Advanced Terraform on Azure Training

This four-day course is the third course in QA’s Terraform learning journey. It is designed for experienced practitioners who already use Terraform in Azure production environments and now need to operate it safely within real DevOps delivery pipelines.

While earlier courses focus on writing Terraform and structuring it for reuse and automation, this course focuses on what happens after Terraform is embedded in CI/CD — when environments are shared, infrastructure already exists, and change must be governed, reviewed, and justified.

Delegates learn to treat Terraform not as a deployment tool, but as a state-driven operating model integrated into DevOps workflows for managing ownership, intent, and risk over time. The course reflects how Terraform is used in mature organisations, where automation executes decisions, but humans remain accountable for them.

This course goes beyond “Terraform + CI/CD”.

It teaches how Terraform should be operated inside DevOps, where:

• pipelines execute, but humans decide
• plans are reviewed as governance artefacts
• state represents ownership and authority
• change is deliberate, not automatic

This makes the course suitable for organisations operating regulated, multi-team Azure estates.

Prerequisites

This is an advanced course. Delegates should already be comfortable working with Terraform in Azure and familiar with DevOps delivery concepts.

To gain maximum value from this course, delegates should have completed:

• Terraform in Practice (QATIP)
• Intermediate Terraform Cloud Automation (QATIPINT)

- or have equivalent experience using Terraform with modules, remote state, and CI/CD pipelines.

Target Audience

This course is designed for:

Systems Engineers, SRE and DevOps Engineers

By the end of this course, learners will be able to:

• Operate Terraform safely across multiple Azure environments within DevOps pipelines
• Understand Terraform state as an ownership and authority boundary
• Analyse Terraform plans produced by CI/CD to assess risk and impact
• Refactor live Terraform configurations without unintended destruction
• Design and consume reusable, governance-aware Terraform modules
• Implement intent-driven promotion and approval workflows
• Integrate Terraform with governed DevOps delivery models
• Consume centrally managed Azure Landing Zones correctly
• Reconcile existing workloads with modern platform standards

The course is delivered through concept-led modules, each reinforced by hands-on labs that reflect real-world Azure and DevOps operating models.

Module 0 – Course Philosophy: Terraform in DevOps-Driven Organisations

Establishes the mindset for operating Terraform as part of a DevOps delivery system rather than a standalone tool.

Module 1 – Terraform State and Resource Identity

Explores how Terraform derives identity from state and how this affects lifecycle behaviour in automated pipelines.

Module 2 – Input Hygiene, Validation, and Determinism

Introduces defensive Terraform patterns that prevent unsafe configuration from entering state via CI/CD.

Module 3 – Dynamic Configuration and Predictable Scaling

Demonstrates how to scale Terraform configurations without introducing hidden churn in automated deployments.

Module 4 – Multi-Environment State and Remote Backends

Covers remote state, environment isolation, and operational risk when Terraform is executed through shared pipelines.

Module 5 – Modular Design and Safe Refactoring

Focuses on evolving Terraform configurations safely while preserving identity in live DevOps workflows.

Module 6 – Reuse, Contracts, and Organisational Boundaries

Examines shared module consumption, interface contracts, and handling change across teams.

Module 7 – Intent-Driven Promotion and Governance

Explores promotion, approvals, and governance as explicit DevOps controls rather than implicit automation.

Module 8 – Consuming and Reconciling with a Centralised Landing Zone

Addresses brownfield reality, platform consumption, and reconciling existing workloads within a governed DevOps model.

Exams and Assessments

There is no certification or exam associated with this course.

Hands-On Learning

• Hands-on Lab: Analyse Terraform state and resource identity in a pipeline context
• Hands-on Lab: Enforce input validation and defensive guardrails in CI/CD
• Hands-on Lab: Refactor static resources into deterministic, scalable patterns
• Hands-on Lab: Operate Terraform across multiple Azure environments using remote state
• Hands-on Lab: Safely refactor live Terraform configurations using modules
• Hands-on Lab: Consume shared Terraform modules via stable contracts
• Hands-on Lab: Manage contract changes and assess breaking vs non-breaking updates
• Hands-on Lab: Review Terraform plans as DevOps governance and approval artefacts
• Hands-on Lab: Import existing Azure resources into Terraform state
• Hands-on Lab: Reconcile existing workloads with a centrally managed Landing Zone

All labs are delivered through realistic DevOps workflows, reinforcing safe automation, governance, and professional accountability.