases, Multi-AZ, read replicas, Aurora serverless, and backups

NoSQL data modeling, partition keys, sort keys, GSIs, LSIs, and capacity modes

Managed Redis and Memcached, caching strategies, replication, and cluster mode

Serverless functions, triggers, layers, concurrency, cold starts, and best practices

REST and HTTP APIs, stages, authorizers, throttling, and usage plans

Workflow orchestration, state machines, error handling, and Express vs Standard workflows

Message queues, pub/sub, event buses, dead-letter queues, and event-driven patterns

Transactional and marketing email with SES, domain verification, authentication protocols, and bounce handling

AWS developer tools for continuous integration and delivery: CodePipeline, CodeBuild, CodeDeploy, and CodeCommit

Real-time data streaming with Kinesis Data Streams, Firehose, Analytics, and stream processing patterns

Encryption key management, envelope encryption, secret rotation, and parameter store

Metrics, alarms, logs, dashboards, custom metrics, and CloudWatch Insights

Web application firewall rules, DDoS protection, rate-based rules, and managed rule groups

Threat detection, vulnerability scanning, security findings, and automated remediation

Six pillars of the Well-Architected Framework and architectural review process

Reserved instances, savings plans, spot instances, rightsizing, and cost allocation

The 7 Rs of migration, migration strategies, AWS Migration Hub, and database migration

Data analytics with Athena, Glue, QuickSight, Redshift, and Lake Formation for serverless data lakes

Machine learning lifecycle with SageMaker notebooks, training jobs, model endpoints, pipelines, and monitoring

Deploying and operating AWS Control Tower to standardize multi-account environments with guardrails and landing zones

Designing AWS multi-account strategies using AWS Organizations, OU hierarchies, and Service Control Policies

Building AI-powered applications with Amazon Bedrock: model selection, Knowledge Bases, Agents, and responsible AI guardrails

Managing and optimizing AWS costs using Cost Explorer, Savings Plans, Compute Optimizer, and rightsizing strategies

Using AWS Resilience Hub and AWS FIS to measure, test, and improve application resilience against failure scenarios

Operating a comprehensive AWS security posture using Security Hub findings, GuardDuty detectors, and automated remediation