Learn security the way it's actually practiced, not just theorized.

A practical introduction to application security roles, tools, and the difference between app security and infrastructure security.

• Application security job roles explained
• Hands-on security fundamentals
• Interview prep for security roles

Work through the OWASP Top 10 web vulnerabilities hands-on using OWASP Juice Shop, with coding examples and interview-style practice.

• OWASP Top 10 vulnerabilities, hands-on
• Burp Suite practical exercises
• Security engineer interview prep

A case-study-driven bootcamp building the practical skills needed for a cybersecurity analyst role, working through real-world security scenarios.

• Real-world case studies
• Analyst-track practical skills

A complete grounding in DevSecOps — SAST, SCA, IaC, container and DAST scanning — building toward a full end-to-end pipeline for a real Java project.

• SAST, SCA, IaC, container, and DAST scanning
• End-to-end pipeline with Jenkins
• DevSecOps engineer CV and interview prep

Integrate SAST, DAST, and SCA security scans directly into GitHub Actions pipelines, with a full case study securing a real Java project.

• GitHub Actions YAML pipelines
• SonarCloud, Snyk, and OWASP ZAP
• End-to-end Java project case study

Implement DevSecOps inside Azure DevOps pipelines, integrating SAST, DAST, SCA, and SonarQube/SonarCloud, with issue tracking through JIRA.

• SAST/DAST integration with Azure DevOps
• SonarQube/SonarCloud and OWASP ZAP
• End-to-end Java project case study

Build a DevSecOps pipeline natively in GitLab, integrating security scanning stages directly into GitLab CI/CD.

• GitLab CI/CD pipeline security
• SAST/DAST/SCA integration

Implement DevSecOps practices inside JetBrains TeamCity, integrating security scanning into build configurations and pipelines.

• TeamCity build pipeline security
• SAST/DAST/SCA integration

Combine infrastructure-as-code, container orchestration, and pipeline automation — Terraform, Kubernetes, and Jenkins working together with security scanning on AWS.

• Terraform infrastructure-as-code
• Kubernetes + Jenkins pipeline security

Build a full DevSecOps pipeline in AWS — CodeBuild, CodePipeline, IAM, and Terraform — with automated security scanning across your infrastructure.

• AWS CodeBuild, CodePipeline, and IAM
• Terraform-based infrastructure security
• Automated AWS infrastructure scanning

Secure containers and cloud infrastructure with hands-on Cloud Security Posture Management using Qualys and AQUA, plus container scanning with Trivy and Snyk.

• CSPM with Qualys and AQUA
• Container scanning with Trivy and Snyk
• Jenkins pipeline integration

A hands-on DevSecOps build for a real game deployed on Azure Kubernetes Service, using GitOps principles with ArgoCD, SonarQube, and Trivy.

• Deploy to Azure Kubernetes Service
• GitOps with ArgoCD
• Container security with Trivy

Integrate SAST, SCA, and DAST scanning into a DevSecOps pipeline built on Google Cloud Platform.

• Google Cloud-native pipeline security
• SAST, SCA, and DAST integration

Apply GitOps principles across both Azure and AWS, combining Kubernetes and Terraform to manage multi-cloud infrastructure declaratively.

• GitOps across Azure and AWS
• Kubernetes + Terraform together

Build and operate AI-powered security operations — from automating threat detection to balancing AI automation with human oversight in a real SOC.

• AI-powered threat detection in the SOC
• DevSecOps and AI security integration
• Real-world automation workflows

A complete, job-ready path through AI security — model security threats, data security, governance frameworks, and threat modeling for agentic AI systems.

• Prompt injection, adversarial attacks, model poisoning
• AI governance frameworks
• Agentic AI threat modeling

Use AI to accelerate alert triage, automated threat identification, and incident response — building a security orchestration pipeline that connects tools, teams, and processes.

• AI-driven alert triage and prioritization
• Automated incident containment workflows
• Threat intelligence enrichment with AI

A practical guide to threat modeling single and multi-agent AI systems using the MAESTRO framework, ending in a real capstone threat modeling report.

• MAESTRO threat modeling framework
• Hands-on 4-step threat modeling process
• Capstone case study report

A guided tour of how AI is being applied across cybersecurity today, grounded in real case studies rather than just theory.

• Real-world AI security case studies
• Survey of current AI cybersecurity tooling

From GenAI fundamentals to an enterprise-grade case study automating deployments and enforcing security policy with GitHub Copilot.

• GitHub Copilot for DevOps workflows
• Prompt engineering for automation & security
• Enterprise end-to-end case study

Apply generative AI and prompt engineering to real DevOps and DevSecOps tasks, including a case study building a personal GPT to analyze log files.

• Prompt engineering for DevOps tasks
• Local AI model integration with Python
• Log analysis case study

Apply generative AI tools to software testing and QA workflows — from test case generation to AI-assisted bug analysis.

• AI-assisted test case generation
• GenAI workflows for QA teams

Learn STRIDE and DREAD threat models, plus tools like IriusRisk and MTM, to identify threats, assess risk, and build mitigation strategies into system design.

• STRIDE and DREAD threat models
• IriusRisk and MTM tooling
• Real-world design review assignments