Certificate in Cybersecurity With AI

Cybersecurity protects digital systems, networks, applications, and data from attack, disruption, and theft. Modern threats now use automation, artificial intelligence, and highly coordinated attack techniques.

This program trains you to defend systems using both traditional cybersecurity principles and AI-powered security operations. You will learn how attacks happen, detect them, stop them, respond and recover hijacked data.

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Introduction
Program Summary
Career Opportunities
Course Content
Requirements


Program Highlights

  • Course Module : Certificate Programs
  • Duration : 5 Months
  • Format :Hybrid (Online/ In- person)
  • Center : All centers

Introduction

Cybersecurity protects digital systems, networks, applications, and data from attack, disruption, and theft. Modern threats now use automation, artificial intelligence, and highly coordinated attack techniques. Organizations worldwide face increasingly sophisticated cyberattacks that traditional security methods alone cannot stop.

This program trains you to defend systems using both traditional cybersecurity principles and AI-powered security operations. You will learn how attacks happen, detect them, stop them, respond and recover hijacked data. The course aligns with global security standards such as CompTIA Security+ concepts while integrating modern AI-driven security tools used in real enterprise environments.

What You Will Learn:

  • Explain core security principles including CIA triad and Zero Trust
  • Identify vulnerabilities in networks, web apps, and mobile systems
  • Perform basic security assessments and risk analysis
  • Analyze real-world malware behavior and detect phishing attacks
  • Use AI tools for log analysis and threat detection
  • Automate security monitoring using scripts and AI prompts
  • Respond to security incidents using structured processes
  • Design layered security architecture for organizations

Program Summary

  • Analyze and resolve security issues in networks and computer systems using both traditional and AI-powered tools
  • Design, develop, and test secure software applications
  • Develop policies and procedures to manage enterprise security risks
  • Implement AI-driven threat detection and automated security monitoring
  • Respond to security incidents using structured frameworks and AI-assisted analysis

This comprehensive program is designed for IT professionals, graduates, application developers, and network administrators who want to build modern cybersecurity skills enhanced with AI capabilities.

Career Opportunities

  • Security Engineer
  • Security Specialist
  • Network Security Manager

Course Content

The program is divided into 5 comprehensive modules covering cybersecurity foundations, threats, security operations, AI integration, and professional practice.

MODULE 1: CYBERSECURITY FOUNDATIONS & SECURITY ARCHITECTURE â–¼
1.1 Information Security Principles
  • Information Systems Security
  • CIA Triad: Confidentiality, Integrity, Availability
  • Non-repudiation
  • CIANA Model
  • Triple A Model - Authentication, Authorization, Accounting
1.2 Security Controls
  • Technical, Managerial, Operational, Physical Controls
  • Preventive, Detective, Corrective Controls
  • Zero Trust Architecture
1.3 Network Security
  • Network architecture & segmentation
  • Firewalls, IDS, IPS
  • VPN, SSL/TLS
  • Wireless security
  • Cryptography fundamentals
  • Encryption vs Hashing
MODULE 2: THREATS, ATTACKS & VULNERABILITIES â–¼
2.1 Threat Actors & Motivations
  • Script kiddies
  • Organized crime
  • Nation-state actors
  • Insider threats
  • APTs (Advanced Persistent Threats)
2.2 Threat Vectors & Attack Surfaces
  • Phishing and spear phishing
  • Social engineering techniques
  • Image-based and file-based attacks
  • Removable device attacks
  • Unsecured network exploitation
2.3 Web Application Security
  • OWASP Top 10
  • SQL Injection
  • Cross-site scripting (XSS)
  • Authentication flaws
  • Secure coding practices
2.4 Malware Analysis
  • Viruses, worms, trojans
  • Ransomware
  • Rootkits
  • Botnets
  • Keyloggers
  • Indicators of compromise
MODULE 3: SECURITY OPERATIONS & INCIDENT RESPONSE â–¼
3.1 Risk Management
  • Risk identification
  • Risk assessment
  • Risk mitigation strategies
  • Business continuity planning
3.2 Incident Response
  • Detection
  • Containment
  • Eradication
  • Recovery
  • Lessons learned
3.3 Security Monitoring
  • SIEM systems
  • Log aggregation
  • Threat intelligence
  • Deception technologies
  • Honeypots
MODULE 4: AI IN CYBERSECURITY â–¼
4.1 Role of AI in Security
  • AI vs automation
  • Machine learning in security
  • Behavior-based detection
  • AI-powered anomaly detection
4.2 AI for Threat Detection
  • AI-driven SIEM
  • Pattern recognition in logs
  • Behavioral analytics
  • Predictive threat modeling
4.3 Prompting & Security Automation
  • Writing prompts for log analysis
  • Automating alert classification
  • AI for vulnerability assessment
  • AI-assisted penetration testing
4.4 AI for Incident Response
  • Automated triage
  • Threat prioritization
  • Security orchestration
  • AI-driven intrusion prevention
MODULE 5: LEGAL, ETHICS & PROFESSIONAL PRACTICE â–¼
  • Cyber laws and compliance
  • Data protection principles
  • Ethical hacking vs malicious hacking
  • Responsible AI use in security
  • Security awareness program design

Eligibility Requirements & Target Audience

Target Audience:

  • IT Graduates
  • Application Developers
  • Network Administrators
  • Anyone interested in cybersecurity careers

Prerequisites:

  • Basic knowledge in Hardware/Networking is recommended
  • Familiarity with computer systems and the internet
    •