Become a Cloud Engineer with these 5 AWS Projects!

In Today’s Cloudbites:

👩‍💻 Become a Cloud Engineer with these 5 AWS Projects!

🎓 A Complete Guide On Building the 5 Projects

☁️ Online AI & Cloud Events to Look Forward to

📰 PLUS: GPT-5.2 Is Here with a Major Upgrade

Read time: 4 minutes

Hi friends, welcome back to Cloudbites

In this newsletter, I’ll show you 5 AWS projects to build real-world Cloud Engineer skills.

I’ll also share a big AI highlight from this month that you shouldn’t miss.

CLOUD COMPUTING ☁️

👩‍💻 Become a Cloud Engineer with these 5 AWS Projects!

Want to build real-world projects to help you get hired as a Cloud Engineer?

Here are 5 AWS projects designed to give you practical experience:

#1 On-Premise Application Migration to AWS

This project uses Amazon EC2, RDS MySQL, AWS DMS, and VPC. You’ll migrate a real on-prem Employee Directory application to AWS.

You’ll perform a clean cutover, test connectivity, and understand how Cloud Engineers handle real migrations.

🕒 Est time: 2-3 hours

💰 Est cost: ~$0-1.50

#2 Blue-Green & Rolling Deployments on AWS

Build zero-downtime deployments using ALB, Target Groups, Auto Scaling, and Launch Templates.

You’ll ship new app versions safely using blue-green and rolling strategies, and learn how Cloud Engineers use Instance Refresh to automate updates in production.

🕒 Est time: 2-3 hours

💰 Est cost: ~$0-1.00

#3 Multi-VPC PrivateLink Architecture

Design a secure multi-VPC environment for Payments, Analytics, and Shared Services.

You’ll use PrivateLink to expose internal services without public internet access—an essential skill for building enterprise-grade network architectures.

🕒 Est time: 2-3 hours

💰 Est cost: ~$0-1.00

#4 Event-Driven Order Processing System

Transform a monolithic order processor into an event-driven workflow using API Gateway, Lambda, DynamoDB, SQS, and EventBridge Pipes.

You’ll build a scalable, asynchronous system that handles orders reliably and removes bottlenecks.

🕒 Est time: 2-3 hours

💰 Est cost: ~$0.50-2.00

#5 Multi-Region Failover with AWS Global Accelerator

Deploy an application across two AWS Regions and enable automatic global failover.

You’ll work with Global Accelerator, ALB, and Route 53 health checks to create a highly available, disaster-resilient setup.

🕒 Est time: 2-3 hours

💰 Est cost: ~$0-2.00

YouTube video walkthrough coming soon!

🎓 A Complete Guide On Building the 5 Projects

Like the sound of these 5 projects, but not sure where to start?

I have a guidebook with step-by-step tutorials you can follow along for each project.

If you’re interested in purchasing the guidebook, you can apply the coupon code “YOUTUBE10” for 10% off.

☁️ Online AI & Cloud Events to Look Forward to

#1 Datadog x AWS re:Invent 2025 Recap Webinar [Dec 16]

Datadog and AWS leaders recap the biggest re:Invent announcements, product updates, and cloud strategies from the event, ideal for architects, DevOps, and cloud teams.

Click here to register.

#2 Local AWS Development Live Demo - LocalStack [Dec 16, 2025]

Join a live demo about local cloud development workflows, how to run and test AWS-style applications locally to speed up delivery cycles and reduce cloud costs.

Click here to register.

#3 Cloud Native Now: Secure AI Everywhere [Dec 18, 2025]

Explore how to extend AI security controls across hybrid and container environments (sponsored by Aqua Security and Cloud Native Now).

Click here to register.

ARTIFICIAL INTELLIGENCE (AI) 🤖

📰 PLUS: GPT-5.2 Is Here with a Major Upgrade

OpenAI has officially rolled out GPT-5.2, bringing meaningful improvements to reasoning, speed, and real-world task handling across chat, coding, and analysis.

💡 Here's what you should know:

• Stronger Reasoning: GPT-5.2 shows improved multi-step reasoning, making it better at breaking down complex problems and technical workflows.

• Faster & More Efficient: Responses are quicker and more consistent, especially for longer prompts and detailed tasks.

• Better Coding & Debugging: The model delivers more accurate code generation, clearer explanations, and improved debugging support for developers.

This update signals another step forward in how AI models support real work from software development to cloud engineering and beyond.

THAT’S A WRAP

Thanks for reading! 😊

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