Core AWS — Cloud Foundations to Platform Engineering
The complete cloud engineering curriculum. Start with your first Lambda function and finish deploying Terraform infrastructure, GitHub Actions OIDC, event-driven architectures, and production secrets management. Every mission runs in a safe, isolated AWS account with automated validation and verified portfolio proof.
Learning Paths
Cloud Explorer
Deploy Lambda functions, create API endpoints, store files in S3, and secure with IAM. 6 beginner missions in real AWS sandboxes.
Automation Captain
EC2, CloudWatch, DynamoDB, CloudFormation, CodePipeline, and Auto Scaling. 6 intermediate missions.
AI Navigator
Bedrock chat, AI Lambda functions, guardrails, RAG pipelines, tool-using agents, and production deployment. 6 advanced missions.
Platform Forge
Terraform, GitHub Actions OIDC, event-driven fan-out, DynamoDB Streams CDC, Step Functions sagas, and KMS security. 6 pro missions.
All Labs
Build Your First AWS Lambda Function
Deploy a serverless function on AWS Lambda from scratch — no servers, no complexity.
Connect API Gateway to Lambda
Create a public HTTP endpoint that triggers your Lambda function.
Store Files in S3 with Uploads
Create an S3 bucket and upload files with proper access controls.
Secure AWS with IAM Least Privilege
Build IAM roles and policies using the principle of least privilege.
Build a Production REST API on AWS
Deploy a production-ready REST API with stages, throttling, and API keys.
Build a Secure File Upload Service
Wire Lambda, S3, and API Gateway into a multi-service file upload system.
Launch an EC2 Instance with Security Groups
Spin up your first EC2 server with proper network security.
Build a CloudWatch Monitoring Dashboard
Set up real-time monitoring with CloudWatch metrics and alarms.
Create a DynamoDB Table for Data Storage
Build a NoSQL database table with DynamoDB for serverless apps.
Write CloudFormation Templates (IaC)
Define AWS infrastructure as code with CloudFormation YAML templates.
Build a CI/CD Pipeline with CodePipeline
Automate deployments with AWS CodePipeline and CodeBuild.
Deploy Auto Scaling Groups with Load Balancers
Scale EC2 instances automatically behind an Application Load Balancer.
Your First AI Chat with AWS Bedrock
Send your first prompt to Claude on Amazon Bedrock.
Build an AI-Powered Lambda Function
Create a Lambda function that calls Claude via Bedrock for AI responses.
Build AI Safety Guardrails with Bedrock
Create content filters and safety guardrails for AI applications.
Build a RAG-Powered Q&A System
Create a retrieval-augmented generation system with Bedrock Knowledge Bases.
Build an AI Agent with Tool Use
Create an AI agent that can call tools and take actions autonomously.
Deploy AI to Production with Monitoring
Ship a production AI application with CloudWatch monitoring and error handling.
Terraform Infrastructure from CloudShell
Deploy AWS infrastructure with Terraform directly from CloudShell.
Keyless GitHub Actions with OIDC
Authenticate GitHub Actions to AWS without storing secrets using OIDC.
Build Event-Driven Architecture with SNS/SQS
Design pub/sub fan-out patterns with SNS topics and SQS queues.
DynamoDB Streams Change Data Capture
Stream database changes in real-time with DynamoDB Streams and Lambda.
Step Functions Saga with Compensation
Orchestrate distributed transactions with Step Functions saga patterns.
Production Secrets with KMS & GuardDuty
Manage secrets with KMS encryption and detect threats with GuardDuty.
Ready to start the Core AWS track?
Every lab runs in a safe AWS sandbox with automated validation. Complete labs show up in your verified portfolio.
Launch Cloud Edventures →