AI+ Ethical Hacker Practitioner™

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.

Overview What You'll Learn Certification Modules Certificate Industry Opportunities FAQ Prerequisites Exam Details Exam Blueprint

At a Glance: Course + Exam Overview

Category	AI Security, All Courses, Available Now
Program Name	AI+ Ethical Hacker Practitioner™
Duration	Instructor-Led:5 days (live or virtual) \| Self-Paced:40 hours of content
Prerequisites	Programming Proficiency: Knowledge of Python, Java, C++, etc. for automation and scripting. Networking Fundamentals: Understanding of networking protocols, subnetting, firewalls, and routing. Cybersecurity Basics: Familiarity with fundamental cybersecurity concepts, including encryption, authentication, access controls, and security protocols. Operating Systems Knowledge: Proficiency in using Windows and Linux operating systems. ML Basics: Understanding of ML concepts, algorithms, and basic implementation. Web Technologies: Understanding of web technologies, including HTTP/HTTPS protocols, and web servers.
Exam Format	50 questions, 70% passing, 90 minutes, online proctored exam

Certification 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.

Finish the course and get certified

Industry Opportunities

Ethical Hacker

Identify security weaknesses through authorized penetration testing and help organizations strengthen their cyber defenses.

Penetration Tester

Simulate real-world cyberattacks to uncover vulnerabilities in applications, networks, and systems before attackers do.

Vulnerability Assessment Analyst

Assess systems for security vulnerabilities, prioritize risks, and recommend effective remediation strategies.

Cybersecurity Analyst

Monitor security events, analyze threats, and implement security measures to protect enterprise and AI-driven environments.

Web Application Security Tester

Evaluate web applications for security flaws and ensure they are resilient against common cyber threats and attacks.

Red Team Associate

Conduct adversarial security exercises to test organizational defenses and improve incident detection and response capabilities.

AI Security Testing Associate

Assess AI models and AI-powered applications for security vulnerabilities, adversarial threats, and responsible AI implementation.

Frequently Asked Questions

What skills will learners develop through this certification?

What topics are covered in the AI+ Ethical Hacker Practitioner program?

What knowledge is recommended before starting this certification

What type of practical experience does the course provide?

What is the format of the certification exam?

Prerequisites

Programming Proficiency: Knowledge of Python, Java, C++, etc. for automation and scripting.
Networking Fundamentals: Understanding of networking protocols, subnetting, firewalls, and routing.
Cybersecurity Basics: Familiarity with fundamental cybersecurity concepts, including encryption, authentication, access controls, and security protocols.
Operating Systems Knowledge: Proficiency in using Windows and Linux operating systems.
ML Basics: Understanding of ML concepts, algorithms, and basic implementation.
Web Technologies: Understanding of web technologies, including HTTP/HTTPS protocols, and web servers.

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Foundation of Ethical Hacking Using Artificial Intelligence (AI): 5%

Introduction to AI in Ethical Hacking: 9%

AI Tools and Technologies in Ethical Hacking: 9%

AI-Driven Reconnaissance Techniques: 9%

AI in Vulnerability Assessment and Penetration Testing: 9%

Machine Learning for Threat Analysis: 9%

Behavioral Analysis and Anomaly Detection for System Hacking: 9%

AI Enabled Incident Response Systems: 9%

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

Securing AI Systems: 9%

Ethics in AI and Cybersecurity: 9%

Capstone Project: 5%

Self-Paced Online

Self-Paced Online: 40 hours of content

Price: $195

Instructor-Led Online

Instructor-Led Online: 5 days (live or virtual)

Core AI Tools Covered

Acunetix
Wapiti
Nessus
OWASP ZAP
HackerGPT
Cobalt Strike
Shodan
Wazuh
Sumo Logic
YARA Rules