Every lab uses real tools and AI techniques employers actually look for. You build a portfolio while you learn — not after.
Real tools. Real techniques. Real portfolio pieces — included with the course.
Capture live packets, apply ML anomaly detection to flag suspicious flows
Build ML correlation rules in Splunk to auto-detect attack patterns in real logs
Train a Python scikit-learn classifier to distinguish benign from malicious binaries
Build an NLP model that classifies phishing emails with 95%+ accuracy
Attack and defend LLM-based tools; document prompt injection vulnerabilities
Use Isolation Forest in Python to detect outliers in network traffic datasets
Profile normal user behavior and trigger AI alerts on insider threat patterns
Build automated IR playbooks using AI orchestration to cut MTTR by 60%
AWS CloudTrail + AI threat detection — spot privilege escalation in real time
Analyze deepfake audio/video samples and build detection workflows
Run Nessus scans then use AI to prioritize CVEs by exploitability and business impact
Kerberoasting, Pass-the-Hash attacks + AI-powered detection and response
Generate certs, analyze TLS connections, and use AI to detect certificate anomalies
Implement microsegmentation + AI policy enforcement in a virtual enterprise network
Embed SAST, DAST, and AI code review into a GitHub Actions CI/CD pipeline
Build a Python tool that pulls OSINT feeds and uses NLP to surface critical IOCs
AI-driven password strength modeling + hashcat GPU cracking and defense strategies
Use SHAP and LIME to explain ML model decisions — critical for SOC analyst buy-in
AI-assisted cryptanalysis lab + quantum threat modeling and post-quantum algorithms
Full SOC workflow: AI-assisted alert triage, threat hunting, and escalation decisions
All labs are included in every tier. Self-Paced ($497) and Self-Paced + Coaching ($997) both get lifetime access; the coaching tier adds 4 × 1:1 calls and a 90-day async review window.