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AWS Projects

Hands-on sequence

Build through the AWS project path in order so account boundaries, identity, runtime behavior, and operational discipline stay connected.

These projects are designed to turn service knowledge into deployable systems that you can explain clearly in portfolio and interview settings.

Project 01: Static Site

Start with object storage delivery, controlled deployment, and simple public hosting.

Open Project

Project 02: Serverless Contact Form

Add API handling, serverless compute, application data, and secrets.

Open Project

Project 03: Scheduled API Ingestion

Introduce recurring automation, external integration, and event-driven processing.

Open Project

Project 04: Analytics Platform

Expand into ingestion, storage organization, and analytical workflow design.

Open Project

Project 05: Agentic RAG Assistant

Extend the platform into retrieval, safety controls, and AI-oriented operations.

Open Project

Purpose

This section contains hands-on AWS projects designed to turn service knowledge into deployable systems that you can explain clearly.

What The Sequence Is Meant To Build

The AWS project path is cumulative. Each project adds a new layer of engineering responsibility rather than starting from scratch every time.

How To Use The Project Path

Start in order unless you already understand the earlier AWS operating model well. The sequence is designed so that each later project assumes you are getting better at explaining identity, deployment, runtime behavior, monitoring, and cost instead of only launching more services.

As you work through a project, try to produce five things every time:

  • a simple architecture diagram,
  • a short explanation of the request or data flow,
  • a clear identity story for deployment and runtime,
  • basic monitoring or alerting evidence,
  • and a short note on the main cost and security tradeoffs.

What Good Output Looks Like

The goal is not only a working deployment. The goal is a project you can explain professionally.

Good project output usually includes:

  • what problem the project solves,
  • why the chosen AWS services fit,
  • how the system is deployed and accessed,
  • what can fail and how you would detect it,
  • what you would improve in the next version.

Portfolio Goal

Each project should produce something you can explain in a resume, interview, or portfolio. The strongest outcome is not only a deployed artifact. It is a clear project story about architecture, tradeoffs, and operational ownership.

How This Fits Into Cloud Engineering

Projects are where cloud engineering stops being abstract. They force you to connect identity, networking, compute, data, observability, and delivery into one system. That is what makes them more valuable than isolated service demos.

Official References