Introduction to Azure Bicep - Write and Deploy Your First Template
Learn Azure Bicep syntax by writing your first template to deploy a storage account with parameters, variables, and outputs using Azure CLI.

Lab overview
Azure Bicep is the next-generation Infrastructure as Code (IaC) language for deploying Azure resources. It provides a cleaner, more readable syntax compared to raw ARM JSON templates while compiling down to the same underlying deployment engine. In this hands-on lab, you will write your very first Bicep template from scratch to deploy an Azure Storage Account, learning core language constructs along the way.
You will start by creating a main.bicep file in the Code IDE, defining a storage account resource with typed parameters for location and SKU. You will use variables with string interpolation and the uniqueString() function to generate a globally unique storage account name. After adding outputs to expose the blob endpoint, you will use az bicep build to inspect the transpiled ARM JSON and then deploy your template using az deployment group create. By the end, you will have a working storage account deployed entirely through Bicep.
Objectives
Upon completing this beginner level lab, you will be able to:
- Understand Azure Bicep syntax and how it provides a cleaner alternative to ARM JSON templates
- Write a Bicep template that defines an Azure Storage Account resource with typed parameters
- Use variables with string interpolation and the
uniqueString()function for dynamic naming - Define outputs to expose resource properties after deployment
- Deploy the template using
az deployment group createfrom the Azure CLI - Use
az bicep buildto inspect the transpiled ARM JSON output
Who is this lab for?
This lab is designed for:
- Cloud engineers who are new to Infrastructure as Code on Azure and want a practical starting point
- IT professionals looking to learn Azure Bicep as a modern alternative to ARM JSON templates
- Developers interested in automating Azure resource deployments using a more concise and readable language
Verified against your live environment
An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed — not multiple choice, real-world proficiency.
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Related reading
Environment
Every lab includes
- Real environment, pre-credentialed
- Automated checks on every step
- Isolated sandbox, auto cleanup
- AI-recommended next steps
Lab curriculum
- 01
Logging into Azure CLI
- 02
Writing Your First Bicep Template with Parameters
1 automated check
- 03
Deploying Bicep Template and Verifying Storage Account
1 automated check
Skills validated
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