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Azure Tutorial

Learn Azure
From Cloud Basics

Learn Microsoft Azure cloud computing with practical lessons on Entra ID, virtual machines, App Service, storage, networking, databases, Functions, monitoring, security, and cost management.

15+
Topics
90+
Examples
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About Azure

Microsoft Azure is a cloud platform for hosting apps, managing enterprise identity, connecting hybrid networks, storing data, automating operations, and building governed cloud environments. This tutorial keeps the path practical by connecting Azure concepts to resource groups, subscriptions, RBAC, VNets, managed services, monitoring, and cost control.

Each lesson includes practical explanation, important design checks, examples, mistakes to avoid, and cleanup guidance. The path is written for learners who want enough detail to understand real cloud work, not only memorize service names.

Prerequisites

Basic web, networking, and command-line knowledge helps. No previous Azure project experience is required.

Audience

Students, backend developers, DevOps learners, cloud beginners, and engineers preparing for real projects.

What You'll Learn

Subscriptions, resource groups, Entra ID, RBAC, Virtual Machines, App Service, Storage, VNets, databases, Functions, containers, Azure Monitor, security, cost, and Bicep deployment.

Tools Needed

An Azure subscription, browser, Azure CLI, PowerShell optional, and a text editor for Bicep or YAML examples.

Learning Path

Start with the introduction and account setup, then move through identity, compute, storage, networking, data, serverless, containers, operations, security, cost, deployment, and architecture. That order mirrors how small cloud projects mature into production-ready systems.

Tutorial Topics
Why Learn Azure?
  • Build cloud-ready applications and infrastructure with services used in real production systems.
  • Understand identity, networking, compute, and storage before jumping into advanced architectures.
  • Learn practical cost and security habits that prevent common beginner mistakes.
  • Practice examples that can be verified with CLI commands and cleaned up after each lab.
  • Prepare for cloud projects, DevOps workflows, and certification learning paths.

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