Cyber Security has become a critical discipline in today’s digitally connected world, where organizations face constant threats from cyberattacks, data breaches, malware, and advanced persistent threats. With the rapid growth of data, cloud computing, and connected systems, traditional security approaches are no longer sufficient on their own. This course is designed to provide a strong foundation in Cyber Security concepts, tools, and practices, while also integrating Artificial Intelligence (AI) and Machine Learning methods to detect, prevent, and respond to modern cyber threats.
The program covers the complete cyber security lifecycle—from understanding threats and vulnerabilities to securing networks, applications, and data. Learners will gain hands-on exposure to security mechanisms, ethical hacking concepts, incident response, and compliance standards. In addition, the course introduces AI-driven cyber security techniques, such as anomaly detection, intrusion detection systems, malware analysis, and automated threat intelligence.
By the end of session, participants will be equipped with both traditional cyber security skills and modern AI-based defensive techniques, enabling them to protect systems effectively and adapt to evolving cyber threats.
Cyber Security (Including AI Methods) – 30 Sessions Curriculum
1: Cyber Security Foundations
Introduction to Cyber Security and Cyber Threat Landscape
CIA Triad, Security Principles, and Risk Management
Types of Cyber Attacks (Malware, Phishing, DoS, Ransomware)
Cyber Laws, Ethics, and Compliance Standards (GDPR, ISO, HIPAA)
2: Networking and System Security
Basics of Computer Networks for Security
Network Attacks and Defense Mechanisms
Firewalls, IDS, IPS, and SIEM Overview
Operating System Security (Windows & Linux)
3: Application and Data Security
Web Application Security and OWASP Top 10
Secure Coding Practices and Vulnerability Assessment
Cryptography Basics (Encryption, Hashing, Digital Signatures)
Data Security, Backup, and Disaster Recovery
4: Ethical Hacking & Incident Response
Introduction to Ethical Hacking and Penetration Testing
Reconnaissance, Scanning, and Enumeration Techniques
Exploitation Concepts and Post-Exploitation
Incident Response, Digital Forensics, and Log Analysis
5: Cloud & Modern Infrastructure Security
Cloud Security Fundamentals (AWS, Azure, GCP)
Container and DevSecOps Security
Identity and Access Management (IAM)
Zero Trust Architecture and Endpoint Security
6: AI & Machine Learning in Cyber Security
Introduction to AI and ML for Cyber Security
Data Collection and Feature Engineering for Security
Anomaly Detection using Machine Learning
Intrusion Detection Systems using ML
7: Advanced AI-Based Security Applications
Malware Detection using Machine Learning
Phishing and Spam Detection using AI
Threat Intelligence and Automated Response Systems
Adversarial Attacks and AI Security Challenges
8: Practical Implementation & Projects
Building an AI-based Cyber Security Use Case
Capstone Project, Case Studies, and Future Trends in Cyber Security
This course is ideal for students, IT professionals, and security enthusiasts who want a comprehensive and future-ready understanding of Cyber Security enhanced with AI techniques.
Duration: 2 month
Total Sessions: 30
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