Terraform & Infrastructure as Code
Stop clicking in consoles. Define infrastructure once, review it like code, and rebuild it identically — in a language that outlives whichever engine you run it on. The course that makes every other DevOps skill repeatable, built for fresh IT graduates and working engineers who will be on call.
Provisioning infrastructure by hand is now treated as a defect. Infrastructure as code is the assumed baseline for cloud work — and this is the course that makes every other DevOps skill repeatable: containers, clusters, pipelines and cloud accounts all have to be provisioned, versioned and reproduced, and this is how. The durable skill is HCL and infrastructure-as-code practice, not any one engine — and the scarce capability is not writing configuration but managing state, controlling blast radius, and bringing existing hand-built estates under management without downtime. That is where this course spends its time.
It also refuses to duck the defining issue of 2026. HashiCorp relicensed Terraform from an open-source licence to the Business Source Licence; the community forked the last openly licensed version as OpenTofu, now governed under the Linux Foundation; and HashiCorp — and therefore Terraform — is now owned by IBM. A course that teaches "Terraform" in 2026 without addressing this is negligent, and any informed prospect will notice. We teach the fork as an evidence-based decision you will learn to make — not an opinion we hand you. Labs run on either engine; graduates leave able to justify the choice for a given organisation, including the entirely legitimate "run both" position.
This is designed for two audiences at once. If you are a
fresh IT graduate targeting DevOps, cloud or
platform roles, HCL skills transfer across cloud providers and
across both engines, which makes them unusually portable. If you
are a working professional — a
system administrator still provisioning through
consoles, a cloud engineer who inherited someone else's
configurations and is afraid to run apply, or part of an
organisation evaluating the engine decision —
this course is the path from clicking to code, and from fear of
apply to control of it. Eight weeks, live and
lab-heavy: real cloud resources, real state, real recovery.
Terraform or OpenTofu? A Decision Framework, Not an Opinion
We are deliberately neutral. Your peers on this course include enterprises with IBM relationships and startups with open-source mandates, and the honest truth is that the right answer depends on your context. What the course gives you is the framework to decide with evidence:
- What's shared: HCL, the provider protocol and the state format remain largely common, so migration is close to a drop-in change — though syntax is beginning to diverge in both directions.
- Where OpenTofu leads: capabilities the Terraform CLI lacks, most notably native state and plan encryption, additional iteration and targeting options, and an openly licensed provider registry under community governance.
- Where Terraform leads: higher-level multi-configuration orchestration, a policy-as-code engine, and a mature managed platform with commercial support behind it.
- The one-way door: enabling OpenTofu's state encryption is effectively irreversible, because encrypted state cannot be read back by Terraform. You will learn which decisions can be reversed and which cannot.
- The practitioner reality: for an ordinary internal user the licence change has little day-to-day effect; it matters most to organisations with vendor policies, compliance requirements, or products built on top of the tool.
The Course That Makes the Rest Repeatable
- The clusters in Docker & Kubernetes, the platforms in MLOps Engineering, and the accounts everything runs in — all have to be provisioned, versioned and reproduced. This is that layer.
- Pairs with Git & GitHub for Developers — infrastructure changes are reviewed, gated and delivered the same way application code is.
Why Learn This When AI Writes HCL?
AI writes HCL fluently — and produces configurations that plan cleanly and are wrong in expensive ways: resources that will be destroyed and recreated rather than updated in place, security groups left open, state and secrets handled carelessly, and module structures copied from a blog for a different provider version. Infrastructure mistakes cost money and downtime, not a failed build. The value is judgment about state, blast radius and change safety — reading a plan and knowing what it will actually do. You'll use AI tooling as an accelerator you review, and learn the failure patterns generated infrastructure code repeats, so you ship its speed without shipping its mistakes.
Course at a Glance
- Duration: 8 weeks | ~60 hours | live + hands-on
- Format: Live online · lab-heavy · real cloud resources, real state, real recovery
- Prerequisite: Basic cloud familiarity with at least one provider, and command line comfort. No prior IaC experience required.
- Engines: Taught engine-neutral — labs run on Terraform or OpenTofu, and you graduate able to justify the choice
- Curriculum: 9 modules, from IaC foundations to real-world practice and capstone
- Certification: Aligned to the HashiCorp Terraform Associate path — the skills transfer across engines
- Curriculum reviewed: July 2026 — the engine landscape is shifting; this syllabus is checked against official documentation
Course Highlights
- Every module leads with what you build, operate or recover from — not what you "learn about"
- State treated as the module that actually matters — inspection, surgery, import, recovery
- A scrupulously neutral Terraform-versus-OpenTofu decision framework
- Brownfield import — bring an undocumented hand-built estate under code without downtime
- Policy-as-code gates that block non-compliant infrastructure before it exists
- Secrets that never enter state or version control; dynamic credentials for pipelines
- CI/CD and GitOps for infrastructure — plan on PR, gated apply, drift remediation
- AI tooling as an accelerator you review, never a substitute for reading the plan
Hands-on Projects & Portfolio
Network, compute, database and cluster — built from scratch, torn down and rebuilt identically.
Versioning, documented interfaces and contract tests.
Recover from a corrupted state file, a partially applied change and an accidental resource deletion.
Bring a hand-built, undocumented environment under code management without downtime.
Restructure modules and move resources between states with zero destruction.
Block non-compliant infrastructure in a pull request, with cost estimation attached.
Automated plan on PR, gated apply, and scheduled drift detection.
Run the same configuration on both engines and produce a written recommendation for a given context.
Complete production environment: tested, governed, cost-aware and defended.
Tools & Stack
Terraform OpenTofu HCL Terragrunt AWS Azure Google Cloud Kubernetes provider Helm provider Checkov Trivy tflint Terratest Open Policy Agent Sentinel Infracost Vault Atlantis Spacelift or env0 GitHub Actions Git Docker
Certification Alignment
- Syllabus mapped to the HashiCorp Terraform Associate certification path where relevant
- The credential covers Terraform specifically — but the skills taught here transfer across engines and across cloud providers
- Presented as preparation and alignment — no official partnership or accreditation implied, and no exam outcome guaranteed
Career Outcomes
Infrastructure as code is now the assumed baseline for cloud work rather than a specialism — provisioning by hand is treated as a defect — and HCL skills transfer across cloud providers and across both engines, which makes them unusually portable. The scarce capability is not writing configuration but managing state, controlling blast radius, and bringing existing hand-built estates under management safely. This course targets:
- DevOps Engineer
- Platform Engineer
- Cloud Engineer
- Site Reliability Engineer
- Infrastructure Engineer
- Cloud Architect (with experience)
- Security engineer working on infrastructure compliance
- Backend engineer owning their own environments
Who This Course Is For
- Final-year students and fresh IT graduates targeting DevOps, cloud or platform roles
- System administrators and infrastructure engineers still provisioning through consoles — a large group with immediate need
- Developers who want to own their own environments end to end
- Cloud engineers who inherited someone else's configurations and are afraid to run apply
- SREs and platform teams standardising infrastructure across many teams
- Organisations evaluating the engine decision who need their team to understand both
Material Includes
- Class recordings
- Module library & state-recovery runbooks
- Engine-decision framework & migration checklists
- Certificate
Prerequisites
- Basic cloud familiarity with at least one provider
- Command line comfort
- No prior IaC experience required
Estimated Time: 6 Hours
You build:- Your first real resource provisioned, changed and destroyed through the plan/apply loop — on both engines — with a written read of what each plan intends to do
- Declarative versus imperative provisioning; the plan/apply model and the reconciliation loop; providers and the registry ecosystem
- The engine landscape and the licensing and governance context — Terraform, OpenTofu, and what the fork means in practice
- Where configuration management and container orchestration fit alongside rather than compete
Estimated Time: 7 Hours
You ship:- A configuration that uses for_each, dynamic blocks, validated typed variables and pinned provider versions — readable, DRY, and safe from a surprise version upgrade
- Resources, data sources, variables and outputs; locals; expressions and functions
- Meta-arguments including count, for_each and lifecycle; dynamic blocks; type constraints and validation
- Provider and version constraints, and why unpinned versions are a future outage
Estimated Time: 8 Hours
You recover:- The state disaster lab — a corrupted state file, a partially applied change and an accidental deletion recovered; plus a remote backend with locking and existing infrastructure imported under management
- What state is and why everything hinges on it; remote backends and locking; workspaces; sensitive data in state and encryption options
- State inspection and surgery; importing existing infrastructure; refactoring with move operations; splitting and merging state
- Drift detection and reconciliation; recovering from a corrupted or lost state file
Estimated Time: 7 Hours
You ship:- A reusable module library — clean interfaces, sensible defaults, versioned and published to a private registry — structured to serve many environments without copy-paste
- Writing reusable modules; interface design and sensible defaults; versioning and publishing; private registries
- Composition patterns; avoiding over-abstraction; dependency management between layers
- Structuring a repository across many environments and teams
Estimated Time: 6 Hours
You ship:- A repository serving dev, staging and production from shared modules with per-environment configuration — blast radius contained, and applies that don't collide with a teammate's
- Environment promotion strategies compared honestly; separating configuration from environment; remote execution
- Orchestrating many configurations; blast radius control and targeted operations
- Code review for infrastructure changes; collaborating without stepping on each other's applies
Estimated Time: 7 Hours
You ship:- A policy-as-code gate that blocks non-compliant infrastructure before it exists, with security scanning and cost estimation attached to the pull request
- Static analysis and linting; security scanning of configurations; the native test framework and integration testing against real resources
- Contract testing for modules; policy enforcement to block non-compliant infrastructure before it exists
- Compliance-as-code; cost estimation in the pull request
Estimated Time: 6 Hours
You ship:- A pipeline that provisions with dynamic, short-lived credentials and least-privilege roles — no secret ever in state or version control, and state encrypted at rest
- Secrets that never enter state or version control; dynamic credentials and workload identity for pipelines
- Least-privilege provisioning roles; provider authentication patterns; encryption at rest for state
- Audit trails; least-privilege infrastructure by default
Estimated Time: 6 Hours
You ship:- A pull-request-driven pipeline: automated plan as a review artefact, gated apply, scheduled drift detection, and a rehearsed rollback strategy for changes that can't simply be reverted
- Pull-request driven plan and apply; automation platforms and self-hosted runners; approval gates and drift remediation pipelines
- Handling plan output as a review artefact; rollback strategy for infrastructure that cannot simply be reverted
- Integrating with application delivery pipelines
Estimated Time: 7 Hours
You ship:- Your capstone: one complete production environment — networking, compute, managed data and Kubernetes — built, tested, governed and cost-aware, with a legacy estate imported and an engine migration rehearsed, and every decision defended
- Provisioning a full cloud environment across networking, compute, managed data services and Kubernetes; provider-specific gotchas
- Multi-cloud and multi-region patterns; importing a legacy hand-built estate under management; migrating between engines; upgrade planning
- Cost optimisation; capstone design, build, test and defense
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