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Learn AWS Serverless Computing

Learn AWS Serverless Computing

By : Scott Patterson
4 (5)
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Learn AWS Serverless Computing

Learn AWS Serverless Computing

4 (5)
By: Scott Patterson

Overview of this book

Serverless computing is a way to run your code without having to provision or manage servers. Amazon Web Services provides serverless services that you can use to build and deploy cloud-native applications. Starting with the basics of AWS Lambda, this book takes you through combining Lambda with other services from AWS, such as Amazon API Gateway, Amazon DynamoDB, and Amazon Step Functions. You’ll learn how to write, run, and test Lambda functions using examples in Node.js, Java, Python, and C# before you move on to developing and deploying serverless APIs efficiently using the Serverless Framework. In the concluding chapters, you’ll discover tips and best practices for leveraging Serverless Framework to increase your development productivity. By the end of this book, you’ll have become well-versed in building, securing, and running serverless applications using Amazon API Gateway and AWS Lambda without having to manage any servers.
Table of Contents (20 chapters)
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1
Section 1: Why We're Here
4
Section 2: Getting Started with AWS Lambda Functions
9
Section 3: Development Patterns
12
Section 4: Architectures and Use Cases

Building a chatbot with Amazon Lex

Amazon Lex is a fully managed service that uses artificial intelligence and natural language understanding to enable a conversational experience for users. Its text and speech understanding uses the same underlying technology that powers Amazon Alexa, while Amazon Polly provides the functionality for text-to-speech.

In the Lex console, you can configure your inputs in the language model to build your bots and then deploy them to multiple platforms, including mobile applications and social media platforms such as Facebook. Lex scales automatically behind the scenes and can handle many concurrent conversations. What's even better is that, over time, Lex learns how your users are interacting with the bot and can continuously improve the machine learning model to provide a better experience.

We're going to learn about language model concepts...

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