Online Course8 Modules · 24 Deliverables · Lifetime Access
AI-Augmented Cybersecurity Professional
Use AI to work faster, detect more, and respond better. Eight modules covering prompt engineering, AI threat detection, defensive AI, red teaming, and AI-driven incident response. For working security professionals ready to add AI to their toolkit.
$397
One-time · Lifetime access · or 3 × $145/mo
30-day refund if you complete Module 1 and it is not right for you. No questions asked.
Version 1.0 — Published April 2026 — Last verified April 2026
What you will build
Each module produces practical assets you can deploy immediately: prompt libraries, detection templates, playbooks, and governance frameworks built for real security work.
1Personal AI Tool Stack Audit
2SecOps Prompt Library (50+ prompts)
3AI Tool Evaluation Scorecard
4SIEM Rule Templates (AI-generated)
5Log Analysis Workflow Documentation
6Anomaly Detection Threshold Calculator
7AI Model Threat Map
8Prompt Injection Test Cases
9AI Risk Assessment Template
10AI Controls Framework Checklist
11Adversarial Testing Results Report
12Automated Recon Workflow Documentation
13AI Payload Variation Reference Sheet
14AI-Integrated IR Playbook
15Triage Decision Tree (AI-assisted)
16IR Report Template (AI-formatted)
17Threat Actor Attribution Framework
18AI Vendor Evaluation Matrix
19Team AI Skill Gap Assessment
20AI Governance and Acceptable Use Policy
21AI Change Management Plan Template
22AI Security Portfolio Guide
23AI Security Certification Roadmap
2418-Month AI Security Career Plan
AI Security Engineer
$130K–$180K
Designs and secures AI/ML systems. Growing role at enterprise and cloud-native companies.
AI Red Team Specialist
$120K–$160K
Tests AI systems for vulnerabilities, adversarial inputs, and misuse scenarios.
Security Analyst (AI-Augmented)
$85K–$120K
Traditional security role with AI tool proficiency commanding a 15-25% salary premium.
Salary ranges are illustrative estimates based on industry job posting data and BLS Occupational Employment and Wage Statistics, 2024. AI security roles are emerging and compensation varies significantly by employer, location, and experience. For educational purposes only. See full salary data
All 8 modules
Each module ends with a quiz and produces at least two deliverables you keep.
1
The AI Landscape for Security Professionals
Map the AI tools security teams use today, distinguish between hype and production-ready capabilities, and build your personal AI stack audit.
AI in Security: State of the FieldLLMs vs. ML vs. Rules-Based SystemsEvaluating AI Tools for Security UseYour Personal AI Tool StackAI Risk and Governance Primer
2
Prompt Engineering for SecOps
Write prompts that get reliable, security-relevant outputs from AI systems. Build a reusable SecOps prompt library for your team.
Why Prompting Matters in Security WorkflowsPrompt Structure for Technical AnalysisContext, Constraints, and Output FormatsChain-of-Thought for Incident AnalysisBuilding Your SecOps Prompt Library
3
AI-Powered Threat Detection
Use AI to write detection rules, analyze logs faster, and surface anomalies that signature-based tools miss. Build detection templates you can deploy.
AI vs. Signature Detection: What Each Does BestUsing LLMs to Write SIEM RulesLog Analysis at Scale with AI AssistanceAnomaly Detection: Models and ThresholdsDetection Templates for Common Attack Patterns
4
Defensive AI Security
Understand how attackers target AI systems, how to assess AI model risk, and how to build controls into AI-enabled environments.
Attack Surface of AI SystemsPrompt Injection and Jailbreak TechniquesModel Poisoning and Data IntegrityAssessing AI Risk in Enterprise EnvironmentsControls Framework for AI Deployments
5
AI Red Teaming and Offensive Techniques
Apply AI tools to reconnaissance, payload generation, and vulnerability analysis in authorized engagements. Build an adversarial testing framework.
AI-Assisted ReconnaissanceUsing AI for Payload VariationAutomated Vulnerability AnalysisAI in Social Engineering ScenariosBuilding Your Adversarial Testing Framework
6
AI-Augmented Incident Response
Speed up IR with AI-assisted triage, timeline reconstruction, and report generation. Build a playbook that integrates AI into each phase of response.
AI Triage: Prioritization and False Positive ReductionTimeline Reconstruction with AI AssistanceEvidence Summarization for Non-Technical StakeholdersAI-Assisted Threat Actor AttributionBuilding Your AI-Integrated IR Playbook
7
Building AI Security Programs
Design governance frameworks, evaluation criteria, and team training plans for organizations deploying AI in security operations.
AI Security Program StructureVendor Evaluation for AI Security ToolsTeam Skill Gap Analysis for AI AdoptionGovernance, Policy, and Acceptable UseChange Management for AI Integration
8
AI Security Career Strategy
Position yourself for roles at the intersection of AI and security. Build your portfolio and identify the fastest career paths in AI security.
Emerging Roles: AI Security Engineer, Red Team AI SpecialistSkills That Command Premium CompensationBuilding an AI Security PortfolioAI Security Certifications: What Exists and What MattersYour 18-Month AI Security Career Plan
What makes this different
Most AI content for security teams is either too abstract or too focused on building models. This course teaches you to use AI as a working security professional.
Practical, not theoretical
Every module produces something you can use Monday morning: prompts, templates, playbooks, and frameworks built for real security work.
Security-first, not ML-first
You do not need a machine learning background. The course is written for security practitioners who want to use AI tools, not build AI models.
Offensive and defensive coverage
You learn both how to use AI to defend and how attackers are using AI to attack. The red teaming module covers authorized engagements only.
Career-track specific
Module 8 maps the fastest-growing AI security roles, what they pay, and what skills move you from security professional to AI security specialist.
24 reusable deliverables
Prompt libraries, playbooks, risk frameworks, and governance templates you can deploy immediately or adapt for your organization.
This course is for you if...
- ✓You work in cybersecurity (SOC analyst, IR, pen tester, security engineer) and want to use AI tools daily
- ✓You are a security manager who needs to evaluate AI tools for your team
- ✓You want to specialize in AI security roles before they become mainstream
- ✓You are running penetration tests and want to understand where AI fits in authorized engagements
- ✓You need to build AI governance and acceptable use policies for your organization
- ✓You want to position for senior roles that increasingly require AI literacy
This course is NOT for you if...
- ✕You have no cybersecurity background. Start with Break In first.
- ✕You want to build AI or machine learning models from scratch
- ✕You want a vendor certification like CompTIA AI+ or similar
- ✕You are looking for in-depth ML theory or statistical modeling
- ✕You expect guaranteed employment outcomes (no course can promise that)
About the instructor
Julian Calvo, Ed.D., M.S.
Founder, DecipherU · Barry University · University of Miami · Northeastern University
Julian Calvo holds a doctorate in education from Barry University, with research focused on psychometric assessment design and adult learning frameworks. The AI-Augmented course draws on his work building AI-integrated systems into the DecipherU platform and his study of how security teams are adopting AI tools across detection, response, and red team operations.
30-Day Module-1 Guarantee
Complete Module 1 and if the course is not what you expected, email us within 30 days of purchase. Full refund, no questions asked.
Module 1 gives you a real sample of the course depth and methodology. If the approach does not fit your situation, the rest will not be different.
Frequently asked questions
Do I need prior AI or machine learning experience?
No. The course is written for security practitioners, not AI researchers. You need a basic understanding of cybersecurity concepts. The course teaches you to use AI tools as a working security professional, not to build AI systems from scratch.
What is the prerequesite level of cybersecurity experience?
The course assumes you understand core security concepts: what a SOC does, what incident response involves, what a penetration test is. If you are brand new to cybersecurity, start with the Break In course first, then return to this one.
Does this course cover offensive AI techniques?
Module 5 covers AI-assisted red teaming for authorized engagements only. All offensive techniques are framed in the context of legitimate penetration testing and authorized security assessments. Nothing in the course is designed for or intended to support unauthorized access.
How long does the course take?
Most students complete it in 3-6 weeks working a few hours per week. There is no deadline. Lifetime access means you can return to any module when you need it.
Does completing the course guarantee any career outcome?
No. No course can guarantee employment or promotion outcomes. Career results vary by individual effort, employer, local market, and factors outside any course. This course is for educational purposes only.
Ready to add AI to your security work?
Start with the free career assessment to confirm this is the right next step.
Career transition timelines and outcomes vary by individual. This guide is for educational purposes and does not guarantee employment outcomes.
Last verified: April 2026?Report an inaccuracy