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AZURE DEVOPS PATH

Azure DevOps Engineering

Move from Azure fundamentals into Git, Azure Repos, CI/CD pipelines, release workflows, Terraform, containers and practical DevOps delivery.

Learning outcomes

What this path is designed to teach.

01

Automate delivery

Design a repeatable path from source code to Azure deployment.

02

Manage infrastructure as code

Understand how Terraform can make cloud provisioning repeatable.

03

Operate delivery pipelines

Read logs, diagnose failures and improve deployment reliability.

Course architecture

Module-by-module structure.

The curriculum follows a progressive path from concepts to guided labs and integrated project work.

01 · Azure DevOps FoundationsCore
  • Azure DevOps organisation and project concepts
  • Boards, work items and team workflows
  • Repositories and project structure
02 · Git & Source ControlCore
  • Commits, branches, merges and pull requests
  • Branching strategies and policies
  • Repository permissions and collaboration
03 · CI/CD with Azure PipelinesCore
  • YAML pipeline structure and variables
  • Build, test and artifact workflows
  • Deployment stages and environment concepts
04 · Release & DeploymentCore
  • Deployment strategies and approvals
  • Configuration and secrets concepts
  • Environment-specific release controls
05 · Infrastructure as CodeAdvanced
  • Terraform workflow and state concepts
  • Reusable variables and modules
  • Provisioning Azure resources through code
06 · Containers & KubernetesAdvanced
  • Docker image and container concepts
  • Kubernetes architecture and workloads
  • Deploying and exposing containerised applications
07 · Monitoring & DevOps ProjectCapstone
  • Connect deployment with monitoring
  • Trace failures across pipeline and runtime
  • Complete an end-to-end delivery scenario
Project application

Turn modules into one connected build.

End-to-end delivery project

Create a source-to-deployment workflow with Git, YAML pipelines, infrastructure automation and environment controls.

Failure & recovery lab

Break a pipeline or deployment intentionally, investigate logs and restore a working delivery path.

Next step

Ask for the current batch plan.

Batch date, timing, fees and duration are kept as live academy information rather than invented numbers.

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