AI in Cybersecurity & Ethical Hacking
Discover how Artificial Intelligence is transforming cybersecurity and ethical hacking. This course explores AI-powered threat detection, automated defense systems, and ethical hacking techniques used to secure digital environments. Gain practical insights into protecting networks, identifying vulnerabilities, and staying ahead of evolving cyber threats in an AI-driven world.
About Course
This comprehensive cybersecurity course is designed to provide students with the knowledge and skills necessary to protect information systems from cyber threats.
What I will learn?
- Understand cybersecurity fundamentals and ethical hacking principles.
- Use AI to detect and prevent cyber threats, including malware, phishing, and network intrusions.
- Apply machine learning models for anomaly detection, vulnerability assessment, and predictive threat analysis.
- Automate cybersecurity tasks such as monitoring, incident response, and risk assessment using AI tools.
- Perform ethical hacking tasks responsibly with AI-assisted techniques.
- Build real-world AI-powered cybersecurity projects, including threat detection dashboards, phishing classifiers, and automated response systems.
- Understand legal, ethical, and safe practices for AI in cybersecurity.
Course Curriculum
Module 1: Introduction to Cybersecurity & AI
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Overview of cybersecurity concepts
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Types of cyber threats: malware, phishing, ransomware, insider threats
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Introduction to AI in cybersecurity
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Benefits and risks of using AI for defense and attack
Module 2: Fundamentals of Ethical Hacking
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What is ethical hacking?
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Legal and ethical considerations
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Phases of hacking: reconnaissance, scanning, exploitation, reporting
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Introduction to hacking tools
Module 3: AI for Threat Detection
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Role of AI in identifying cyber threats
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Machine learning models for anomaly detection
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AI-powered malware detection
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Real-time threat intelligence and monitoring
Module 4: AI in Network Security
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AI for intrusion detection & prevention systems (IDS/IPS)
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AI in firewall management and monitoring
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Predictive analytics for network attacks
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Case studies of AI in enterprise networks
Module 5: AI in Vulnerability Assessment & Penetration Testing
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AI-assisted vulnerability scanning
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Automating reconnaissance using AI
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Predicting high-risk targets using ML
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Integration with ethical hacking tools (Nmap, Metasploit)
Module 6: AI for Malware & Phishing Detection
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Using ML to classify malware types
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AI for phishing email detection
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AI-powered social engineering detection
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Threat pattern recognition
Module 7: AI for Threat Intelligence & Risk Assessment
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AI-driven cyber risk analysis
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Predictive threat modeling
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Threat scoring & prioritization
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AI dashboards for cybersecurity monitoring
Module 8: AI for Incident Response & Automation
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Automating response to cyber incidents using AI
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AI chatbots for incident triage
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Integration with SIEM tools
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Case study: automated response to ransomware
Module 9: Ethical, Legal & Safe Use of AI in Cybersecurity
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AI bias in cybersecurity
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Privacy, compliance, and data protection
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Responsible deployment of AI tools in ethical hacking
Module 10: Capstone Project
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AI-powered network intrusion detection system
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Phishing email detection & classification system
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AI-assisted vulnerability assessment & prioritization tool
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Automated incident response workflow using AI
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$205.00
$500.00
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LevelIntermediate
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Duration55 hours 45 minutes
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Last UpdatedJanuary 9, 2026
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CertificateCertificate of completion
Hi, Welcome back!
Material Includes
- 1. Video Lessons
- 2. Downloadable Guides & Notes
- 3. Hands-On Labs & Projects
- 4. Datasets & Example Files
- 5. Software & Tool Access
- 6. Quizzes & Assessments
- 7. Capstone Project Resources
- 8. Certification
- 9. Community & Support
Requirements
- Basic computer skills and internet usage
- A laptop or PC with internet access
- Basic IT & networking knowledge (helpful but not mandatory)
- Interest in cybersecurity, ethical hacking, and AI
- Optional but helpful: familiarity with Python or other programming languages
