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  • Book Overview & Buying AWS Cloud Projects
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AWS Cloud Projects

AWS Cloud Projects

By : Ivo Pinto, Pedro Santos
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AWS Cloud Projects

AWS Cloud Projects

By: Ivo Pinto, Pedro Santos

Overview of this book

Tired of resumes getting lost in the pile? This book is your roadmap to building an in-demand AWS portfolio that grabs attention and gets you hired. This comprehensive guide unlocks AWS’s full potential through eight real-world projects designed for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You’ll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you’ll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You’ll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you’ll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight. By the end of this book, you’ll have a portfolio of AWS projects to showcase your cloud skills, making you stand out in today’s competitive job market.
Table of Contents (16 chapters)
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1
Part 1: Beginner Level Projects
4
Part 2: Intermediate Level Projects
9
Part 3: Advanced Level Projects

Summary

In this chapter, you saw how AI and ML can help you solve problems that are traditionally hard for regular programming to solve. You, again, followed a structured methodology to approach the project, starting from the requirements, checking for reusable assets, and lastly, architecting.

This time, you built using Terraform.

You dove deep into application logic using Python to retrieve and parse API responses. Then, again, for testing.

At the end of this chapter, you have multiple ideas that you can implement on your own using the AWS documentation to improve this chapter’s project. You can now, confidently, take advantage of AI/ML in your future projects.

In the next chapter, you are going to continue to learn about ML systems, this time applied to dynamic content translation. But that is not all; you will also start your journey into CI/CD tooling.

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AWS Cloud Projects
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