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    All certifications
    AI CERTs®
    AT-220

    AI+ Ethical Hacker Practitioner™

    Protect Digital Landscapes: Harness AI-Enhanced Technologies

    ₹21,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Ethical Hacker Practitioner™ certification badge

    About this certification

    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.

    What's included

    Package

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

    Duration

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

    Exam format

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

    Prerequisites

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

    Course 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

    Why this certification matters

    Stay Ahead of Technological Advancements

    Validates capability in AI is transforming cybersecurity, enabling you to stay at the forefront of evolving threats.

    Bridge the Gap Between AI and Cybersecurity

    Validates competency in combining AI techniques with ethical hacking to improve digital defense strategies.

    Boost Career Opportunities

    Exam includes scenario-based evaluation of AI-driven security methods, validating competency in addressing real-world cyber threats.

    Future-Proof Your Skills

    Validates expertise in AI-powered ethical hacking, positioning you as an expert in a rapidly advancing digital landscape.

    Who should enrol

    Cybersecurity Professionals: Those looking to enhance their skills in proactive defense and AI-driven threat detection. 

    Ethical Hackers: Individuals focused on mastering advanced hacking techniques and staying ahead of emerging cybersecurity threats. 

    Technology Leaders and Decision Makers: Executives and managers aiming to understand how AI and ethical hacking can secure their organizations. 

    Aspiring Students: Learners interested in building a career in cybersecurity, gaining foundational knowledge and practical skills in ethical hacking. 

    Tools you'll work with

    AcunetixAcunetix
    WapitiWapiti
    NessusNessus
    OWASP ZAPOWASP ZAP
    HackerGPTHackerGPT
    Cobalt StrikeCobalt Strike
    ShodanShodan
    WazuhWazuh
    Sumo LogicSumo Logic
    YARA RulesYARA Rules
    AI Security
    AI Technical

    Interested in AI+ Ethical Hacker Practitioner™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.