AI+ Ethical Hacker Practitioner™

Formerly known as AI+ Ethical Hacker™ <br> <br> Protect Digital Landscapes: Harness AI-Enhanced Technologies

Certificate Code: AT-220

About This Course

The AI+ Ethical Hacker Practitioner™ certification validates knowledge of the intersection of cybersecurity and artificial intelligence, a pivotal juncture in an era of rapid technological progress. Designed for cybersecurity professionals and ethical hacking practitioners, it assesses comprehensive knowledge of AI’s impact on digital offense and defense strategies. Unlike conventional ethical hacking certifications, this certification validates competency in applying AI techniques to enhance cybersecurity approaches. It is intended for professionals seeking to validate expertise in the integration of advanced AI methods with ethical hacking practices in a rapidly evolving digital landscape.

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

Programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies knowledge.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

Module 1: Foundation of Ethical Hacking Using AI

You will learn ethical hacking fundamentals, reconnaissance, scanning, penetration testing, hacking phases, legal compliance, and responsible cybersecurity practices.

Module 2: Introduction to AI in Ethical Hacking

You will learn the role of ethical hacking in cybersecurity, AI applications, penetration testing practices, compliance requirements, and risk management approaches.

Module 3: AI Tools and Technologies in Ethical Hacking

You will explore AI-based threat detection, machine learning frameworks, behavioral analytics, predictive analysis, anomaly detection, and automated vulnerability identification.

Module 4: AI-Driven Reconnaissance Techniques

You will learn AI-powered OSINT, network scanning, vulnerability discovery, social engineering detection, and ML-based analysis of open-source intelligence.

Module 5: AI in Vulnerability Assessment and Penetration Testing

You will learn AI-enhanced vulnerability scanning, penetration testing, threat prioritization, DAST, fuzz testing, risk modeling, and automated security reporting.

Module 6: Machine Learning for Threat Analysis

You will explore supervised, unsupervised, and reinforcement learning, NLP for threat intelligence, feature engineering, ensemble learning, and explainable AI.

Module 7: Behavioral Analysis and Anomaly Detection for System Hacking

You will learn behavioral biometrics, user behavior analytics, network monitoring, endpoint analysis, anomaly detection, and AI-driven threat hunting.

Module 8: AI Enabled Incident Response Systems

You will learn AI-powered threat triage, incident classification, predictive analytics, threat intelligence integration, and automated response techniques.

Module 9: AI for Identity and Access Management (IAM)

You will explore AI-based authentication, biometric security, anomaly detection, dynamic access controls, and privacy considerations in IAM.

Module 10: Securing AI Systems

You will learn AI system protection, adversarial attack defense, secure model training, data privacy, explainability, monitoring, and AI security architecture.

Module 11: Ethics in AI and Cybersecurity

You will learn ethical AI practices, privacy protection, fairness, transparency, explainability, AI bias management, and cybersecurity compliance principles.

Module 12: Capstone Project

You will apply AI cybersecurity concepts through real-world case studies covering threat detection, vulnerability assessment, penetration testing, IAM, and encryption security.