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Microsoft MVP Program Blog
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MVP’s Favorite Content from Microsoft Azure MVPs

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RieMoriguchi
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May 09, 2025

MVP’s Favorite Content is back! In this special Global Azure edition, we’re excited to share recommended articles from four Azure MVPs from around the world.

In this blog series dedicated to Microsoft's technical articles, we'll highlight our MVPs' favorite article along with their personal insights.

 

Edesan Tomaz, Microsoft Azure MVP, Brazil

Azure Architecture Center - Azure Architecture Center | Microsoft Learn

“One of the Microsoft Learn contents I like to share is the Microsoft Architecture Centre. This portal has lots of information for architects who need ideas for their own environment. You can search for many architectures that can be used as a first step towards a fantastic environment.”

*Relevant Activity: In one of the videos in my series on reliability, I show the Microsoft Architecture Centre and the Azure Well-Architect Framework, two tools that can be very useful in your Cloud journey.

Desvendando o Azure | 11 | Confiabilidade - YouTube

 

Edward Kuo, Microsoft Azure MVP / Regional Director, Taiwan

What is Azure AI Foundry? - Azure AI Foundry | Microsoft Learn

Get started with AI for free using Phi-3 (Part 6 of 10) | Microsoft Learn

Run AI models on your local machine with Ollama (Part 5 of 10) | Microsoft Learn

Basic OpenAI End-to-End Chat Reference Architecture - Azure Architecture Center | Microsoft Learn

Plan and manage costs for Azure AI Foundry - Azure AI Foundry | Microsoft Learn

"In recent years, I have been involved in researching AI architectural directions within enterprises. While many people have differing opinions on whether to build AI solutions internally or adopt cloud services, I believe that hybrid architecture is the best approach based on my practical experience and technical capabilities in the enterprise setting. This is especially true in an era where AI models are changing rapidly. Without a solid AI application architecture, it is impossible for enterprises to generate profits."

*Relevant Blog:

- Strategic Considerations for Choosing Between Building Generative AI Application Architectures In-House or Using Azure Cloud Solutions | by Edward Kuo | EK.Technology Learn

- Data & AI – EK.Technology Learn

 

Habeeb Yakubu, Microsoft Azure MVP, Spain

Handle errors and exceptions in workflows - Azure Logic Apps | Microsoft Learn

"Azure Logic Apps are the go-to service for business automation today because they allow you to automate workflows without writing extensive code.. When dealing with real-world scenarios, errors are inevitable, whether it’s a network issue, an unavailable API, or a missing resource. This article covers practical approaches like configuring scopes for error handling, using retry policies, and implementing custom error workflows, ensuring your Logic Apps are reliable and resilient."

*Relevant Blog: Full tutorial: Handling Errors and Retries in Azure Logic Apps.

 

Konstantinos Passadis, Microsoft Azure MVP, Greece

Develop generative AI apps with Azure OpenAI and Semantic Kernel - Training | Microsoft Learn

“The Semantic Kernel Framework seamlessly integrates Azure AI with .NET technologies. My journey with Semantic Kernel began through this incredible Learning Path, which illuminated the future of AI with agents and showcased the simplicity of using the SDK to interact with Azure OpenAI across various scenarios and solutions. As someone who thrives on hands-on challenges, this path enabled me to fully harness the potential of Semantic Kernel and Generative AI. Ideas turned into actual implementations and i was impressed with the clear narrative of this Learning Path that helped me grow into the Azure AI development with Semantic Kernel. This Learning Path is in my top list because it opens the door for AI knowledge from theory to practice using the cutting-edge tools of the Enterprise!”

*Relevant Blog:

- AI powered Email Assistant: A detailed How to workshop - CloudBlogger@2025

- How to create an AI Smart Career Assistant - CloudBlogger@2025

 

 

Global Azure 2025 is currently taking place (from May 8 to 10). Find an event to attend near you: GlobalAzure 2025

Published May 09, 2025
Version 1.0

2 Comments

  • ruqzz's avatar
    ruqzz
    Copper Contributor

     KonstantinosPassadis​ 
    Hi! I'm an entry-level data scientist, and this sounds super fascinating! I’m just starting to explore AI tools, and I’d love to know—how does the Semantic Kernel help in integrating Azure AI with .NET? Also, could you share an example of one of the ideas you turned into an actual implementation? It’s inspiring to see how tools like this can bridge theory and practice!

    • Hello ruqzz​ ! Thank you for your message ! Semantic Kernel is a game changer since it is an SDK on its own, specifically built to orchestrate AI capabilities within .NET applications. SK acts as a bridge between Azure AI and .NET, making it easier for developers to integrate AI capabilities into their applications. It provides a structured way to interact with Azure AI services, including Azure OpenAI, Azure AI Search, and Azure Functions, allowing developers to build intelligent applications with minimal complexity. Look this blog post, of an end to end Project of mine to get a deeper view ! Feel free to contact me directy for more on this amazing framework and AI innovation! 🙂