AWS Certified Security – Specialty (SCS-C03)

For IT leaders: Misconfigured IAM policies, sprawling single-account setups, and blind spots in logging are among the most common sources of cloud security risk. This course gives your AWS team a shared, AWS-aligned approach to closing those gaps while preparing for the AWS Certified Security – Specialty (SCS-C03) exam.

Role fit: Best for cloud administrators and IT practitioners with 3–5 years of experience who already work in AWS. It also fits security-focused staff with less AWS depth, because early skills cover networking basics, including VPCs, subnets, NACLs, and security groups.

Time investment: Plan for about 17 hours of video across 16 skills, plus hands-on build time. Learners are expected to read the text resources linked between videos, so add time for those.

Risk and governance coverage: Your team works through:

• the Well-Architected security pillar
• AWS Organizations, including the foundational Security OU for consolidated logging
• SCPs, tagging policies, and Control Tower landing zones
• CloudTrail-based API activity logging and audit visibility
• encryption at rest and in transit
• identity management, firewalls, intrusion detection, threat modeling, and AWS workload security best practices

Change-management note: The labs are realistic projects built in a live AWS console, including a NextCloud deployment and supporting AWS network resources. Provide learners with a sandbox account that has budget notifications set up, not production access.

How it reinforces learning: Validation challenges with tiered hints test whether learners can apply concepts, not just recall them.

IT teams use this training to secure real AWS workloads, not just review exam objectives. Instead of one-off exercises, learners work through realistic, multi-skill projects: a NextCloud deployment on a VPC with public and private subnets, an EFS share that enforces encryption at rest and in transit, and database and web tiers configured with AWS Systems Manager and secrets management. Additional scenario-based challenges ask learners to apply identity management, firewall, encryption, intrusion detection, and AWS security best practices across AWS services.

• Fewer access-control mistakes: Practitioners learn IAM policy anatomy, condition keys, and tag-based controls. The course also covers cautionary tales about policies that look correct but fail in practice.
• Faster detection of suspicious activity: Teams build a proactive failed-login detector with CloudTrail, CloudWatch, and SNS, then work with threat detection services that monitor AWS resources.
• Stronger multi-account governance: Learners set up AWS Organizations with AWS-recommended foundational OUs, apply SCPs and tagging policies, and configure a Control Tower landing zone.
• Less configuration drift: Hands-on CloudFormation work shows how infrastructure as code prevents untracked manual changes from breaking systems later.

The result is a team that can turn AWS security best practices into working controls on architectures like the ones it already runs.

Knowledge

• How the Security Pillar of the AWS Well-Architected Framework, the Well-Architected Tool, and AWS prescriptive guidance shape a defensible security baseline
• IAM policy anatomy, including conditions, global condition context keys, and common pitfalls that cause policies to behave differently than intended
• Multi-account strategy with AWS Organizations, foundational OUs such as a Security OU, SCPs, tagging policies, and Control Tower landing zones
• Network security building blocks, including VPCs, subnets, NACLs, security groups, and practical troubleshooting of network design and access behavior
• Encryption at rest and in transit, secrets-handling patterns, and domain and certificate management
• Zero trust principles and edge protection with CloudFront and AWS WAF, plus the AWS services built for threat detection and analysis

Ability

• Write and validate least-privilege IAM policies that favor identities, conditions, and tags over resource names
• Build proactive detection, such as a failed-login alert using CloudTrail, CloudWatch, and Amazon SNS
• Structure and govern a multi-account AWS environment with guardrails that follow AWS best practices instead of mirroring the org chart
• Deploy a realistic multi-tier workload, including the course’s Nextcloud project, with encrypted EFS storage, secured database and web layers, and managed secrets
• Stand up a honeypot on AWS and interpret the results to understand real attack traffic
• Apply Cognito authentication, CloudFront distribution, and WAF filtering to protect an application in a zero trust design, and support SCS-C03 exam preparation