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AWS IAM Lab Guide: How to Manage Users, Groups, Roles & Permissions in AWS Academy Cloud Architecting

By LearnFlow · July 9, 2026 · 8 min read · IAM, AWS Academy, Cloud Computing

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AWS Identity and Access Management (IAM) is the foundation of every secure AWS environment. Before you launch a single EC2 instance or store data in S3, you need to know exactly who can access your account and what they're allowed to do once they're in. This hands-on lab, part of the AWS Academy Cloud Architecting curriculum, walks through the core IAM workflow: creating users, organizing them into groups, attaching policies, and verifying that permissions behave the way you expect.

In this guide, we'll break down everything covered in the video — from the basics of IAM to best practices you can apply in real production accounts — so you can follow along with the lab or use it as a quick reference afterward.

1. Introduction to AWS IAM

AWS Identity and Access Management (IAM) is the service that controls who can sign in to your AWS account and what actions they can perform once authenticated. IAM sits at the center of AWS security architecture and is used in almost every real-world deployment, which is why it's one of the first topics covered in AWS Academy Cloud Architecting.

At a high level, IAM lets you manage four main types of entities:

• Users — individual identities for people or applications that need to interact with AWS.
• Groups — collections of users that share the same set of permissions.
• Roles — temporary identities that AWS services or federated users can assume.
• Policies — JSON documents that define exactly what actions are allowed or denied.

2. Managing Permissions Using IAM Policies

IAM policies are the building blocks of access control in AWS. Each policy is written in JSON and defines a set of permissions — which actions are allowed or denied, on which resources, and under what conditions.

A simple IAM policy structure looks like this:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "s3:ListBucket",
      "Resource": "arn:aws:s3:::example-bucket"
    }
  ]
}

In the lab, you attach AWS-managed policies (predefined by AWS) as well as create custom policies scoped to a specific task. This hands-on step reinforces how permissions are evaluated and how policy attachment directly affects what a user or role can do in the console or via the CLI.

3. Assigning Users to Groups

Instead of attaching permissions to individual users one by one, IAM groups let you manage permissions at scale. You create a group, attach the relevant policy to that group, and then add users to it — every member automatically inherits the group's permissions.

This lab step demonstrates:

• Creating an IAM group (e.g., Developers or Admins).
• Attaching a policy to the group.
• Adding one or more IAM users to the group.
• Confirming that the user's effective permissions match the group's policy.

Using groups instead of per-user policies is a best practice because it keeps permission management consistent and much easier to audit as your team grows.

4. Understanding Least Privilege Access

The principle of least privilege means giving each user or role only the permissions they need to perform their job — nothing more. This is one of the most important security concepts in cloud architecture, and the lab reinforces it by having you scope down policies rather than granting broad, unrestricted access.

Why least privilege matters:

• It limits the damage if credentials are ever compromised.
• It reduces the chance of accidental misconfiguration or data loss.
• It makes auditing and compliance significantly easier.

5. Verifying IAM Configurations

Setting up users, groups, and policies is only half the job — you also need to verify that access controls behave as intended. In the lab, this is done by signing in as the newly created IAM user and testing which actions succeed and which are denied, confirming that the policy is enforcing the expected boundaries.

The IAM console's Policy Simulator and the Access Advisor tab on each user/role are also useful tools for validating permissions without needing to log in as that identity.

6. Best Practices for AWS Security

The lab wraps up with a set of IAM best practices that apply well beyond the classroom:

• Never use the AWS account root user for everyday tasks.
• Enable multi-factor authentication (MFA) for all IAM users, especially those with elevated privileges.
• Use IAM roles instead of long-term access keys wherever possible.
• Grant permissions through groups, not individual users.
• Regularly review and rotate credentials and remove unused users or policies.
• Apply the principle of least privilege to every policy you write.

Frequently Asked Questions

What is AWS IAM used for?

AWS IAM is used to securely control access to AWS services and resources by managing users, groups, roles, and permission policies.

What's the difference between an IAM user and an IAM role?

An IAM user represents a permanent identity (a person or application) with long-term credentials, while an IAM role provides temporary credentials that can be assumed by users, applications, or AWS services.

Why should I use IAM groups instead of attaching policies to individual users?

Groups make permission management more scalable and consistent — you update the policy once at the group level instead of editing every individual user.

What does "least privilege" mean in AWS?

It means granting only the minimum permissions required for a user or role to perform its intended task, reducing security risk.

Is this lab part of AWS Academy Cloud Architecting?

Yes, this IAM lab is part of the AWS Academy Cloud Architecting course and is designed to build the foundational security skills needed for the rest of the curriculum.