GPMS TRANSPORTAL APPLIED AI COURSES

Course 55 - AI Cyber Security: Defending Digital Assets with AI

Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)

• This course explores how AI can enhance cyber security by automating threat detection, identifying vulnerabilities, and responding to security incidents. it is designed for cybersecurity professionals looking to leverage AI to bolster defense mechanisms.
• Level: Intermediate
• Prerequisites: Basic knowledge of cyber security principles
• Assessments: Weekly micro-assessments, final project.

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Week 1 - Introduction to AI in Cyber Security

Learning Outcome

Understand the role of AI in modern cyber defense strategies.

1.1 Overview of AI in threat detection, analysis, and response.
1.2 The role of machine learning in identifying anomalies and patterns.
1.3 Benefits of using AI for automating incident response and improving security.

Practical Component

Implement an AI-based system for detecting basic security threats.

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Week 2 - AI for Malware Detection and Prevention

Learning Outcome

Learn how AI detects and mitigates malware threats.

2.1 Using AI to detect known and unknown malware variants.
2.2 Machine learning for predictive malware detection.
2.3 AI tools for preventing malware infections.

Practical Component

Develop an AI-powered malware detection tool.

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Week 3 - AI for Network Security and Intrusion Detection

Learning Outcome

Explore AI role in securing networks and detecting intrusions.

3.1 AI for monitoring network traffic and detecting unusual patterns.
3.2 Using AI for real-time intrusion detection and prevention.
3.3 AI tools for automating response to security incidents.

Practical Component

Implement an AI-based intrusion detection system for network security.

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Week 4 - AI for Vulnerability Management and Risk Assessment

Learning Outcome

Learn how AI helps identify vulnerabilities and assess risks in systems

4.1 AI-powered vulnerability scanning and assessment.All Rights Reserved
4.2 Using machine learning to assess risk levels and predict potential security breaches.
4.3 Automating vulnerability management with AI tools.

Practical Component

Build an AI-powered system for identifying and managing security vulnerabilities.

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Week 5 - AI for Behavioral Analytics and User Authentication

Learning Outcome

Discover how AI enhances user authentication and identifies suspicious behavior.

5.1 Using AI to analyze user behavior and detect anomalies.
5.2 AI for secure authentication: Biometrics and multi-factor authentication.
5.3 Machine learning for identity fraud detection.

Practical Component

Create an AI-powered behavioral analytics system for monitoring user.

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Week 6 - Capstone Project: AI-Driven Cyber Security Solution

Learning Outcome

Apply AI techniques to develop a complete cyber security solution.

6.1 Design and implement an AI-based cyber security solution for a real-world scenario.
6.2 Peer review and feedback.
6.3 Final project presentation and evaluation.

Practical Component

Present an AI-driven cyber security system designed to protect digital assets.

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