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

How Spotify disappointed me with AI Artists

I’m usually pretty excited about AI and more specifically about Generative AI, especially with Microsoft Copilot, GitHub Copilot and Microsoft Foundry. I might be biased, but outside of my professional interactions with GenAI, I’m not into all the social media hypes around it (anyone remembers the Studio Gihbli hype from summer or any similar?) With a few days off for Thanksgiving here in the USA, I wanted to spend a bit more time on updating my Spotify playlists.

Using GitHub Copilot Agent Mode to vibe code a Python shooting game

For about a year now, I’ve been teaching a lot on GitHub Copilot as part of my Microsoft role. Our program offers 2 different learning paths, one created by the Microsoft Content developers, AZ-2007, and the other one is managed by GitHub Content team, known as GH-300. If you know my approach to teaching tech a bit, which a learner in my class lately called inspiring through technology, it means I’m trying to explain as much as possible through compelling, live demos.

Generate Azure JWT Token in Copilot Studio

Out of my role as a Lead Technical Trainer at Microsoft, the portfolio of trainings I’m covering has heavily shifted to Azure AI and Copilot over the last few months. Still doing Azure Architecture and Developing courses as well, but not as frequent anymore. This confirms the interest we see at customers in adopting Generative AI solutions. Apart from Copilot in M365, or using Azure AI Foundry, I also started digging into Copilot Studio a lot more.

Using GitHub Copilot Agent Mode to transform ARM templates to BICEP

Over the last few months, I’ve been working on an exciting project for our Microsoft Technical Trainer team, known as “Trainer-Demo-Deploy”, a catalog of Azure end-to-end demo scenarios, available as an Open-Source project. While we managed to get about 50 templates live, there can never be enough scenarios to integrate into your Azure classes or POC activities if you ask me. One of the challenging tasks in the project is not only coming up with demo ideas, but also creating the actual artifacts, such as Azure templates with Bicep, sample apps and sample data.

Innovation at Microsoft - Book Review

The Insider’s Guide to Innovation at Microsoft, written by Dean Carignan and JoAnn Garbin, and published by PostHillPress publishers, explores the innovation strategies and practices at Microsoft over the past 50 years. When I heard about this book, I ordered myself a copy during pre-order, and got excited from the day I got it in the mail. This was honestly one of the few books I read cover to finish in just a weekend.

Azure Spring Clean - Application Insights - Inside Out

Hey folks, Welcome to #AzureSpringClean, an initiative from Joe Carlyle and Thomas Thornton which celebrates its 4th edition this year. I’m thrilled to be part of this again for the 3nd time this year. My first article had security in mind, explaining the difference between Azure Service Principals and Managed Identity. My 2nd article focused on understand DevSecOps, and how you can optimize security in your application deployment lifecycle, by “shifting left”.

Book Review - Azure Cookbook

In this post, I want to share my review of my next technical book I read recently, Azure Cookbook this time from Massimo Bonammi and Marco Obinu published by BPB Online and available on Amazon as well as other e-book subscription platforms. I have the joy of calling both fine Italian gentlemen my friends and colleagues for a few years already. I bumped into Marco around 2017 when I was delivering an Azure Architect workshop for his employer.

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.

Building your first Blazor .NET8 app - MSTS Summit

Introduction I got invited to present on Blazor .NET8 as part of the [https://mstechsummit.pl/en/](MS Tech Summit Poland (MSTS Summit)), for which I’m very excited and honored. For most of my public speaking engagements, I try to focus on live demos, with only a minimum amount of slides, and this session is no different. To help my audience in reproducing the demos in their own time, I decided to write out the steps.