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AI+ Ethical Hacker Practitioner™

Name: AI+ Ethical Hacker Practitioner™
Brand: Learning People
Price: 375.00 GBP
Availability: InStock

The AI+ Ethical Hacker Practitioner™ self-paced learning course by AI CERTs® is a flexible, specialized certification program designed to equip cybersecurity analysts, penetration testers, and IT professionals with practical skills to integrate artificial intelligence into ethical hacking, automated vulnerability assessments, AI-driven reconnaissance, threat hunting, and securing AI models against adversarial attacks.

Course Overview

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 offence and defence 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.

Certification overview:

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

Certificate Duration:

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

Prerequisites: Knowledge of programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies.

Exam Format: 50 questions, 70% passing mark, 90 minutes, online proctored exam

Why this certification matters:

Stay Ahead of Technological Advancements Validates capability in AI 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 defence 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 defence 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 organisations.

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

Tools You'll Master

Acunetix

Wapiti

Nessus

OWASP ZAP

HackerGPT

Cobalt Strike

Shodan

Wazuh

Sumo Logic

YARA Rules

Certification Modules

Module 1: Cybersecurity, Ethical Hacking, and AI Foundations

1.1 Cybersecurity Fundamentals

1.2 Ethical Hacking Fundamentals

1.3 Core Security Frameworks

1.4 AI in Cybersecurity

1.5 Safe and Responsible AI Usage

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

2.1 Networking Fundamentals

2.2 Linux Fundamentals for Ethical Hacking

2.3 Web Application Fundamentals

2.4 Reconnaissance Fundamentals

2.5 AI-Assisted Reconnaissance

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

3.1 Reconnaissance Methodology

3.2 Enumeration Fundamentals

3.3 Cloud Reconnaissance

3.4 API Reconnaissance

3.5 AI for Attack Surface Mapping

Module 4: Vulnerability Assessment and Risk Prioritisation

4.1 Vulnerability Assessment Basics

4.2 Vulnerability Scanning

4.3 Vulnerability Validation

4.4 AI-Assisted Vulnerability Analysis

4.5 Remediation Planning

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

5.1 Penetration Testing Lifecycle

5.2 Web Application Security

5.3 API Security Testing Fundamentals

5.4 Password Security

5.5 Cloud and Container Pentesting Concepts

5.6 AI in Penetration Testing

Module 6: LLM, RAG, and AI Application Security

6.1 LLM Application Architecture

6.2 OWASP LLM Top 10

6.3 Prompt Injection Fundamentals

6.4 RAG Security (Retrieval-Augmented Generation)

6.5 AI Agent Security

6.6 Defensive Controls

Module 7: Machine Learning for Cybersecurity and Adversarial AI

7.1 Machine Learning Fundamentals

7.2 Supervised Learning for Security

7.3 Unsupervised Learning for Security

7.4 Natural Language Processing (NLP) for Cybersecurity

7.5 Adversarial Machine Learning

7.6 Explainable AI (XAI)

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

8.1 Security Operations Centre (SOC)

8.2 Threat Hunting Fundamentals

8.3 Detection Engineering

8.4 AI in the Security Operations Centre (SOC)

8.5 Threat Intelligence

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

9.1 Incident Response Lifecycle

9.2 Incident Classification

9.3 Evidence Handling

9.4 Digital Forensics Basics

9.5 AI-Assisted Incident Response

9.6 AI-Specific Incident Response

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

10.1 Identity and Access Management (IAM) Basics

10.2 Zero Trust Fundamentals

10.3 Privileged Access Management (PAM)

10.4 Non-Human Identity Security

10.5 Cloud Security Fundamentals

10.6 AI Agent Identity Controls

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

11.1 AI Governance Fundamentals

11.2 NIST AI RMF and Generative AI Profile

11.3 Privacy and Compliance

11.4 AI Ethics

11.5 Responsible Disclosure

11.6 AI Security Reporting

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

12.1 Scoping and Rules of Engagement

12.2 Reconnaissance and OSINT

12.3 Vulnerability Assessment

12.4 AI-Assisted Penetration Testing

12.5 LLM and AI Application Security Testing

12.6 Detection Engineering and Threat Hunting

12.7 Incident Response

12.8 Governance and Reporting

Optional Module: AI Agents for Ethical Hacking

1.1 What Are AI Agents?

1.2 Applications and Trends of AI Agents

1.3 The Importance of AI Agents in Ethical Hacking

1.4 How Does an AI Agent Work?

1.5 Characteristics of AI Agents in Ethical Hacking

1.6 Types of AI Agents

Frequently Asked Questions

What core industry problems does the AI+ Ethical Hacker Self Paced Learning V3 training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.