Library / Artificial Intelligence

Terraform for DevOps: Azure Capstone + Generative AI

On Udemy

About this course

Most Terraform courses teach you syntax and leave you to figure out how it fits together in the real world. This one is built around a real capstone project: by the end, you will have designed and deployed a production-style Hub-and-Spoke network architecture on Microsoft Azure — the same pattern used in real enterprise landing zones. Every section builds toward it.

The course starts from absolute zero — no prior Terraform experience needed — and it's drawn from real production work, not assembled for the camera: the capstone is the same architecture pattern your instructor designed and automated for a real multi-region enterprise migration to Azure.

This course is Azure-only, on purpose. Most "multi-cloud" Terraform courses spend an hour on each provider and go deep on none of them. If your job runs on Azure, that breadth is wasted time. Everything here — the IP planning, the naming conventions, the Hub-and-Spoke design, the security constraints — is the exact shape of a real Azure enterprise environment, because it's drawn from one that shipped.

Generative AI is woven in throughout, not bolted on. This course teaches the skill, not a single tool — everything works whether your AI assistant of choice is ChatGPT, Gemini, Claude, or whatever you already use. Terraform mastery is the core of this course either way: the generative AI layer is something extra you gain, not something the course depends on.

Note: this is not a HashiCorp certification exam-prep course - there are no practice tests for the Terraform Associate exam here. If that's what you're after, look for a dedicated exam-prep course. This course is for building real, working infrastructure and understanding it deeply.

WHAT MAKES THIS COURSE DIFFERENT

  • Taught by a practicing architect, not a full-time instructor. The capstone comes from a shipped, real-world Hub-and-Spoke deployment

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