Summary
In this chapter, we started with understanding the basics of cloud computing, AWS, ML, and AI. We then explored S3, created buckets, and exported and imported data to and from S3. At the same time, we explored the AWS command line and its uses. Finally, we worked with the console interface of AWS Comprehend as an example of testing various ideas that relate to analyzing texts and documents.
In the next chapter, you will learn more about AWS AI services, serverless computing, and how to analyze text documents using natural language processing (NLP). Researching new AWS services is essential for discovering additional solutions to solve many machine learning problems that you are working on. Additionally, as you saw, AWS has multiple ways of interacting with its services to help test business ideas, evaluate AI/ML models, and do quick prototyping.
