Azure Readiness starts here...

The best way to know the future, is to learn it

Packt Book Review - Data Science in .NET with Polyglot Notebooks

In this post, I want to share my review of my next technical book I read recently, Data Science in .NET with Polyglot Notebooks this time from Matt Eland, (https://bsky.app/profile/matteland.dev) published by Packt Publishing and available on Amazon as well as other e-book subscription platforms. If you have been following me for a while, you know I’m gradually learning more about coding and developing applications, especially using the .NET framework. More recently, I also started using Jupyter Notebooks to animate my Azure AI workshops - specifically Semantic Kernel demos - a bit more, by running .

Introduction to Semantic Kernel

Introduction to Developing Azure AI Solutions In today’s rapidly evolving tech landscape, Artificial Intelligence (AI) has become a cornerstone for innovation. Azure AI offers a robust suite of tools and services that empower developers to build intelligent applications. From natural language processing (NLP) to computer vision, Azure AI provides the building blocks to create solutions that can understand, interpret, and respond to human inputs in a meaningful way. While Microsoft has several Copilot offerings for different use cases, ranging from an AI assistant in Azure, Copilot in M365 or web and mobile, there are still valid use cases for developing your own custom Copilot.