Udemy – AWS Cloud Projects for Engineers: 5 Real-World Projects 2025-9

Updated August 10, 2026 8.1 GB

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Description

AWS Cloud Projects for Engineers: 5 Real-World Projects. This course includes five hands-on cloud exercises that develop the skills needed to design and deploy production-ready systems on the AWS platform. With a fully hands-on approach focused on real-world industry scenarios, this course helps engineers gain hands-on experience using AWS services by building a variety of projects. The training content includes step-by-step implementations of each project, complete with architecture diagrams, automation, and best practices. Participants will not only learn how to choose the right AWS services for different needs, but will also gain the ability to design efficient architectures and answer technical interview questions. This course focuses on tangible results and practical skills, without going into side topics, and prepares engineers to face real-world challenges in the workplace.

What you will learn

Build and deploy 5 real projects:
Build and deploy 5 real AWS Cloud projects from scratch.
Designing AWS architectures:
Design production-ready AWS architectures using best practices.
Implementation in high availability, scalability and security:
Implementing High Availability, Scalability, and Security on AWS.
Hands-on experience with core AWS services:
Gain hands-on experience with core AWS services and tools.
Building a strong portfolio:
Build a strong AWS project portfolio to showcase your skills.
Presenting AWS designs in interviews:
Present AWS designs in interviews and team reviews with confidence.
Projects that will be built:
Serverless Lead Generation System: Build a fully serverless contact form on AWS using Lambda, API Gateway, DynamoDB, and SES.
Highly Available WordPress Website: Deploy a traditional WordPress site on EC2, RDS, and Load Balancer with Auto-healing and Backups.
EpicBook Cloud Transformation: Migrating a Monolithic Web App to AWS Cloud-Native Architecture.
Three-tier web app: Design and deploy a secure three-tier architecture (Frontend, Backend, Database) on AWS.
IoT Anomaly Detection System: Building an IoT pipeline to collect, process, and detect anomalies from device sensor data in real-time.

This course is suitable for people who:

Aspiring cloud engineers who want to build real AWS projects.
Entry-level or mid-level Cloud/DevOps engineers looking to gain hands-on experience with AWS.
Software engineers and system administrators (SysAdmins) who are transitioning to Cloud roles.
Anyone preparing for job interviews as a Cloud Engineer or AWS Solution Architect.