Microsoft Azure AI Services: Revolutionizing Intelligent Applications
An overview of Microsoft Azure's suite of AI services, including prebuilt APIs, machine learning, and cognitive tools for building intelligent applications.
Muhammad Zeeshan writes about Microsoft Azure, AI services, DataOps, and cloud security, sharing practical guides on building scalable and intelligent cloud solutions. His blog covers real-world Azure implementations and best practices.
9 articles from this blog
An overview of Microsoft Azure's suite of AI services, including prebuilt APIs, machine learning, and cognitive tools for building intelligent applications.
Explores how Azure services like Data Factory, Databricks, and Machine Learning enable DataOps for streamlined, automated data pipelines.
A technical guide on implementing geo-restriction for web applications using Azure Web Application Firewall (WAF) and Application Gateway.
A guide on using Azure Artifacts for managing, hosting, and sharing NuGet, npm, and Maven packages within Azure DevOps.
A step-by-step tutorial on creating a .NET Standard class library in Visual Studio, including basic calculator methods and preparation for NuGet publishing.
A technical tutorial on deploying a containerized Python web app to Azure App Service, covering App Service Plans, container settings, and API testing.
A technical tutorial on building a Docker image for a Python app, running it locally, and pushing it to Azure Container Registry.
A tutorial on creating an Azure Container Registry using the Azure Portal to deploy Docker images for a Python web app.
An overview of Azure DevOps, covering its core services, workflow, and a practical guide for setting up a CI/CD pipeline for .NET applications.