VTechStorms
  • Duration

    12 Weeks

  • Lectures

    60+ Sessions

  • Projects

    8 Hands-on Projects

  • Skill Level

    Beginner to Advanced

  • Language

    English

  • Certificate

    Yes, upon completion

Lead Instructor

Neha Sharma

Microsoft Certified DevOps Engineer

Neha has over 9 years of experience in cloud infrastructure and DevOps practices. She holds multiple Microsoft certifications and has helped numerous organizations implement DevOps transformations on Azure. She specializes in infrastructure automation, CI/CD pipelines, and containerization.

Prerequisites

  • Basic understanding of Azure services
  • Familiarity with Windows and Linux command line
  • Basic programming or scripting knowledge
  • Understanding of networking concepts
  • Experience with version control systems (Git)

Course Description

Our Azure DevOps course is designed to transform you into a skilled DevOps engineer capable of implementing continuous integration, continuous delivery, and infrastructure automation on the Microsoft Azure cloud platform.

This comprehensive program covers the entire DevOps lifecycle on Azure, from infrastructure as code with ARM templates and Terraform to CI/CD pipelines with Azure DevOps Services. You'll learn to design, deploy, and manage scalable, highly available, and fault-tolerant systems on Azure while implementing security best practices.

With the increasing adoption of cloud technologies and DevOps practices, skilled Azure DevOps engineers are in high demand across industries. This course will equip you with the practical skills needed to excel in this dynamic field and help organizations accelerate their software delivery while maintaining reliability and security.

Azure Certification Preparation

Aligned with Azure DevOps Engineer exam

Hands-on Labs

Real-world projects on Azure platform

Infrastructure as Code

Master ARM templates and Terraform

CI/CD Pipeline Automation

Build end-to-end deployment pipelines

Course Objectives

  • Understand DevOps principles and practices in the context of Azure
  • Design and implement infrastructure as code using ARM templates and Terraform
  • Build CI/CD pipelines with Azure DevOps Services
  • Implement containerization with Docker and orchestration with AKS
  • Configure monitoring, logging, and alerting with Azure Monitor
  • Implement security best practices for Azure DevOps workflows
  • Design highly available, fault-tolerant, and self-healing systems
  • Optimize Azure resources for performance and cost efficiency
  • Implement automated testing in CI/CD pipelines
  • Prepare for the Microsoft Certified: DevOps Engineer Expert exam

Course Objectives

Module 1: DevOps Fundamentals and Azure Overview
  • Introduction to DevOps principles and practices
  • DevOps culture, methodologies, and benefits
  • Azure global infrastructure and regions
  • Azure core services overview
  • Azure Active Directory and RBAC
  • Azure CLI and PowerShell setup and configuration
  • Azure best practices and Well-Architected Framework
  • Setting up a DevOps-friendly Azure environment
  • Azure cost management and optimization
  • Lab: Setting up a secure Azure environment for DevOps
  • Introduction to Infrastructure as Code (IaC)
  • Azure Resource Manager (ARM) fundamentals
  • ARM templates and JSON syntax
  • ARM template resources, parameters, and outputs
  • ARM template variables, functions, and expressions
  • Nested and linked templates
  • ARM template deployment modes and scopes
  • ARM template best practices and security
  • ARM template deployment with Azure DevOps
  • Lab: Building a multi-tier architecture with ARM templates
  • Introduction to Terraform
  • Terraform configuration language
  • Terraform providers and Azure provider configuration
  • Terraform resources, variables, and outputs
  • Terraform state management
  • Terraform modules and reusable components
  • Remote state storage with Azure Storage
  • Terraform workspaces and environments
  • Comparing ARM templates and Terraform
  • Lab: Building Azure infrastructure with Terraform
  • Git fundamentals and best practices
  • Azure Repos overview and setup
  • Repository management and organization
  • Branching strategies and workflows
  • Pull requests and code reviews
  • Branch policies and protection
  • Git hooks and automation
  • Integrating with GitHub and other Git providers
  • Security and access control in Azure Repos
  • Lab: Setting up a Git workflow with Azure Repos
  • Continuous Integration principles and practices
  • Azure Pipelines overview and components
  • YAML pipeline configuration
  • Build agents and agent pools
  • Build environments and container jobs
  • Artifact management with Azure Artifacts
  • Pipeline triggers and schedules
  • Implementing automated testing in CI
  • Security scanning and code quality checks
  • Lab: Setting up a CI pipeline with Azure Pipelines
  • Continuous Delivery vs. Continuous Deployment
  • Release pipelines and environments
  • Deployment strategies (rolling, blue-green, canary)
  • Deployment gates and approvals
  • Environment-specific configurations
  • Variable groups and secrets management
  • Deployment to Azure App Service, Functions, and VMs
  • Pipeline templates and reusable components
  • Multi-stage pipelines and environments
  • Lab: Building a complete CI/CD pipeline
  • Docker fundamentals and containerization
  • Building and managing Docker images
  • Azure Container Registry (ACR)
  • Azure Kubernetes Service (AKS) fundamentals
  • AKS cluster deployment and configuration
  • Kubernetes manifests and Helm charts
  • Azure Container Instances (ACI)
  • Container security and best practices
  • CI/CD for containerized applications
  • Lab: Deploying containerized applications on Azure
  • Azure Monitor and Application Insights
  • Log Analytics and Kusto Query Language (KQL)
  • Alerts, dashboards, and visualizations
  • Azure Test Plans and test management
  • Load and performance testing
  • Azure Security Center and security best practices
  • Azure Key Vault for secrets management
  • Compliance and governance with Azure Policy
  • DevSecOps practices and implementation
  • Capstone Project: Building a secure DevOps pipeline on Azure

Projects You'll Build

Multi-Tier Web Application

Build a scalable, highly available web application infrastructure with auto-scaling, load balancing, and database replication using ARM templates.

CI/CD Pipeline

Create an end-to-end CI/CD pipeline with Azure DevOps for automated testing and deployment of applications to multiple environments.

Containerized Microservices

Deploy a microservices architecture using Docker containers, AKS, and implement service discovery and API Management.

Security Automation

Implement automated security scanning, compliance checking, and remediation in a DevOps workflow using Azure security services.

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