Course structure available

Stage 07 · Infrastructure & Configuration

Terraform Complete Course

Master declarative infrastructure as code from HCL and state through reusable modules, testing, CI/CD, policy, HCP Terraform, multi-cloud architecture, and safe production change.

Browse curriculum View all chapters

40chapters

200lessons

Intermediatestarting level

Hands-onlearning mode

Course stateCurriculum ready

Course brief

A complete Terraform curriculum centered on predictable state, reusable infrastructure design, and safe automation at organizational scale.

This course is organized as a progressive operational curriculum. Lesson files are reserved in the repository structure so future content can be added without changing URLs or navigation.

By the end

You will be able to

Model infrastructure declaratively with HCL, providers, resources, and data sources
Understand Terraform state, dependency graphs, planning, drift, and refactoring
Design reusable modules and environment strategies for large teams
Test, secure, govern, and automate Terraform through CI/CD and policy
Operate Terraform across cloud, Kubernetes, and HCP Terraform environments

Complete syllabus

40 chapters in prerequisite order.

The structure goes beyond a command reference and includes architecture, security, reliability, troubleshooting, automation, governance, and production operations.

Chapter 1

Infrastructure as Code and Terraform Foundations

5 lessons

Infrastructure as Code and Terraform Foundations: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Infrastructure as Code and Terraform Foundations: Guided Configuration and Hands-On WorkflowReserved in course structure

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Infrastructure as Code and Terraform Foundations: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Infrastructure as Code and Terraform Foundations: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Infrastructure as Code and Terraform FoundationsReserved in course structure

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Chapter 2

Installing Terraform, CLI Workflow, Configuration Files, and Project Layout

5 lessons

Installing Terraform, CLI Workflow, Configuration Files, and Project Layout: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Installing Terraform, CLI Workflow, Configuration Files, and Project Layout: Guided Configuration and Hands-On WorkflowReserved in course structure

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Installing Terraform, CLI Workflow, Configuration Files, and Project Layout: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Installing Terraform, CLI Workflow, Configuration Files, and Project Layout: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Installing Terraform, CLI Workflow, Configuration Files, and Project LayoutReserved in course structure

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Chapter 3

HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style

5 lessons

HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style: Concepts, Vocabulary, and Mental ModelReserved in course structure

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HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style: Guided Configuration and Hands-On WorkflowReserved in course structure

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HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — HCL Syntax, Blocks, Arguments, Attributes, Comments, and StyleReserved in course structure

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Chapter 4

Providers, Resources, Data Sources, and the Provider Registry

5 lessons

Providers, Resources, Data Sources, and the Provider Registry: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Providers, Resources, Data Sources, and the Provider Registry: Guided Configuration and Hands-On WorkflowReserved in course structure

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Providers, Resources, Data Sources, and the Provider Registry: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Providers, Resources, Data Sources, and the Provider Registry: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Providers, Resources, Data Sources, and the Provider RegistryReserved in course structure

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Chapter 5

Input Variables, Local Values, Outputs, and Configuration Interfaces

5 lessons

Input Variables, Local Values, Outputs, and Configuration Interfaces: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Input Variables, Local Values, Outputs, and Configuration Interfaces: Guided Configuration and Hands-On WorkflowReserved in course structure

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Input Variables, Local Values, Outputs, and Configuration Interfaces: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Input Variables, Local Values, Outputs, and Configuration Interfaces: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Input Variables, Local Values, Outputs, and Configuration InterfacesReserved in course structure

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Chapter 6

Types, Collections, Expressions, Functions, and String Templates

5 lessons

Types, Collections, Expressions, Functions, and String Templates: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Types, Collections, Expressions, Functions, and String Templates: Guided Configuration and Hands-On WorkflowReserved in course structure

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Types, Collections, Expressions, Functions, and String Templates: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Types, Collections, Expressions, Functions, and String Templates: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Types, Collections, Expressions, Functions, and String TemplatesReserved in course structure

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Chapter 7

References, Implicit Dependencies, depends_on, and the Resource Graph

5 lessons

References, Implicit Dependencies, depends_on, and the Resource Graph: Concepts, Vocabulary, and Mental ModelReserved in course structure

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References, Implicit Dependencies, depends_on, and the Resource Graph: Guided Configuration and Hands-On WorkflowReserved in course structure

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References, Implicit Dependencies, depends_on, and the Resource Graph: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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References, Implicit Dependencies, depends_on, and the Resource Graph: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — References, Implicit Dependencies, depends_on, and the Resource GraphReserved in course structure

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Chapter 8

count, for_each, Dynamic Blocks, and Conditional Resource Construction

5 lessons

count, for_each, Dynamic Blocks, and Conditional Resource Construction: Concepts, Vocabulary, and Mental ModelReserved in course structure

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count, for_each, Dynamic Blocks, and Conditional Resource Construction: Guided Configuration and Hands-On WorkflowReserved in course structure

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count, for_each, Dynamic Blocks, and Conditional Resource Construction: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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count, for_each, Dynamic Blocks, and Conditional Resource Construction: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — count, for_each, Dynamic Blocks, and Conditional Resource ConstructionReserved in course structure

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Chapter 9

Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by

5 lessons

Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by: Guided Configuration and Hands-On WorkflowReserved in course structure

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Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_byReserved in course structure

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Chapter 10

Terraform State Internals, Resource Addresses, Instances, and State Identity

5 lessons

Terraform State Internals, Resource Addresses, Instances, and State Identity: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform State Internals, Resource Addresses, Instances, and State Identity: Guided Configuration and Hands-On WorkflowReserved in course structure

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Terraform State Internals, Resource Addresses, Instances, and State Identity: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Terraform State Internals, Resource Addresses, Instances, and State Identity: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Terraform State Internals, Resource Addresses, Instances, and State IdentityReserved in course structure

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Chapter 11

Local and Remote Backends, State Locking, Encryption, and Collaboration

5 lessons

Local and Remote Backends, State Locking, Encryption, and Collaboration: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Local and Remote Backends, State Locking, Encryption, and Collaboration: Guided Configuration and Hands-On WorkflowReserved in course structure

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Local and Remote Backends, State Locking, Encryption, and Collaboration: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Local and Remote Backends, State Locking, Encryption, and Collaboration: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Local and Remote Backends, State Locking, Encryption, and CollaborationReserved in course structure

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Chapter 12

Importing Existing Infrastructure and Import Blocks

5 lessons

Importing Existing Infrastructure and Import Blocks: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Importing Existing Infrastructure and Import Blocks: Guided Configuration and Hands-On WorkflowReserved in course structure

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Importing Existing Infrastructure and Import Blocks: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Importing Existing Infrastructure and Import Blocks: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Importing Existing Infrastructure and Import BlocksReserved in course structure

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Chapter 13

Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution

5 lessons

Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution: Guided Configuration and Hands-On WorkflowReserved in course structure

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Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Moved, Removed, and Refactoring Blocks for Safe Infrastructure EvolutionReserved in course structure

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Chapter 14

Module Fundamentals, Inputs, Outputs, Sources, and Composition

5 lessons

Module Fundamentals, Inputs, Outputs, Sources, and Composition: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Module Fundamentals, Inputs, Outputs, Sources, and Composition: Guided Configuration and Hands-On WorkflowReserved in course structure

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Module Fundamentals, Inputs, Outputs, Sources, and Composition: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Module Fundamentals, Inputs, Outputs, Sources, and Composition: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Module Fundamentals, Inputs, Outputs, Sources, and CompositionReserved in course structure

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Chapter 15

Module Architecture, Versioning, Registries, and Reuse Boundaries

5 lessons

Module Architecture, Versioning, Registries, and Reuse Boundaries: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Module Architecture, Versioning, Registries, and Reuse Boundaries: Guided Configuration and Hands-On WorkflowReserved in course structure

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Module Architecture, Versioning, Registries, and Reuse Boundaries: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Module Architecture, Versioning, Registries, and Reuse Boundaries: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Module Architecture, Versioning, Registries, and Reuse BoundariesReserved in course structure

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Chapter 16

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns

5 lessons

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Provider Configuration, Aliases, Inheritance, and Multi-Region PatternsReserved in course structure

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Chapter 17

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs

5 lessons

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Workspaces, Environment Separation, Directory Strategies, and Trade-OffsReserved in course structure

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Chapter 18

Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans

5 lessons

Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans: Guided Configuration and Hands-On WorkflowReserved in course structure

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Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Plan, Apply, Destroy, Targeting, Replacement, and Saved PlansReserved in course structure

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Chapter 19

Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes

5 lessons

Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band ChangesReserved in course structure

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Chapter 20

State Inspection, mv, rm, pull, push, and Controlled State Surgery

5 lessons

State Inspection, mv, rm, pull, push, and Controlled State Surgery: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

State Inspection, mv, rm, pull, push, and Controlled State Surgery: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

State Inspection, mv, rm, pull, push, and Controlled State Surgery: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

State Inspection, mv, rm, pull, push, and Controlled State Surgery: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — State Inspection, mv, rm, pull, push, and Controlled State SurgeryReserved in course structure

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Chapter 21

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests

5 lessons

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Terraform Test, Test Files, Assertions, Mocking, and Integration TestsReserved in course structure

Planned

Chapter 22

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality

5 lessons

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — fmt, validate, Linting, Documentation, Pre-Commit, and Code QualityReserved in course structure

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Chapter 23

Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks

5 lessons

Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks: Guided Configuration and Hands-On WorkflowReserved in course structure

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Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch RisksReserved in course structure

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Chapter 24

Sensitive, Ephemeral, and Secret Data Handling

5 lessons

Sensitive, Ephemeral, and Secret Data Handling: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Sensitive, Ephemeral, and Secret Data Handling: Guided Configuration and Hands-On WorkflowReserved in course structure

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Sensitive, Ephemeral, and Secret Data Handling: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Sensitive, Ephemeral, and Secret Data Handling: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Sensitive, Ephemeral, and Secret Data HandlingReserved in course structure

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Chapter 25

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication

5 lessons

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Cloud Credentials, Workload Identity, OIDC, and Short-Lived AuthenticationReserved in course structure

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Chapter 26

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security

5 lessons

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain SecurityReserved in course structure

Planned

Chapter 27

Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails

5 lessons

Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Policy as Code with Sentinel, OPA Concepts, and Organizational GuardrailsReserved in course structure

Planned

Chapter 28

Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency

5 lessons

Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

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Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and ConcurrencyReserved in course structure

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Chapter 29

GitHub Actions and GitLab CI Patterns for Terraform Automation

5 lessons

GitHub Actions and GitLab CI Patterns for Terraform Automation: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

GitHub Actions and GitLab CI Patterns for Terraform Automation: Guided Configuration and Hands-On WorkflowReserved in course structure

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GitHub Actions and GitLab CI Patterns for Terraform Automation: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

GitHub Actions and GitLab CI Patterns for Terraform Automation: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — GitHub Actions and GitLab CI Patterns for Terraform AutomationReserved in course structure

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Chapter 30

HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs

5 lessons

HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs: Concepts, Vocabulary, and Mental ModelReserved in course structure

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HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — HCP Terraform Foundations: Organizations, Projects, Workspaces, and RunsReserved in course structure

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Chapter 31

HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks

5 lessons

HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks: Concepts, Vocabulary, and Mental ModelReserved in course structure

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HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run TasksReserved in course structure

Planned

Chapter 32

HCP Terraform Agents, Private Networking, Remote Execution, and Governance

5 lessons

HCP Terraform Agents, Private Networking, Remote Execution, and Governance: Concepts, Vocabulary, and Mental ModelReserved in course structure

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HCP Terraform Agents, Private Networking, Remote Execution, and Governance: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

HCP Terraform Agents, Private Networking, Remote Execution, and Governance: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

HCP Terraform Agents, Private Networking, Remote Execution, and Governance: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — HCP Terraform Agents, Private Networking, Remote Execution, and GovernanceReserved in course structure

Planned

Chapter 33

Terraform Stacks, Deployment Concepts, and Modern Composition Workflows

5 lessons

Terraform Stacks, Deployment Concepts, and Modern Composition Workflows: Concepts, Vocabulary, and Mental ModelReserved in course structure

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Terraform Stacks, Deployment Concepts, and Modern Composition Workflows: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform Stacks, Deployment Concepts, and Modern Composition Workflows: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Terraform Stacks, Deployment Concepts, and Modern Composition Workflows: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Terraform Stacks, Deployment Concepts, and Modern Composition WorkflowsReserved in course structure

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Chapter 34

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps

5 lessons

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

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Checkpoint Lab — Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency TrapsReserved in course structure

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Chapter 35

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns

5 lessons

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Terraform on AWS: Account, Network, Compute, IAM, and Module PatternsReserved in course structure

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Chapter 36

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns

5 lessons

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module PatternsReserved in course structure

Planned

Chapter 37

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns

5 lessons

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module PatternsReserved in course structure

Planned

Chapter 38

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries

5 lessons

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Multi-Cloud and Multi-Account Architecture, Landing Zones, and BoundariesReserved in course structure

Planned

Chapter 39

Performance, Large States, Parallelism, Provider Behavior, and Scaling

5 lessons

Performance, Large States, Parallelism, Provider Behavior, and Scaling: Concepts, Vocabulary, and Mental ModelReserved in course structure

Planned

Performance, Large States, Parallelism, Provider Behavior, and Scaling: Guided Configuration and Hands-On WorkflowReserved in course structure

Planned

Performance, Large States, Parallelism, Provider Behavior, and Scaling: Design Patterns, Trade-Offs, and Production DecisionsReserved in course structure

Planned

Performance, Large States, Parallelism, Provider Behavior, and Scaling: Security, Diagnostics, Failure Modes, and TroubleshootingReserved in course structure

Planned

Checkpoint Lab — Performance, Large States, Parallelism, Provider Behavior, and ScalingReserved in course structure

Planned

Chapter 40

Upgrades, Provider Migrations, Compatibility, OpenTofu Awareness, and Production Capstone

5 lessons

Capstone Requirements, Architecture, and Success CriteriaReserved in course structure

Planned

Build the End-to-End Upgrades, Provider Migrations, Compatibility, OpenTofu Awareness, and Production Capstone EnvironmentReserved in course structure

Planned

Inject Failures, Diagnose Behavior, and Recover SafelyReserved in course structure

Planned

Security, Governance, Observability, and Operational Readiness ReviewReserved in course structure

Planned

Final Validation, Runbook, Handoff, and Improvement BacklogReserved in course structure

Planned

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Terraform Complete Course

A complete Terraform curriculum centered on predictable state, reusable infrastructure design, and safe automation at organizational scale.

You will be able to

40 chapters in prerequisite order.

Infrastructure as Code and Terraform Foundations

Installing Terraform, CLI Workflow, Configuration Files, and Project Layout

HCL Syntax, Blocks, Arguments, Attributes, Comments, and Style

Providers, Resources, Data Sources, and the Provider Registry

Input Variables, Local Values, Outputs, and Configuration Interfaces

Types, Collections, Expressions, Functions, and String Templates

References, Implicit Dependencies, depends_on, and the Resource Graph

count, for_each, Dynamic Blocks, and Conditional Resource Construction

Resource Lifecycle, create_before_destroy, prevent_destroy, and replace_triggered_by

Terraform State Internals, Resource Addresses, Instances, and State Identity

Local and Remote Backends, State Locking, Encryption, and Collaboration

Importing Existing Infrastructure and Import Blocks

Moved, Removed, and Refactoring Blocks for Safe Infrastructure Evolution

Module Fundamentals, Inputs, Outputs, Sources, and Composition

Module Architecture, Versioning, Registries, and Reuse Boundaries

Provider Configuration, Aliases, Inheritance, and Multi-Region Patterns

Workspaces, Environment Separation, Directory Strategies, and Trade-Offs

Plan, Apply, Destroy, Targeting, Replacement, and Saved Plans

Drift Detection, Refresh-Only Plans, Reconciliation, and Out-of-Band Changes

State Inspection, mv, rm, pull, push, and Controlled State Surgery

Terraform Test, Test Files, Assertions, Mocking, and Integration Tests

fmt, validate, Linting, Documentation, Pre-Commit, and Code Quality

Provisioners, local-exec, remote-exec, External Data, and Escape-Hatch Risks

Sensitive, Ephemeral, and Secret Data Handling

Cloud Credentials, Workload Identity, OIDC, and Short-Lived Authentication

Dependency Lock Files, Provider Verification, Mirrors, and Supply-Chain Security

Policy as Code with Sentinel, OPA Concepts, and Organizational Guardrails

Terraform in CI/CD: Plans, Reviews, Approvals, Applies, and Concurrency

GitHub Actions and GitLab CI Patterns for Terraform Automation

HCP Terraform Foundations: Organizations, Projects, Workspaces, and Runs

HCP Terraform Variables, Variable Sets, Teams, Permissions, and Run Tasks

HCP Terraform Agents, Private Networking, Remote Execution, and Governance

Terraform Stacks, Deployment Concepts, and Modern Composition Workflows

Kubernetes and Helm Providers, Cluster Bootstrap, and Provider Dependency Traps

Terraform on AWS: Account, Network, Compute, IAM, and Module Patterns

Terraform on Azure: Subscription, Resource Group, Network, Identity, and Module Patterns

Terraform on Google Cloud: Project, VPC, IAM, Compute, and Module Patterns

Multi-Cloud and Multi-Account Architecture, Landing Zones, and Boundaries

Performance, Large States, Parallelism, Provider Behavior, and Scaling

Upgrades, Provider Migrations, Compatibility, OpenTofu Awareness, and Production Capstone

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