3-Day Hands-On Training: Developing on AWS

Audience

• Application Developers (Java / .NET / Node / Python)
• Senior Engineers transitioning to AWS
• Cloud-native & modernization teams

Pre-requisites

• Basic programming experience
• Basic understanding of web apps & REST APIs
• Optional: AWS Cloud Practitioner–level awareness

Delivery Format

• 30% Concepts
• 70% Hands-on Labs
• Each module → Concepts → Demo → Lab → Review

DAY 1 – Core AWS Development Foundations

Module 1: AWS Development Environment

Concepts

• AWS Global Infrastructure (Regions, AZs)
• Shared Responsibility Model (Developer focus)
• AWS SDKs & CLI

Hands-On Lab

• Configure AWS CLI & SDK
• Access S3 using SDK (Java/Python)

Outcome
✔ Application access using Application codes
✔ No hard-coded credentials

Module 2: Compute Options for Developers

Concepts

• EC2 vs Lambda vs Containers (when to use what)
• Amazon EC2 fundamentals
• Auto Scaling basics
• Load Balancer overview (ALB)

Hands-On Lab

• Deploy a simple web app on EC2
• Configure Security Groups
• Add ALB in front of EC2
• Test scaling behavior

Outcome
✔ Choose correct compute for application workloads
✔ Deploy scalable compute layer

Module 3: Storage for Developers

Concepts

• Amazon S3 (buckets, objects, lifecycle)
• S3 security & encryption
• EBS vs EFS vs S3 (developer view)

Hands-On Lab

• Upload & retrieve objects from S3 using SDK
• Enable versioning & lifecycle rules
• Secure S3 with bucket policy

Outcome
✔ Integrate object storage in applications

Module 4: Introduction to IAM

• IAM:
  • Users, Roles, Policies
  • IAM best practices for developers

Hands-On Lab

• Create IAM role for application access
• Use IAM policy simulator

DAY 2 – Data, Messaging & Application Integration

Module 5: Databases on AWS

Concepts

• RDS vs DynamoDB vs Aurora
• Choosing the right database
• Connection management best practices
• Secrets Manager

Hands-On Lab

• Create RDS (MySQL/Postgres)
• Connect application to RDS
• Store DB credentials in Secrets Manager

Outcome
✔ Secure database connectivity
✔ Avoid hard-coded secrets

Module 6: NoSQL DB & High-Scale Applications

Concepts

• DynamoDB architecture
• Partition keys & indexes
• Read/write capacity modes
• DynamoDB Streams

Hands-On Lab

• Create DynamoDB table
• CRUD operations using SDK
• Enable Streams

Outcome
✔ Build highly scalable data layer

Module 7: Introduction to Serverless Development

Concepts

• AWS Lambda deep dive
• Event-driven architecture
• Lambda execution model & limits
• API Gateway basics

Hands-On Lab

• Build a Lambda function
• Expose via API Gateway
• Test using Postman
• Enable logging with CloudWatch

Outcome
✔ Build & expose serverless APIs

Capstone Lab

Build a simple REST API using:

• Lambda
• API Gateway
• S3 for data storage

Module 8: Messaging & Event-Driven Design

Concepts

• SQS vs SNS vs EventBridge
• Decoupled architectures
• Retry & DLQ patterns

Hands-On Lab

• Create SQS queue
• Publish messages from Lambda
• Process messages asynchronously
• Configure DLQ

Outcome
✔ Build resilient, decoupled systems

DAY 3 – Networking & CI/CD for AWS Applications

Module 9: Networking concepts in AWS

Concepts

• Overview of VPC
• Components of VPC
• IP Addressing
• VPC Models

Module 10: AWS Well-Architected Framework

• Concepts
• 6 Pillars overview
• Developer responsibility per pillar
• Common anti-patterns

Module 11: CI/CD for AWS Applications

Concepts

• CI/CD on AWS
• CodeCommit, CodeBuild, CodePipeline
• Infrastructure as Code

Hands-On Lab

• Create CI/CD pipeline
• Build & deploy Lambda automatically
• Version application releases

Outcome
✔ Automated build & deployment

Module 12: AWS AI Services

• AI Services spectrum in AWS

Next

AWS Development Environment

Dipali Kulshrestha ・ Jan 10

#architecture #aws #security