Terraform for DevOps: Azure Capstone + Generative AI https://WebToolTip.com Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 16m | Size: 2.64 GB
Terraform for Azure DevOps engineers: hands-on labs, a real Hub-Spoke capstone, and generative-AI-assisted workflows.
What you'll learn
Install, configure, and authenticate the Terraform Azure (azurerm) provider using a service principal
Write, plan, and apply Terraform configurations with confidence in what will change before it changes
Manage and migrate Terraform state safely, including remote backends and targeted operations
Eliminate hardcoding using variables, locals, and environment-specific .tfvars files
Use count, for_each, and conditionals to write dynamic, reusable infrastructure code
Complete a real capstone project: design and deploy a production-pattern Azure Hub-and-Spoke network, including Bastion and a router VM
Force spoke-to-hub traffic routing and validate a multi-network Azure deployment end to end
Use generative AI tools to write, debug, and document Terraform code faster — a workflow drawn from real enterprise GenAI/DevOps practice
Requirements
A computer with internet access (Windows, macOS, or Linux) — no local VM or special hardware needed
A free or pay-as-you-go Microsoft Azure account (a free-tier account is enough for every lecture and the capstone)
Basic comfort with using a terminal/command line — no prior Terraform experience required
No prior experience with generative AI tools needed — it's taught as part of the workflow, and you can use whichever assistant you like