AI+

Ethical Hacker TM

CERTIFICATION NUMBER: 1100ABCD

The AI+ Ethical Hacker certificate delves into the intersection of cybersecurity and artificial intelligence, a pivotal juncture in our era of rapid technological progress. Tailored for budding ethical hackers and cubersecurity experts, it offers comprehensive insights into AI's transformative impact on digital offense and defence strategies. Unlike conventional ethical hacking courses, this program harness AI's power to enhance cyber security approaches.It caters to reach enthusiasts eager to master the fusion of cutting-edge AI methods with ethical hacking practices amidst the swiftly evolving digital landscape. The curriculum encompasses four key areas, from course objectives and prerequisites to anticipated job roles and the latest AI technologies in Ethical Hacking

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Prerequesites

Exam Details

Module

12

Examination

1

50 MCQs

90 Minutes

Passing Score

70%

Certification Modules

Module 1: Foundation of Ethical Hacking Using Artificial Intelligence (AI)

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 2: Introduction to AI in Ethical Hacking

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 3: AI Tools and Technologies in Ethical Hacking

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 4: AI-Driven Reconnaissance Techniques

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 5: AI in Vulnerability Assessment and Penetration Testing

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 6: Machine Learnning for Threat Analysis

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 7: Behavioral Analysis and Anomaly Detection for System Hacking

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

Module 8: AI Enabled Incident Response Systems

Introduction to Ethical Hacking, Ethical Hacking Methodology, Legal and Regulatory Framework, Hacker Types and Motivations, Information Gathering Techniques, Footprinting and Reconnaissance, Scanning Networks, Enumeration Techniques,

What will you learn ?

AI- Integrated Cybersecurity Techniques

Learners will develop the ability to integrate AI tools and technologies into cybersecurity practices. This includes using AI for ethical hacking tasks such as reconnaissance, vulnerability assessments, penetration testing, and incident response.

Threat Analysis and Anomoly Detection

Students will gain skills in applying machine learning algorithms to detect unusual patterns and behaviors that indicate potential security threats. This skill is crucial for preemptively identifying and mitigating risks before.

Automated Security Protocol Optimization

Students will be equipped to utilize AI to dynamically adjust and optimize security protocols based on real-time data analysis and threat assessment. Learners will explore how AI algorithms can predict and respond to potential security breaches by automatically tweaking firewall rules, security configurations, and other protective measures.

AI for Identity and Access Management (IAM)

Learners will understand how to apply AI to enhance IAM systems, crucial for maintaining secure access to resources within an organization. This involves using AI to improve authentication processes and manage user permissions more dynamically and securely.

Industry Opportunities after Course Completion