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Cybersecurity teams are facing increasingly sophisticated threats while managing growing compliance requirements and complex security operations. Generative AI and Agentic AI are transforming security engineering by automating vulnerability assessments, continuous compliance monitoring, threat detection, incident response, and security orchestration.
The Generative AI & Agentic AI for Security Engineering course equips Security Engineers with practical, hands-on skills to build AI-powered security workflows for modern enterprises. Through live instructor-led sessions, hands-on labs, and real-world projects, you'll learn to automate security assessments, generate compliance frameworks, detect vulnerabilities, respond to threats, orchestrate security operations, and improve your organization's overall security posture.
Automate security assessments & compliance with AI-generated security reports, policies, control matrices, threat models, and gap analysis.
Build AI agents for continuous threat detection that scan vulnerabilities, analyze CVEs, score risks, recommend remediation, and create security tickets.
Automate incident response & compliance monitoring with agents that detect alerts, assess severity, execute containment, generate reports, and track remediation.
Orchestrate enterprise security operations by connecting AI agents with threat intelligence, SIEM, cloud security, endpoint protection, and phishing detection workflows.
Build 3 real-world security projects: Continuous Compliance & Audit, Threat Detection & Response, and Security Assessment & Hardening, targeting 40+ hours/month saved on compliance work, 50%+ faster incident response, and 80%+ reduction in security findings.
Objective: Build 3 Gen AI scripts that automate security assessments and compliance checks.
SECURITY POSTURE ASSESSMENT
Content (Live Coding)
Your Infrastructure/Application → Security Assessment Report
Hands-on Lab
COMPLIANCE & POLICY GENERATION
Content (Live Coding)
Compliance Requirements → Policy & Control Framework
Threat Model → Attack Tree & Defense Strategy
Hands-on Lab
Deliverable: Compliance documentation and threat model
Objective: Build autonomous agents for continuous security monitoring and compliance validation.
THREAT DETECTION AGENTS
Content
Vulnerability Detection Agent
Hands-on Lab
COMPLIANCE & INCIDENT RESPONSE
Content
Compliance Validation Agent
Security Incident Response Agent
Hands-on Lab
Objective: Integrate security agents with SIEM, threat intelligence, and incident management.
THREAT INTELLIGENCE INTEGRATION
Content
Threat Intelligence Agent
Hands-on Lab
SECURITY ORCHESTRATION & RESPONSE
Content
Security Orchestration Agent
Phishing & Social Engineering Detection
Hands-on Lab
Example Projects
Continuous Compliance & Audit
Threat Detection & Response
Security Assessment & Hardening
There is no exam for this program.
Come in comfortable with Python, leave with a working AI security toolkit.
Python for AI (6 hours) must be completed before enrolling, you should be comfortable with functions, loops, variables, and Pandas. A basic understanding of security frameworks, vulnerability management, or compliance is helpful but not required. No OpenAI API experience needed, it’s covered in the course, and ~$10 of API credit covers all hands-on labs.
Total learning path: 18 hours (6 hours Python for AI + 12 hours Security Engineering).
The AI Blueprint course (4 hours) is included as a bonus with enrollment, not required beforehand.
This course gave me practical ways to use AI in security operations. The threat detection, compliance automation, and incident response modules have already helped us improve our security workflows.
One of the most relevant AI courses I’ve attended. Building AI agents for vulnerability management and compliance checks has saved our team hours of manual work every week.
The course goes beyond AI concepts and focuses on solving real cybersecurity challenges. The compliance validation and security orchestration modules were especially valuable for my role.
This course is designed for Security Engineers, Cybersecurity Engineers, SOC Analysts, Cloud Security Engineers, DevSecOps Engineers, Security Architects, and IT professionals who want to leverage Generative AI and Agentic AI to strengthen enterprise cybersecurity.
Yes, Python for AI (6 hours) must be completed before enrolling. A basic understanding of security frameworks, threat modeling, or compliance is helpful but not required; the course is built for practicing Security Engineers, not people new to the field. You’ll also receive the AI Blueprint course free with enrollment — no need to complete it beforehand.
Yes. You’ll complete hands-on projects involving security assessments, compliance automation, vulnerability management, threat detection, incident response, and security orchestration using AI-powered workflows.
You’ll work with Generative AI, Agentic AI, AI-powered vulnerability assessment, threat intelligence, compliance automation, security orchestration, incident response workflows, and enterprise cybersecurity practices.
This is a live, instructor-led, hands-on course focused on building AI-powered security solutions through practical labs, enterprise scenarios, and real-world cybersecurity projects.
Yes. You’ll build AI agents that identify vulnerabilities, monitor security events, automate incident response, generate security reports, and improve security operations across enterprise environments.
Yes. You’ll learn how to automate compliance validation, generate audit-ready reports, assess security controls, identify compliance gaps, and support standards such as HIPAA, PCI-DSS, SOC 2, and ISO 27001.
Yes. Upon successful completion, you’ll receive the AgileFever Certified: Generative AI & Agentic AI for Security Engineering certification.
You’ll be the engineer on your team who can point to deployed AI agents, not just AI awareness, for threat detection, compliance automation, and incident response. As enterprises push security teams to do more with the same headcount, that’s the skill separating engineers who get promoted into AI-security leadership from those who get automated around.
AgileFever delivers live, hands-on training with industry experts, enterprise security use cases, practical labs, and production-ready AI implementation techniques that Security Engineers can apply immediately to strengthen their organization’s cybersecurity posture.