I have solid hands-on experience building agentic AI and RAG systems, but I'm starting from zero with both Terraform and Azure. I've used AWS tutorials before, though that knowledge hasn't transferred very well.
I'm looking for a video-based, code-along course where I can type and build things rather than follow portal-click tutorials. Ideally, it would assume no prior Azure knowledge and focus specifically on Azure AI services such as Azure AI Foundry, AI Search, and Azure OpenAI. I also want infrastructure-as-code to be central, with Terraform provisioning the resources instead of creating everything manually in the portal and adding Python afterward.
Most resources I've found seem to fall into one of two categories: general Terraform training without an AI focus, or Azure AI tutorials that rely almost entirely on the portal. I'm open to taking two courses—one covering Azure and Terraform fundamentals and another focused on deploying AI workloads—if there isn't a strong course that combines both. I'd especially appreciate recommendations from people who have actually completed the material.
3 Answers
There’s a useful code-along series covering Terraform on Azure, including beginner and intermediate material. It focuses on writing the configuration rather than clicking through the portal. However, it assumes you already know the Azure basics, so it probably works best after an introductory Azure course. It isn’t specifically centered on Foundry, AI Search, or Azure OpenAI, but it could provide a solid Terraform foundation for those projects.
Start with the Azure platform fundamentals before going deep into Terraform or AI services. Even if your end goal is an agentic application, you’ll still need to understand how Azure handles identity, permissions, resource groups, regions, networking, quotas, and service dependencies. Once those concepts are familiar, a Terraform course and the Azure AI documentation will be much easier to follow than trying to learn everything through a single highly specialized course.
You may have better results by learning the Azure fundamentals and Terraform separately before trying to combine them with AI services. The core Azure resource model and Terraform workflow transfer across many services, so learning subscriptions, resource groups, identity, networking, state, providers, and modules will make the AI-specific parts much easier. You don’t need a course tailored to one exact AI stack to learn the infrastructure concepts you’ll use.
That sounds useful for the infrastructure side. I’m mainly trying to find a path that eventually leads to deploying AI and LLM applications on Azure, so I’ll probably need to pair it with separate Azure AI material.