AI+ Ethical Hacker Practitioner™

USD$700.00 (GST excl.)

Formerly known as AI+ Ethical Hacker™

Protect Digital Landscapes: Harness AI-Enhanced Technologies

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.

For more information, see below
Duration
Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content
Format
Online, self-paced
Exam
50 questions, 70% passing, 90 minutes, online proctored exam

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 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.

Prerequisites

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

What you’ll learn

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. 

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.

Tools you’ll use

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

Learning Modules

12 modules

1Module 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. 
2Module 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. 
3Module 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. 
4Module 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. 
5Module 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. 
6Module 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. 
7Module 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. 
8Module 8: AI Enabled Incident Response Systems
You will learn AI-powered threat triage, incident classification, predictive analytics, threat intelligence integration, and automated response techniques. 
9Module 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. 
10Module 10: Securing AI Systems
You will learn AI system protection, adversarial attack defense, secure model training, data privacy, explainability, monitoring, and AI security architecture. 
11Module 11: Ethics in AI and Cybersecurity
You will learn ethical AI practices, privacy protection, fairness, transparency, explainability, AI bias management, and cybersecurity compliance principles. 
12Module 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. 
Format

Online, self-paced

Duration

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

Exam

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

Included

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

Prerequisites

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

Delivery

Projects & case studies

Outcome

Industry-recognized credential + hands-on experience

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