Recommended Duration: 10–12 Months

Total Training Hours: 300 Hours

Course Level: Beginner to Advanced

Training Method: Theory + Practical Training + Live Projects

MODULE 1: Introduction to Cyber Security (15 Hours)

• Introduction to Cyber Security
• Importance of Information Security
• Types of Cyber Threats
• Cybercrime and Digital Attacks
• CIA Triad: Confidentiality, Integrity and Availability
• Security Policies and Best Practices
• Cyber Security Careers and Industry Overview

MODULE 2: Computer Networks and Internet Security (25 Hours)

• Networking Fundamentals
• LAN, WAN, MAN and Network Topologies
• IP Addressing and Subnetting Basics
• DNS, DHCP, HTTP and HTTPS
• TCP/IP and OSI Models
• Routers, Switches and Firewalls
• VPN and Secure Communication
• Network Security Fundamentals

MODULE 3: Operating System Security (20 Hours)

• Windows Operating System Fundamentals
• Linux Fundamentals and Command Line
• File and Folder Permissions
• User and Account Management
• System Updates and Security Patches
• Process and Service Management
• System Logs and Monitoring
• Basic System Hardening

MODULE 4: Cyber Threats and Vulnerabilities (25 Hours)

• Malware, Viruses, Worms and Trojans
• Ransomware and Spyware Awareness
• Phishing and Social Engineering
• Password Attacks: Concepts and Prevention
• Web-Based Security Threats
• Data Breaches and Identity Theft
• Vulnerability Identification Concepts
• Threat Prevention and Risk Assessment

MODULE 5: Network Security and Protection (25 Hours)

• Network Security Architecture
• Firewall Configuration and Management
• Intrusion Detection Systems (IDS)
• Intrusion Prevention Systems (IPS)
• Secure Network Configuration
• Wireless Network Security
• VPN Configuration Concepts
• Network Traffic Monitoring
• Network Security Best Practices

MODULE 6: Application and Web Security (25 Hours)

• Web Application Security Fundamentals
• Authentication and Authorization
• Session Management
• Secure Coding Principles
• Input Validation and Data Protection
• SQL Injection Awareness and Prevention
• Cross-Site Scripting (XSS) Awareness and Prevention
• Secure API Fundamentals
• OWASP Top 10 Overview

MODULE 7: Artificial Intelligence in Cyber Security (30 Hours)

• Introduction to AI and Machine Learning
• Role of AI in Cyber Security
• AI-Based Threat Detection
• Anomaly Detection Concepts
• AI-Powered Malware Detection
• Phishing and Spam Detection Using AI
• Automated Security Monitoring
• AI-Based Log Analysis
• Generative AI for Security Documentation
• Responsible and Ethical Use of AI Tools

MODULE 8: Security Tools and Monitoring (25 Hours)

• Introduction to Security Tools
• Wireshark for Network Traffic Analysis
• Nmap for Network Discovery in Authorized Environments
• Windows Defender and Security Monitoring
• Firewall Monitoring
• Log Analysis and Event Monitoring
• SIEM Fundamentals
• Security Alerts and Reporting
• Incident Documentation

MODULE 9: Cloud and Data Security (20 Hours)

• Introduction to Cloud Computing
• Cloud Security Fundamentals
• Data Encryption and Decryption Concepts
• Data Backup and Recovery
• Access Control and Identity Management
• Multi-Factor Authentication
• Cloud Data Protection
• Database Security Fundamentals
• Data Privacy and Compliance Awareness

MODULE 10: Incident Response and Risk Management (20 Hours)

• Introduction to Incident Response
• Security Incident Identification
• Incident Classification and Reporting
• Incident Handling Procedures
• Risk Assessment and Management
• Disaster Recovery Planning
• Business Continuity Fundamentals
• Security Audit and Documentation

MODULE 11: Practical Training and Live Projects (40 Hours)

• Network Security Monitoring Project
• Phishing Email Awareness and Detection Project
• AI-Based Spam Classification Project
• Security Log Analysis Project
• Password Security Awareness Project
• Basic Vulnerability Assessment in an Authorized Lab
• Cyber Security Risk Assessment Report
• Final Capstone Project

MODULE 12: Professional Development and Career Preparation (10 Hours)

• Cyber Security Resume Preparation
• Technical Interview Preparation
• Security Documentation and Reporting
• Industry Standards and Best Practices
• Career Guidance and Professional Development

PRACTICAL PROJECTS

1. AI-Based Phishing Email Detection
2. Network Traffic Monitoring and Analysis
3. Security Log Analysis Dashboard
4. AI-Based Spam Detection System
5. Cyber Security Risk Assessment
6. Final Cyber Security Capstone Project

SOFTWARE AND TOOLS

• Kali Linux (for authorized defensive lab learning)
• Windows Security
• Wireshark
• Nmap
• Python
• Jupyter Notebook
• Machine Learning Libraries
• SIEM Platforms
• AI-Based Security Tools

LEARNING OUTCOMES

After completing the course, students will be able to:

• Understand modern cyber threats and security risks.
• Apply basic network and system security practices.
• Monitor and analyze security events.
• Use AI concepts for threat detection and analysis.
• Understand application, cloud and data security.
• Prepare security reports and incident documentation.
• Work on practical cyber security projects.