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    • 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.
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    AI+ Ethical Hacker Practitioner™
    Price: USD $495.00

    At a Glance: Course + Exam Overview

    Category AI Security
    AI Technical
    Program Name AI+ Ethical Hacker Practitioner™
    Prerequisites
      • Programming and Scripting Knowledge: Basic Python, Java, or C++ knowledge for security automation
      • Networking Fundamentals: Understanding of protocols, subnetting, firewalls, routing, and network traffic
      • Cybersecurity Fundamentals: Familiarity with threats, vulnerabilities, encryption, authentication, and access controls
      • Systems and Web Technologies: Basic knowledge of Windows, Linux, HTTP/HTTPS, and web servers
      • AI and Machine Learning Awareness: Understanding of basic algorithms, models, and anomaly detection concepts
    Exam Format 90 minutes

    What You'll Learn

    Certification Modules

    Module 1: Cybersecurity, Ethical Hacking, and AI Foundations

    1. 1.1 Cybersecurity Fundamentals
    2. 1.2 Ethical Hacking Fundamentals
    3. 1.3 Core Security Frameworks
    4. 1.4 AI in Cybersecurity
    5. 1.5 Safe and Responsible AI Usage

    Module 2: Networking, Linux, Web Technologies, and Reconnaissance Fundamentals

    1. 2.1 Networking Fundamentals
    2. 2.2 Linux Fundamentals for Ethical Hacking
    3. 2.3 Web Application Fundamentals
    4. 2.4 Reconnaissance Fundamentals
    5. 2.5 AI-Assisted Reconnaissance

    Module 3: AI-Enhanced Reconnaissance, Enumeration, and Attack Surface Mapping

    1. 3.1 Reconnaissance Methodology
    2. 3.2 Enumeration Fundamentals
    3. 3.3 Cloud Reconnaissance
    4. 3.4 API Reconnaissance
    5. 3.5 AI for Attack Surface Mapping

    Module 4: Vulnerability Assessment and Risk Prioritization

    1. 4.1 Vulnerability Assessment Basics
    2. 4.2 Vulnerability Scanning
    3. 4.3 Vulnerability Validation
    4. 4.4 AI-Assisted Vulnerability Analysis
    5. 4.5 Remediation Planning

    Module 5: AI-Assisted Penetration Testing: Web, API, Password, Cloud, and AI Application Security

    1. 5.1 Penetration Testing Lifecycle
    2. 5.2 Web Application Security
    3. 5.3 API Security Testing Fundamentals
    4. 5.4 Password Security
    5. 5.5 Cloud and Container Pentesting Concepts
    6. 5.6 AI in Penetration Testing

    Module 6: LLM, RAG, and AI Application Security

    1. 6.1 LLM Application Architecture
    2. 6.2 OWASP LLM Top 10
    3. 6.3 Prompt Injection Fundamentals
    4. 6.4 RAG Security (Retrieval-Augmented Generation)
    5. 6.5 AI Agent Security
    6. 6.6 Defensive Controls

    Module 7: Machine Learning for Cybersecurity and Adversarial AI

    1. 7.1 Machine Learning Fundamentals
    2. 7.2 Supervised Learning for Security
    3. 7.3 Unsupervised Learning for Security
    4. 7.4 Natural Language Processing (NLP) for Cybersecurity
    5. 7.5 Adversarial Machine Learning
    6. 7.6 Explainable AI (XAI)

    Module 8: Threat Hunting, Detection Engineering, and AI-Driven SOC Operations

    1. 8.1 Security Operations Center (SOC)
    2. 8.2 Threat Hunting Fundamentals
    3. 8.3 Detection Engineering
    4. 8.4 AI in the Security Operations Center (SOC)
    5. 8.5 Threat Intelligence

    Module 9: Incident Response, Digital Forensics, and AI-Assisted Investigations

    1. 9.1 Incident Response Lifecycle
    2. 9.2 Incident Classification
    3. 9.3 Evidence Handling
    4. 9.4 Digital Forensics Basics
    5. 9.5 AI-Assisted Incident Response
    6. 9.6 AI-Specific Incident Response

    Module 10: Identity Security, Zero Trust, Cloud Security, and Non-Human Identity

    1. 10.1 Identity and Access Management (IAM) Basics
    2. 10.2 Zero Trust Fundamentals
    3. 10.3 Privileged Access Management (PAM)
    4. 10.4 Non-Human Identity Security
    5. 10.5 Cloud Security Fundamentals
    6. 10.6 AI Agent Identity Controls

    Module 11: AI Governance, Compliance, Risk Management, and Responsible Disclosure

    1. 11.1 AI Governance Fundamentals
    2. 11.2 NIST AI RMF and Generative AI Profile
    3. 11.3 Privacy and Compliance
    4. 11.4 AI Ethics
    5. 11.5 Responsible Disclosure
    6. 11.6 AI Security Reporting

    Module 12: Capstone Project - End-to-End AI-Assisted Ethical Hacking and Defense Engagement

    1. 12.1 Scoping and Rules of Engagement
    2. 12.2 Reconnaissance and OSINT
    3. 12.3 Vulnerability Assessment
    4. 12.4 AI-Assisted Penetration Testing
    5. 12.5 LLM and AI Application Security Testing
    6. 12.6 Detection Engineering and Threat Hunting
    7. 12.7 Incident Response
    8. 12.8 Governance and Reporting

    Optional Module: AI Agents for Ethical Hacking

    1. 1.1 What Are AI Agents?
    2. 1.2 Applications and Trends of AI Agents
    3. 1.3 The Importance of AI Agents in Ethical Hacking
    4. 1.4 How Does an AI Agent Work?
    5. 1.5 Characteristics of AI Agents in Ethical Hacking
    6. 1.6 Types of AI Agents

    Finish the course and get certified

    Certificate 1

    Industry Opportunities

    • Ethical Hacker
      Ethical Hacker
      Identify security weaknesses through authorized penetration testing and help organizations strengthen their cyber defenses.
    • Penetration Tester
      Penetration Tester
      Simulate real-world cyberattacks to uncover vulnerabilities in applications, networks, and systems before attackers do.
    • Vulnerability Assessment Analyst
      Vulnerability Assessment Analyst
      Assess systems for security vulnerabilities, prioritize risks, and recommend effective remediation strategies.
    • Cybersecurity Analyst
      Cybersecurity Analyst
      Monitor security events, analyze threats, and implement security measures to protect enterprise and AI-driven environments.
    • Web Application Security Tester
      Web Application Security Tester
      Evaluate web applications for security flaws and ensure they are resilient against common cyber threats and attacks.
    • Red Team Associate
      Red Team Associate
      Conduct adversarial security exercises to test organizational defenses and improve incident detection and response capabilities.
    • AI Security Testing Associate
      AI Security Testing Associate
      Assess AI models and AI-powered applications for security vulnerabilities, adversarial threats, and responsible AI implementation.

    Frequently Asked Questions

    Learners will gain skills in ethical hacking, penetration testing, vulnerability assessment, threat detection, and cyber defense.

    The program covers security testing, reconnaissance, vulnerability management, threat modeling, incident response, and responsible hacking practices.

    Learners should have knowledge of programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies.

    Learners gain hands-on experience through projects and case studies focused on ethical hacking and security assessments.

    The exam includes 50 questions, requires a 70% passing score, and has a 90-minute online proctored format.

    Prerequisites

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    Exam Details

    Duration

    90 minutes

    Format

    50 multiple-choice/multiple-response questions

    Exam Blueprint

    Cybersecurity, Ethical Hacking, and AI Foundations 5%
    Networking, Linux, Web Technologies, and Reconnaissance Fundamentals 9%
    AI-Enhanced Reconnaissance, Enumeration, and Attack Surface Mapping 9%
    Vulnerability Assessment and Risk Prioritization 9%
    AI-Assisted Penetration Testing: Web, API, Password, Cloud, and AI Application Security 9%
    LLM, RAG, and AI Application Security 9%
    Machine Learning for Cybersecurity and Adversarial AI 9%
    Threat Hunting, Detection Engineering, and AI-Driven SOC Operations 9%
    Incident Response, Digital Forensics, and AI-Assisted Investigations 8%
    Identity Security, Zero Trust, Cloud Security, and Non-Human Identity 8%
    AI Governance, Compliance, Risk Management, and Responsible Disclosure 8%
    Capstone Project - End-to-End AI-Assisted Ethical Hacking and Defense Engagement 8%
    Course Price: USD $495.00
    Self-Paced Online
    Purchase Self-Paced Course
    Instructor-Led (Live Virtual/Classroom)