AI in Cybersecurity

Week 1: Cyber Security Fundamentals

1. Day 01: Introduction to Cyber Security – Concepts, Importance, and Real-World Applications
2. Day 02: Networking Fundamentals – IP Addresses, DNS, HTTP/HTTPS, TCP/IP, and Network Protocols
3. Day 03: Operating System Security – Windows and Linux Security Fundamentals
4. Day 04: Cyber Threat Landscape – Malware, Phishing, Ransomware, and Social Engineering
5. Day 05: Cryptography Fundamentals – Encryption, Decryption, Hashing, and Digital Signatures

Week 2: Security Policies + Ethical Hacking

1. Day 06: Security Policies and Compliance – Access Control, Risk Management, and Security Standards
2. Day 07: Practical Lab – Basic Network Analysis and System Security Assessment in an Authorized Environment
3. Day 08: Introduction to Ethical Hacking – Methodologies, Legal Framework, and Scope of Testing
4. Day 09: Footprinting and Reconnaissance – Passive and Active Information Gathering
5. Day 10: Information Gathering Tools – Nmap, WHOIS, and Other Reconnaissance Tools

Week 3: Vulnerability Assessment + Penetration Testing

1. Day 11: Vulnerability Assessment – Vulnerability Identification, CVEs, and Risk Prioritization
2. Day 12: Web Application Security – OWASP Top 10 and Common Web Vulnerabilities
3. Day 13: Password Security – Password Policies, Hashing, Authentication, and Multi-Factor Authentication
4. Day 14: Practical Lab – Authorized Vulnerability Scanning and Basic Web Application Security Testing
5. Day 15: Network Security – Firewalls, IDS/IPS, VPNs, and Network Monitoring

Week 4: Advanced Cyber Security

1. Day 16: Wireless Security – Wi-Fi Protocols, WPA2/WPA3, and Wireless Network Protection
2. Day 17: Endpoint Security – Antivirus, EDR, System Hardening, and Access Management
3. Day 18: Cloud Security – Cloud Infrastructure, IAM, Data Protection, and Shared Responsibility Model
4. Day 19: Digital Forensics – Evidence Collection, File Analysis, and Forensic Investigation
5. Day 20: Incident Response – Incident Detection, Containment, Eradication, and Recovery

Week 5: Industry-Oriented Cyber Security + AI Applications

1. Day 21: Practical Lab – Network Monitoring, Digital Forensics, and Incident Response Simulation
2. Day 22: Security Operations Center (SOC) – SOC Architecture, Roles, and Security Monitoring
3. Day 23: SIEM and Log Management – Log Analysis, Event Correlation, and Security Alerts
4. Day 24: Threat Intelligence – Threat Feeds, Indicators of Compromise, and Threat Analysis
5. Day 25: Secure Software Development – Secure Coding, Code Review, and DevSecOps Fundamentals

Week 6: AI in Cyber Security + Capstone Project

1. Day 26: Mobile Security – Android/iOS Security, Application Permissions, and Data Protection
2. Day 27: AI in Cyber Security – Machine Learning for Threat Detection, Anomaly Detection, and Phishing Classification
3. Day 28: Cyber Security Project Planning – Problem Identification, Dataset Selection, and Project Workflow
4. Day 29: Capstone Project Development – Model Building, Testing, Evaluation, and Documentation
5. Day 30: Final Project Presentation, Practical Assessment, Course Revision, and Certification