HCL syntax, AWS resource provisioning, remote state with S3, modules for reusable infrastructure, and automating Terraform in CI/CD pipelines. The Terraform course for engineers who want to manage infrastructure like code — not click through cloud consoles.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on terraform you can find — even without producing a single minute of custom video.
This course is built by engineers who ship terraform systems in production. It reflects how these tools actually behave at scale.
Every day includes working code examples you can copy, run, and modify right now. Understanding comes through doing.
Instead of re-explaining existing documentation, this course links to the definitive open-source implementations and the best reference material on terraform available.
Each day is designed for about an hour of focused reading plus hands-on work. Do the whole course over a week of lunch breaks. No live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
HCL syntax (resources, variables, outputs, locals), the init/plan/apply/destroy workflow, the Terraform state file and why it matters, providers and the Terraform registry, and setting up AWS credentials.
Provisioning a complete 3-tier architecture — VPC with public/private subnets, security groups, EC2 instances with user-data, RDS with parameter groups, and the depends_on behavior that controls resource creation order.
Input variables with validation, variable files (.tfvars), sensitive variables, outputs for cross-stack references, data sources for querying existing infrastructure, and the local values pattern that reduces repetition.
Module structure (variables.tf, main.tf, outputs.tf), calling modules from the Terraform registry, writing your own modules for common patterns (VPC, ECS service), module versioning, and the mono-repo vs multi-repo module organization debate.
S3 backend with DynamoDB locking for team collaboration, Terraform workspaces for environments, GitHub Actions workflow for terraform plan on PR and apply on merge, and Atlantis for PR-based Terraform automation.
Instead of shooting our own videos, we link to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Complete Terraform courses — HCL syntax, AWS resources, state management, and the core terraform workflow.
Writing reusable Terraform modules, calling modules from the registry, and the module patterns that structure large infrastructure codebases.
VPC, subnets, security groups, and routing with Terraform — the networking foundation every AWS infrastructure deployment needs.
Automating terraform plan and apply in GitHub Actions — the PR workflow that makes infrastructure changes reviewable before they're deployed.
S3 backend configuration, DynamoDB state locking, and workspace patterns for managing multiple environments.
The best way to deepen understanding is to read the canonical open-source implementations. Clone them, trace the code, understand how the concepts in this course get applied in production.
The Terraform source. The /internal/command directory shows how plan, apply, and state operations work under the hood.
The most-used community Terraform modules for AWS — VPC, EKS, RDS, EC2. Read the source to understand production-grade AWS infrastructure patterns.
Pull request automation for Terraform — runs plan on PR open and apply on merge. The standard for collaborative Terraform workflows.
Terraform wrapper that adds DRY configurations, remote state management, and before/after hooks. Used by teams managing hundreds of Terraform modules.
Terraform is the standard IaC tool. This course covers the production Terraform patterns — remote state, modules, CI/CD — not just syntax tutorials.
Clicking through AWS console doesn't scale. This course gives developers the Terraform skills to manage their own infrastructure as code.
Terraform's HCL is more readable and its provider ecosystem is broader than CloudFormation or CDK. This course shows you the migration path.
The 2-day in-person Precision AI Academy bootcamp covers cloud infrastructure and DevOps in depth — hands-on, with practitioners who build AI systems for a living. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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