AI Cybersecurity & Cloud Security Specialist
Equipping professionals with cutting-edge AI skills to defend against sophisticated cyber threats and secure cloud environments.
Learning Outcomes & AI Competencies
Deploy AI‑Driven Threat Detection
Train and tune ML models to identify malware, phishing, anomalies, and zero‑day exploits.
Harden Cloud AI Services
Secure AI/ML pipelines on AWS, Azure, Google Cloud; configure identity, encryption, logging.
Defend Against Adversarial AI
Detect poisoning, evasion, model‑inversion attacks; implement resilient ML defences.
AI‑Enhanced Digital Forensics
Use AI/NLP to correlate logs, trace movement, generate forensic timelines.
Apply NIST AI RMF
Conduct risk assessments (Map–Measure–Manage–Govern); align with NIST CSF, ISO 27001.
Automate Security Operations
Build GPT‑powered “cyber bots” for alerts triage, SOC queries, simulated drills.
Communicate Security Posture
Create executive dashboards and incident briefings translating findings into business risk.
Tools, Platforms & Software Mastery
- SIEM/SOAR: Splunk, Sentinel, QRadar w/ AI
- ML Libraries: PyOD, Scikit‑learn, Prophet, TensorFlow, PyTorch
- Adversarial ML: CleverHans, ART
- Cloud Security: AWS GuardDuty, Azure Security Center, Google SCC
- Threat Intel & GenAI: OpenAI GPT‑4 APIs, VirusTotal, MISP
- Forensics: Velociraptor, Autopsy, ElasticSearch ML
Course Structure & Instructional Sequence
Foundations of AI & Cybersecurity
AI basics, cybersecurity principles, ethics, regulatory landscape.
Machine Learning for Threat Detection
Feature engineering, building classifiers, alert tuning.
Adversarial AI & Model Hardening
Attack types, defence strategies, red‑teaming ML models.
Cloud AI Security Architecture
Securing data pipelines, IAM for ML, compliance in AWS/GCP/Azure.
AI‑Enhanced Forensics & Incident Response
Log correlation, GPT‑driven triage bots, root‑cause analysis.
Governance, Risk & Compliance
NIST AI RMF, AI security policies, privacy & ethics.
Capstone – Secure‑AI Deployment Project
Design, secure, test an AI workload; present risk assessment.
Performance Assessments, Micro‑Credentials & Capstones
Hands‑On Labs
Configure Sentinel anomaly rules; craft adversarial examples and implement defences; harden an AWS SageMaker pipeline.
Micro‑Credentials
- ML Threat Hunter
- Cloud AI Security Analyst
- Adversarial ML Defender
Capstone Ideas
- GPT‑powered SOC chatbot for phishing triage.
- Securing an AI‑enabled smart‑building IoT network.
- Audit of facial‑recognition model for privacy/bias.
Crosswalk to Florida CTE Courses & Certifications
CTE Course Alignment
Enhances Cybersecurity (9001320), Cloud Essentials (9001420), and Emerging Tech courses.
Industry Cert Alignment
- CompTIA CySA+ / Security+
- AWS Certified Security – Specialty
- Microsoft Certified: Cybersecurity Architect Expert
- GIAC Machine Learning Security Engineer (GMSE) (emerging)
Target Learner Levels
High School
Grade 11–12 students in IT/Cyber academies with foundational networking.
Adult Technical Colleges
Upskilling for SOC analysts, cloud admins.
State Colleges
College Credit Certificate nested within A.S. in Cybersecurity or Cloud Computing.
Stackability & Articulation Pathways
Gold‑Standard articulation into Network Defense, Cloud Security, or AI Security coursework (3–6 credits).
Fully counts toward Cybersecurity A.S.; elective credits for Cloud Infrastructure or Data Analytics.
Credits apply to B.A.S. in Cybersecurity, Applied Science, or IT Management.
Industry Partnerships & Alignment
- Advisory Board: FL Center for Cybersecurity, MSSPs, cloud vendors, AI security startups.
- Vendor Collaborations: Splunk Academic, Microsoft Learn, AWS Academy.
- Internships & Co‑Ops: SOCs, cloud security teams, state agencies.
- Statewide Cyber Range & CTFs: FL Cyber Range integration, AI‑themed CTFs.
- Community Projects: Auditing GoodSAM.ai models, developing GPT security bots.