I recently received my AWS Academy Cloud Foundation Certification and learned a lot about the AWS platform in the process. The platform's wide range of offerings has really pleased me. What I learned from AWS is that it can instantly run a server, host a highly accessible website for almost no cost, construct an app for as little as a few dollars per month, and scale up to millions of users in minutes. Using the same AWS backbone and infrastructure that powers internet behemoths like Amazon, Netflix, and Airbnb, you can scale up to meet your operational requirements. The cloud makes it easier to deploy and experiment with new goods and services by simplifying many procedures that were previously cumbersome and difficult to master. The combination of machine learning (ML) and cloud computing is a match made in heaven. To put it another way, ML necessitates data pipelines capable of consuming massive volumes of data required to train and finetune models, high-performance computation capable of handling the workload, and scalable storage and database solutions to store all the data that has yet to be processed.
