Cyber Security Specialization: 100 Hands-On Labs

This course contains the use of artificial intelligence.

Most cyber security training focuses on isolated tools and theoretical concepts.

Modern enterprise environments are far more complex and commonly include:

• Kubernetes clusters

• Cloud infrastructure

• APIs and microservices

• CI/CD pipelines

• Identity providers

• Remote infrastructure

• Runtime environments

• Infrastructure as Code workflows

This course is designed to provide practical, hands-on experience across these modern cyber security domains through a structured lab-based learning approach.

What You Will Learn

This specialization contains 100 progressively connected labs covering enterprise cyber security engineering, infrastructure security, DevSecOps, cloud security, detection engineering, and incident response workflows.

Students will build, configure, secure, troubleshoot, and validate real-world systems in guided environments.

Topics include:

Linux Security & System Hardening

Learn to secure Linux systems using:

• CIS Benchmarks

• nftables

• auditd

• Fail2Ban

• LUKS encryption

• systemd isolation

• Kernel security tuning

Networking & Zero Trust Architecture

Build and secure networking environments including:

• VLAN segmentation

• WireGuard VPNs

• DNSSEC configurations

• Bastion hosts

• Reverse proxy security

• Enterprise PKI workflows

Identity & Access Management

Deploy and manage:

• Keycloak SSO

• OAuth2

• OpenID Connect

• MFA systems

• Vault secret management

• RBAC policies

• Machine identities

Cloud & Infrastructure Security

Work with:

• AWS IAM security

• Terraform security practices

• Policy-as-Code

• Cloud audit logging

• Infrastructure validation

• Secure deployment workflows

Kubernetes Security

Learn Kubernetes security concepts including:

• RBAC

• Admission controllers

• Network policies

• Runtime security

• Secrets management

• Container supply chain security

• Hardened multi-node clusters

DevSecOps Engineering

Implement secure software delivery workflows using:

• GitHub Actions security

• SBOM generation

• Gitleaks scanning

• Sigstore signing

• ArgoCD GitOps workflows

• Continuous compliance validation

SIEM & Detection Engineering

Build monitoring and detection systems with:

• OpenSearch

• Grafana

• Sigma rules

• Threat hunting workflows

• MITRE ATT&CK mapping

• Threat intelligence integrations

Offensive Security & Incident Response

Practice security operations including:

• Ethical hacking simulations

• API security testing

• Incident response

• Digital forensics

• Recovery operations

• SOC workflows

Final Capstone Project

The course concludes with a large-scale capstone project focused on building and securing a modern enterprise cyber security environment integrating:

• Hardened Linux systems

• Kubernetes security controls

• GitOps deployment workflows

• SIEM and logging pipelines

• Runtime monitoring

• Threat detection

• Compliance automation

• Disaster recovery workflows

Hands-On Learning Approach

Each lab is designed with practical operational exercises that may include:

• Environment validation

• Troubleshooting scenarios

• Recovery procedures

• Security testing

• Configuration verification

• Detection engineering exercises

Who This Course Is For

This course is intended for:

• Cyber security students

• DevOps engineers

• System administrators

• SOC analysts

• Cloud engineers

• IT professionals interested in enterprise security

• Learners interested in hands-on cyber security labs

Requirements

Basic familiarity with Linux and networking concepts is recommended. Some labs may require virtualization or cloud resources depending on the exercises performed.

Learning Outcome

By completing the labs, students will gain practical exposure to modern enterprise cyber security workflows and infrastructure security concepts commonly used in cloud-native and DevSecOps environments.