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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

Future work

Congratulations on successfully implementing the chatbot application! You have taken a significant step in harnessing the power of AWS for building intelligent conversational interfaces, and you now have the baseline for incorporating this technology into future projects. This project represents an initial version. We want to suggest some improvements and ideas you can implement to extend it and enrich your chatbot.

Extend the actions performed by your chatbot

Your current chatbot can detect conflicts when a user attempts to schedule a meeting but consider expanding its capabilities by implementing logic to suggest available time slots to the user. Additionally, you could introduce a scheduling window, for instance, from 9 AM to 5 PM, and only accept meeting requests within that timeframe:

def check_meeting_slot(prop_date, prop_start, prop_dur):
#check if is there any conflict by querying the dynamoDB table for meeting already accepted at the proposed start time...
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AWS Cloud Projects
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