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Introduction

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.

Subjects Covered

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.

Course duration

Duration: 2 month

Total Sessions: 30

Course Fees

For all fee-related enquiries, our team is here to assist you with clear and accurate information. Please feel free to contact us on 07407 601786 or 07438 642401, or email us at admin@technioonline.co.uk. We are committed to responding promptly and ensuring you have all the details you need.

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