Ultimate Terraform Bootcamp For Absolute Beginners (on AWS)

Master Terraform overview as an infrastructure as code tool that defines the desired state, detects drifts, and uses HashiCorp configuration language templates to manage multi-cloud resources.

Install Terraform on macOS, Windows, or Linux by downloading from HashiCorp and following platform-specific steps. Then install the HashiCorp extension in Visual Studio Code and verify the Terraform version.

Understand how terraform providers abstract cloud APIs to manage aws resources like ec2, security groups, and vpcs; define providers in configuration and use the registry for partner or community options.

Learn how Terraform resolves implicit and explicit resource dependencies using a graph to order EC2, S3 bucket, and elastic IP creation, ensuring correct sequencing.

Explore the resource lifecycle meta arguments in Terraform, including create before destroy, ignore changes, and prevent destroy, to control resource replacement, protect important resources, and ignore nonessential edits.

Learn how Terraform tracks infrastructure with the tf state file, compares current and desired states, and uses plan and apply with refresh options to reconcile changes.

Configure and enforce Terraform and provider versions using the Terraform block and required_providers, configure the provider block with a local name, and manage the AWS plugin constraints for reliable infrastructure.

Explore configuring the same provider across regions with aliases, using provider blocks and referencing alias in resources to deploy in us east one and us west two with different profiles.

Explore terraform provisioners, including local-exec, to run commands on the local machine or after resource creation, with examples like echoing the private IP to a local file.

Launch an EC2 instance with Terraform, SSH in using a key, and install nginx via remote-exec provisioner; compare with using a user-data script to run inline commands.

Learn how Terraform variables act as boxes in memory to hold values, enabling you to reference them with var.name across a security group configuration to avoid repetitive updates.

Explore Terraform variable assignment approaches, including command line -var, -var-file, tfvars files, and environment variables, and follow best practices to keep static values out of the main configuration.

Master Terraform variable data types, including strings, numbers, booleans, lists, maps, and sets, and learn how to reference them while observing reserved names like count and depends_on.

Explore Terraform variable data types through hands-on labs, using lists and maps, tfvars, and output blocks to see how strings and numbers are interpreted, with practical AWS provider context.

Demonstrate string interpolation in Terraform by inputting variables, referencing elastic IPs, and configuring security group CIDR blocks with precise values.

Learn to use Terraform count and count.index to create multiple AWS IAM users with unique names and tags via string interpolation, and observe plan, apply, and potential destroy-recreate outcomes.

Learn to use Terraform locals to create reusable tag maps for EC2 instances, reference locals in other locals and resources, and derive values from variables during plan and apply.

Explore the Terraform substring function, length function, and contains function with practical examples of offset, length, and containment checks for lists and strings.

Use variables in child modules to support reusability across development, production, and other environments, and use locals in the root module to enforce fixed settings and governance.

Use Terraform workspaces to deploy the same configuration across production, development, and testing by maintaining separate state files, enabling concurrent, isolated environments from one machine.

This hands-on lab shows using Terraform workspaces to tailor AWS EC2 instance types and tags via workspace-based lookup maps, with per-workspace tf state and commands like workspace list and select.

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Build confidence using Terraform, explore documentation, and deploy and automate infrastructure as code on AWS, other clouds, or on premises. Share feedback and explore career programs and learning opportunities.