Beginner to Expert AWS Journey
Master AWS Cloud from absolute zero to expert architect
A complete, interactive learning platform covering 14 AWS modules, 10 hands-on projects, real-world troubleshooting scenarios, simulators, and certification prep — designed for AI/ML developers and DevOps engineers.
14
In-Depth Modules
72+
Interactive Lessons
10
Hands-On Projects
12+
Quizzes & Scenarios
Overall Progress
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Beginner Level
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Pick up where you left off or start something new
beginner
Cloud Computing Fundamentals
Cloud 101
0 / 6 lessons0%
beginner
AWS Essentials — The Platform Itself
AWS 101
0 / 5 lessons0%
intermediate
Identity and Access Management (IAM)
IAM
0 / 6 lessons0%
intermediate
Amazon EC2 — Elastic Compute Cloud
EC2
0 / 6 lessons0%
intermediate
Amazon S3 — Simple Storage Service
S3
0 / 5 lessons0%
intermediate
Amazon RDS — Managed Relational Databases
RDS
0 / 5 lessons0%
Interactive Learning Tools
CLI Playground
Practice AWS CLI commands in a safe, simulated terminal environment.
IAM Simulator
Build and test IAM policies interactively. Diagnose AccessDenied scenarios.
Architecture Builder
Drag-and-drop AWS components to build architectures and get instant feedback.
AWS Console Clone
A full simulated AWS Management Console with end-to-end launch wizards for EC2, S3, IAM, VPC, Lambda, and CloudWatch.
Troubleshooting
Step through real AWS incidents: EC2 unreachable, AccessDenied, Lambda timeouts, and more.
Certification Tracks
Structured preparation for AWS certification exams
What You'll Master
From absolute beginner to senior cloud architect
Cloud computing fundamentals & shared responsibility model
IAM deep dive: users, roles, policies, cross-account access
EC2, Auto Scaling, and multi-AZ high availability
S3 storage classes, lifecycle policies, encryption
RDS managed databases, Multi-AZ, read replicas
AWS CLI mastery for scripting and automation
Lambda & API Gateway serverless architectures
VPC networking: subnets, routing, NAT, peering
Security: least privilege, encryption, monitoring
Containers: Docker, ECS, Fargate, ECR
DevOps: CI/CD, IaC, deployment strategies
AI/ML infrastructure: data lakes, model serving