Advanced Cybersecurity with Generative AI
This Cybersecurity with Generative AI course is designed to provide students and professionals with a strong foundation in security principles, modern DevSecOps practices, and hands-on labs using open-source tools. Learners will explore how Generative AI (GenAI) is transforming threat detection, vulnerability management, and security automation.
Through six structured modules, students will gain knowledge from fundamentals to advanced security operations, with real-world projects and labs that simulate enterprise security challenges. By the end of this course, learners will be able to implement secure DevOps pipelines, use AI-powered security tools, and build defense strategies against evolving cyber threats.
Course Curriculum
Module 1: Foundations of Cybersecurity
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Introduction to Cybersecurity: CIA Triad (Confidentiality, Integrity, Availability)
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Threats, Vulnerabilities & Attacks
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Security Policies & Compliance (ISO 27001, NIST, GDPR)
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Cryptography Basics (Symmetric, Asymmetric, Hashing)
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Case Studies: Major Security Breaches
Module 2: Generative AI in Cybersecurity
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Overview of AI & Generative AI
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AI in Threat Detection & Malware Analysis
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Building AI-powered Intrusion Detection Systems
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Generating Attack Simulations with AI
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Ethics of AI in Security
Module 3: DevOps to DevSecOps
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DevOps Fundamentals
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Integrating Security into CI/CD pipelines
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Container Security (Docker, Kubernetes)
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Secrets Management & Vaults
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Hands-on: Secure Jenkins/GitLab CI Pipeline
Module 4: Security Labs (Open Source Tools)
Practical hands-on labs using open-source security tools
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Network Security: Wireshark, Nmap, Snort
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Web Security: OWASP ZAP, Burp Suite (Community Edition)
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Forensics: Autopsy, Volatility
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SIEM: Wazuh, ELK Stack
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Threat Hunting with AI: OpenAI API, HuggingFace Models
Module 5: Cloud & Application Security
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Cloud Security Fundamentals (AWS, Azure, GCP)
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IAM & Zero Trust Security
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API Security & Testing
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Secure Coding Practices (Python, Java)
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Hands-on: Serverless Security Labs
Module 6: Capstone Project & Career Path
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Security Automation with AI & Python
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Designing a Secure Enterprise Architecture
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Capstone Project:
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AI-driven Threat Detection System OR
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Secure CI/CD pipeline with monitoring & alerting
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Career Guidance: Cybersecurity Analyst, DevSecOps Engineer, Security Architect
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Certifications Roadmap: CEH, Security+, OSCP, CKA Security
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Students Reviews
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