This article explains Amazon Web Services (AWS) cloud services used in different tasks in a machine learning life cycle.
This article focuses on comparing Streamlit and Gradio, machine learning libraries used for creating user interfaces for your machine learning model and deploying them to production. Theese libraries are better for deploying a prototype of your machine learning model, such as creating a demo for your team. Presently they are not good for large scale deployment.
This article gives a brief description and use cases of the data stream analytics services in AWS and Azure. It also contains resources about their prices, components, hands-on examples, code samples, and comparison.
The purpose of this article is to share with you what the Microsoft Azure AI 100 certification on Designing and Implementing an Azure AI Solution is all about, what I did to pass the exam, and the structure of the exam.