Microsoft for Startups’ Post

Just finished the course “Foundations of Azure Artificial Intelligence: Concepts, Capabilities, and Implementation” by Microsoft Learn! Check it out: https://lnkd.in/gm6jbZXJ #softwaredevelopment #artificialintelligence #microsoftazure.

Start your journey to deploying Azure AI Services on Docker containers today. Follow step-by-step instructions to set up your environment and deploy Azure AI Services. This one is my first blog on Medium! 🚀 I've put a lot of effort into this and would love your support and feedback for better contents. Check it out and let me know what you think! Your feedback means the world to me. 🙏 #FirstBlog #Medium #FeedbackWelcome" #AzureAI #dockercontainer #aiservices

🚀Join us today (11/16) at 1:30 PM PST for an engaging discussion on how to Optimize your Azure investment through FinOps! https://lnkd.in/gRZ5bHiv Discover how Microsoft's solutions can help to optimize your Azure resources and drive continuous improvement. Learn new strategies for running secure, reliable, and sustainable workloads in a cost-efficient manner and more 🌟 #FinOps #Optimization #Azure #msignite

#AzureDaily Discover the excitement of Microsoft Build enhanced with MVP insights! 👩💻🌐 Leaders share knowledge on trending tech topics, Azure, GitHub, and more. Engage, learn, and build your expertise with the brightest minds in the community. 🚀 #MicrosoftBuild #MVPBuzz #AzureCloudExpert

Optimizing ML Models in Production in the Cloud or at the Edge using Shadow Deployments. In this blog post, guest blogger Martin Bald, Senior Manager Developer Community from one of our startup partners Wallaroo.AI will continue to address model validation through the method of Shadow Deployments. Testing and experimentation are a critical part of the ML lifecycle. This is because the ability to quickly experiment and test new models in the real world helps data scientists to continually learn, innovate, and improve AI-driven decision processes.   Introduction In the first blog post in this series, we stepped through deploying a... #techcommunity #azure #microsoft https://lnkd.in/gPstTqJ7

I recently shared insights on the no-code approach to building a Retrieval-Augmented Generation (RAG) model in Azure AI. In a recent article, I highlighted the essential REST APIs needed to enable a RAG model in Microsoft Azure, enhancing its compatibility with external systems beyond the Azure environment.  #AzureAI #NoCodeApproach #RAGModel #RESTAPIs

💡 Have you already registered for #MicrosoftIgnite? ✅ Make sure you join this event to discover what's next in #Microsoft technology. Tons of cool announcements coming! I'm already registered. See you there! #MicrosoftFabric #PowerBI #Azure

If you are attending Microsoft Ignite 2023, don't forget to come and say Hello! I will be delivering three sessions and being an SME on another one! Don't forget to register! #AzureCentric #AzureCentricPodcast #Azure #DevSecOps #AzureSecurity #MVPBuzz #SecOps #MicrosoftSentinel #CloudSecurity

Today I earned my "𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐋𝐞𝐚𝐫𝐧 𝐂𝐥𝐨𝐮𝐝 𝐒𝐤𝐢𝐥𝐥𝐬 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐚𝐭 𝐁𝐮𝐢𝐥𝐝 2024" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own Microsoft Learn journey! Microsoft #generativeai #GENAI #azureai #ai #MSBuild #msbuild #mvpbuzz #mctbuzz #MVPBuzz

In case you missed the news, Microsoft announced Copilot for Azure two weeks ago at Ignite 2023. As everything within Coplit family, it introduces GenAI capabilities but now as part of Azure portal. On this first preview, Copilot focuses on Design, Operation, Management and Troubleshooting. Although the technology is new and it feels pretty green and I have my doubts on its performance at scale, I think there's potential to desmitify certain cloud myths. Definitely something to watch out as it has the potential to reshape several of the cloud related roles. I think we should all ask ourselves, where do we stand around GenAI? A thread or a tool? https://lnkd.in/dbQPxPXK