AWS Cookbook

Chapter 8. AI/ML

8.0 Introduction

Machine learning (ML) and artificial intelligence (AI) are two of the hottest topics today. Scale provided by cloud computing and improved algorithms have enabled rapid advances in the abilities of computers to think like humans (aka “provide inferences”). Many mundane and boring tasks that required human intervention can now be automated because of AI.

AI and ML can get complex very quickly. Volumes of text have been written about each. Recipes in this chapter will allow you to explore some of the easy-to-implement AI services provided by AWS and get started building your own models. While you are working through the recipes, try to think about other problematic areas in society that could be well served by these technologies. From supply chain predictive maintenance to song suggestions, the opportunities are endless.

We could have written 100 pages on this topic, but these recipes are great to get started, and you can iterate from there. If you are looking to dive deeper, we suggest you check out Data Science on AWS by Chris Fregly and Antje Barth (O’Reilly, 2021).

Workstation Configuration

Follow the “General workstation setup steps for CLI recipes” to validate your configuration and set up the required environment variables. Then, clone the chapter code repository:

git clone https://github.com/AWSCookbook/ArtificialIntelligence

8.1 Transcribing a Podcast

Problem

You need to create a text transcription of an MP3-based audio, such as ...