📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI-Powered Cyber Threat Intelligence: Dark Web Analysis & Proactive Defense, from foundations to a certified capstone project.
Outline
Master the CTI lifecycle and intelligence types for strategic decision-making • Identify threat actors and attack vectors including phishing, malware, and APTs • Deploy OSINT tools including WHOIS, Shodan, and Maltego for reconnaissance
Outline
Evaluate open-source, closed-source, and internal data sources for intelligence • Apply passive and active data collection techniques with legal and ethical compliance • Utilize MISP and ThreatConnect platforms for IOC analysis and management
Outline
Implement anomaly detection, pattern recognition, and correlation techniques • Conduct static and dynamic malware analysis for intelligence extraction • Analyze real-world case studies including APT29 and Lazarus Group attribution
Outline
Explore AI/ML applications and algorithms tailored for CTI operations • Build and deploy machine learning models for automated threat detection • Execute practical labs using AI for real-time threat monitoring and alerting
Outline
Navigate and extract intelligence from dark web markets and forums securely • Develop proactive defense strategies based on emerging threat indicators • Integrate dark web intelligence into organizational security frameworks
Outline
Integrate CTI into SIEM and SOAR platforms for automated response workflows • Apply STIX/TAXII standards for intelligence sharing across ISACs and partners • Deliver actionable intelligence reports and recommendations in simulated incident response
Earn government-registered certification in AI-Powered Cyber Threat Intelligence: Dark Web Analysis & Proactive Defense
e-Certificate and e-Marksheet issued on successful completion.
