Aim

This program aims to equip participants with the skills to apply artificial intelligence (AI) in ethical hacking and cybersecurity. Professionals will learn how to use AI tools to identify, analyze, and mitigate security threats, while also safeguarding AI systems from cyber-attacks.

Program Objectives

Master Ethical Hacking with AI: Understand and enhance traditional hacking techniques with AI-driven tools.
Identify and Mitigate AI Vulnerabilities: Learn to pinpoint and address security risks in AI models.
AI-Driven Security Testing: Apply AI-powered techniques for vulnerability assessments and penetration testing.
Build Secure AI Systems: Develop robust security frameworks that protect AI systems from attacks.
Gain Hands-on Experience: Engage in real-world cybersecurity challenges using AI.

Program Structure

Module 1: Introduction to Ethical Hacking and AI Security

Overview of Cybersecurity: Basics of cybersecurity and the role of ethical hacking.
AI in Cybersecurity: Explore how AI enhances security and the potential risks.

Module 2: Legal and Ethical Frameworks

Cybersecurity Laws: Understand global cybersecurity regulations.
AI Ethics: Learn about ethical issues surrounding AI in security.

Module 3: AI-Driven Threat Detection

AI for Threat Detection: Explore machine learning algorithms for detecting cyber threats.
Intrusion Detection Systems (IDS): Implement AI-enhanced IDS for real-time detection.

Module 4: Penetration Testing with AI

Pen Testing Basics: Introduction to penetration testing methodologies.
AI-Enhanced Pen Testing: Automate penetration testing with AI tools.

Module 5: Exploiting Vulnerabilities in AI Systems

AI Vulnerabilities: Learn about adversarial attacks and model stealing.
Defending AI Systems: Explore defenses against evasion and poisoning attacks.

Module 6: AI for Phishing Detection and Prevention

Phishing Detection with AI: Implement machine learning models to detect and prevent phishing attacks.

Module 7: Adversarial Machine Learning

Adversarial Attacks: Understand how adversarial attacks work and how to defend against them.

Module 8: AI for Securing IoT and Smart Devices

AI in IoT Security: Explore AI-driven solutions for securing IoT networks.

Module 9: AI in Network Security and Traffic Analysis

AI for Network Monitoring: Analyze network traffic using AI tools for real-time threat detection.

Module 10: Privacy and AI Security

Data Privacy in AI: Learn techniques like homomorphic encryption and differential privacy for secure AI models.

Module 11: Blockchain and AI for Cybersecurity

AI and Blockchain: Explore how AI and blockchain can work together to enhance cybersecurity.

Module 12: Defending AI Models Against Attacks

AI Model Security: Learn best practices for building secure AI models and continuous monitoring.

Module 13: Final Project

Comprehensive Assessment: Conduct a full-scale AI penetration test and develop AI-based security solutions.

Participant’s Eligibility

Cybersecurity Professionals: Those looking to enhance their skills with AI-driven security tools.
AI Engineers: Professionals working on AI systems who want to ensure security.
Ethical Hackers and Security Analysts: Individuals seeking to apply AI in hacking and cybersecurity.

Program Outcomes

AI-Enhanced Ethical Hacking: Gain expertise in applying AI to ethical hacking and cybersecurity.
Vulnerability Identification: Learn to identify and mitigate vulnerabilities in AI models.
AI-Driven Threat Detection: Develop skills in AI-powered threat detection and penetration testing.
Secure AI Development: Build and protect AI systems against adversarial and cyber attacks.

Program Deliverables

Access to e-LMS: Full access to all course materials online.
Real-Time Projects: Hands-on projects with mentorship.
Project Guidance: Professional guidance for your projects and dissertation.
Paper Publication Opportunity: Help with publishing research papers.
Self-Assessment Tools: Tools for tracking your progress.
Final Examination: Certification based on performance in assignments and exams.
e-Certification and e-Marksheet: Digital certificates upon successful completion.

Future Career Prospects

AI Security Analyst: Specialize in using AI tools to analyze and secure systems.
Ethical Hacker with AI Expertise: Combine ethical hacking with AI for stronger security measures.
AI Penetration Tester: Apply AI techniques to automate and improve penetration testing.
Cybersecurity Engineer: Focus on integrating AI into cybersecurity defenses.
AI Risk and Compliance Manager: Ensure that AI systems comply with security regulations.
Cybersecurity Consultant: Advise organizations on using AI to strengthen their security infrastructure.

Job Opportunities

Cybersecurity Companies: Firms focused on AI-enhanced security solutions.
Startups: Companies developing AI-powered cybersecurity products.
Government and Financial Institutions: Agencies implementing AI-driven security protocols.

MODE	Online/ e-LMS
TYPE	Mentor Based
LEVEL	Moderate
DURATION	3 weeks

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Aim

Program Objectives

Program Structure