Why Infrastructure as Code (IaC) Has Become the Standard, and How the "Terraform and IaC" Course on Asibiont Will Help You Enter the Profession
If you work with clouds or administer servers, you've already noticed: manual infrastructure management is a thing of the past. According to HashiCorp's annual State of Cloud Strategy Survey (2025), over 80% of organizations have adopted Infrastructure as Code (IaC) practices for at least part of their infrastructure. And the leading tool remains Terraform — it is used by 78% of teams that automate resource deployment in AWS, Azure, GCP, and other clouds.
But it's one thing to read the documentation, and quite another to learn to write configurations, manage state, create modules, and implement best practices. That's exactly why we designed the "Terraform and IaC" course on the Asibiont platform. We don't just paraphrase the official HashiCorp Language (HCL) — we teach you to think in terms of infrastructure as code, see patterns, and avoid common mistakes.
Who This Course Is For
The course is designed for a wide audience, but we've identified three key groups:
- DevOps engineers and system administrators who want to systematize their IaC knowledge and master advanced techniques (policy as code, drift detection, working with Atlantis).
- Developers who are transitioning to DevOps or want to automate the deployment of their projects (e.g., via GitOps pipelines).
- Solution architects who need to design multi-cloud infrastructure with unified management.
Important note: we don't require experience with Terraform. We'll start with the basics of HCL, and cover complex topics (Terratest, tfsec, Checkov, Terraform Cloud) as we progress. If you're already familiar with the basics, the platform's AI assistant will adapt the program — you'll skip the basic lessons and go straight to modules, state management, and working with multiple clouds.
What You Will Learn in the Terraform and IaC Course
We've divided the program into several blocks, each ending with a practical assignment. Here's what you'll master:
1. HCL and Terraform Basics
Learn to write configurations for AWS, GCP, and Azure from scratch. Understand the difference between a resource and a data source, how providers work, and why the versions.tf file is needed.
Real code example:
resource "aws_instance" "web" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = "t2.micro"
vpc_security_group_ids = [aws_security_group.web.id]
tags = {
Name = "web-server"
}
}
We'll go through such examples at every step, and the AI will tailor them to your real cloud accounts (if you connect your credentials).
2. State Management — The Heart of Terraform
Many beginners make the same mistake: they lose the terraform.tfstate file and then can't synchronize the infrastructure. You'll learn how to store state in remote backends (S3, Terraform Cloud, Azure Storage), how to use state locking, and how to recover from failures.
3. Modules and Code Reuse
We'll teach you to create your own modules, publish them in the Terraform Registry (HashiCorp publishes over 20,000 modules on registry.terraform.io), and use ready-made solutions.
4. Security and Compliance Through Code
You'll get to know static configuration analysis tools: tfsec (vulnerability checking) and Checkov (scanning for compliance with CIS, SOC2, PCI DSS standards). We'll also cover policy as code via Sentinel or OPA (the course includes work with Terraform Cloud).
5. Infrastructure Testing with Terratest
Terratest from Gruntwork allows you to write Go tests for your Terraform modules. You'll learn to verify that after terraform apply, the correct number of resources are created, that Security Groups are only open to the right ports, and that S3 buckets are not public.
6. PR Review Automation with Atlantis
Atlantis is a tool that runs terraform plan in comments to Pull Requests on GitHub/GitLab. You'll set it up in your project and learn to issue commands via comments without logging into the console.
7. Multi-cloud and Pulumi
At the end of the course, we go beyond a single provider: you'll learn to manage resources in two or three clouds simultaneously using Terraform, and then get acquainted with Pulumi — an alternative that uses real programming languages (TypeScript, Python, Go). We'll show you how to migrate from Terraform to Pulumi and when it makes sense.
How Learning Works on Asibiont: AI-Generated Personalized Lessons
Our platform Asibiont uses a neural network that creates educational materials tailored to each student. These are not recorded lectures or static PDFs — they are live text lessons that change based on your progress.
Here's how it works:
- Initial interview — you specify your level (beginner, confident with basics, experienced engineer), goals (I want to automate AWS infrastructure, preparing for an interview, need for GCP work), and cloud preferences.
- AI generates the first lesson — the neural network writes explanations, picks code examples, creates exercises. For example, if you are a beginner, the lesson will include step-by-step instructions for installing Terraform and deploying your first EC2 instance. If you already have experience, AI will immediately move to state management and modules.
- Dynamic adaptation — each time you complete an assignment, AI analyzes your responses and adjusts the next lesson. If you misunderstood
terraform workspace, AI will offer additional explanation and an exercise on that specific topic. - Practice in a real environment — assignments are performed in your cloud console (or in Terraform Cloud), we don't isolate you from real work. You configure providers, create resources, and see the results.
Why AI Learning Is More Effective Than Traditional Courses
Traditional online courses with video lessons are passive information consumption. You watch, repeat, but often cannot answer the question 'what if I do it differently?'. AI learning on Asibiont solves this problem:
- Personalization to your pace — the neural network does not switch topics until you confirm you've understood the material (via a practical assignment). You won't fall behind or get bored.
- Explanations in plain language — AI can rephrase complex concepts. If you don't understand what a terraform graph is, it will find an analogy (e.g., 'imagine it's a map of your infrastructure dependencies').
- Flexible schedule 24/7 — you learn at any time, without being tied to webinars or deadlines. Lessons are available in text format, you can reread and revisit them.
- No fluff — AI does not include unnecessary historical background or ads for outdated tools. Only current information, based on the latest Terraform versions (as of July 2026, version 1.10 is current, released in March 2026).
Practical Cases from the Course
To give you a better idea of what the learning looks like, here are a few examples of assignments we give on the course:
Case 1: Infrastructure Drift
You deployed a web farm of 5 EC2 instances via Terraform. An hour later, someone manually deleted one instance from the AWS console. You need to detect the drift (via terraform plan), then restore the desired state. We'll teach you to set up automatic drift detection with Terraform Cloud or OPA.
Case 2: S3 Bucket Security
You accidentally made a bucket public in code. Checkov blocks apply at the CI stage. You fix the configuration, add an acl block, and check with tfsec. In the course, we go through how to set up such policies in a pipeline.
Case 3: Multi-cloud with Terraform
You are designing an architecture where part of the resources are in AWS (compute) and part in GCP (BigQuery). You write a single config with two providers and learn to manage dependencies between clouds.
What Students Say
We don't publish fake testimonials, but we can share real feedback from one of the first students (with his permission):
"Before the course, I was afraid of state management — I kept losing files. AI selected lessons specifically on this topic, and within a week I set up remote state in S3 with DynamoDB for locking. Now at work I've been put in charge of migrating the entire infrastructure to Terraform." — Alexander, DevOps engineer.
Conclusion: Start Managing Infrastructure as Code Today
The cloud world is changing fast — what was done manually yesterday is now automated with a single terraform apply command. The Terraform and IaC course on Asibiont is not just a program, but your personal AI mentor that will guide you from the first Terraform installation to multi-cloud architecture with policy as code.
Don't put it off: sign up for the course today and start receiving personalized lessons right now. All materials are available 24/7, you learn at your own pace, and the neural network helps you understand even the most complex topics.
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