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AI+ Ethical Hacker

Length 5 days
Price NZD 4350 exc GST
Inclusions Exam Voucher

Course overview

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Why study this course

The AI+ Ethical Hacker course delves into the intersection of cybersecurity and artificial intelligence, a pivotal juncture in our era of rapid technological progress. Tailored for budding ethical hackers and cybersecurity experts, it offers comprehensive insights into AI's transformative impact on digital offense and defense strategies. Unlike conventional ethical hacking courses, this program harnesses AI's power to enhance cybersecurity approaches. It caters to tech enthusiasts eager to master the fusion of cutting edge AI methods with ethical hacking practices amidst the swiftly evolving digital landscape. The curriculum encompasses four key areas, from course objectives and prerequisites to anticipated job roles and the latest AI technologies in Ethical Hacking.

Exam and certification

This course also prepares students for the AI+ Ethical Hacker certification, and an exam voucher is included with the course.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

This course is designed to teach participants how to:

Integrate AI tools and technologies into cybersecurity practices. This includes using AI for ethical hacking tasks such as reconnaissance, vulnerability assessments, penetration testing, and incident response.
Apply machine learning algorithms to detect unusual patterns and behaviors that may indicate potential security threats. This capability is essential for proactively identifying and mitigating risks before they escalate.
Apply AI to enhance IAM systems, crucial for maintaining secure access to resources within an organisation. This involves using AI to improve authentication processes and manage user permissions more dynamically and securely.
Utilise AI to dynamically adjust and optimise security protocols based on real-time data analysis and threat assessment. Learners will explore how AI algorithms can predict and respond to potential security breaches by automatically tweaking firewall rules, security configurations, and other protective measures.

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Cybersecurity Professionals
Ethical Hackers
Technology Leaders and Decision Makers
Aspiring Students

Course subjects

Module 1: Foundation of Ethical Hacking Using Artificial Intelligence (AI)

Introduction to Ethical Hacking
Ethical Hacking Methodology
Legal and Regulatory Framework

Module 2: Introduction to AI in Ethical Hacking

AI in Ethical Hacking
Fundamentals of AI
AI Technologies Overview

Module 3: AI Tools and Technologies in Ethical Hacking

AI-Based Threat Detection Tools
Machine Learning Frameworks for Ethical Hacking
AI-Enhanced Penetration Testing Tools

Module 4: AI-Driven Reconnaissance Techniques

Introduction to Reconnaissance in Ethical Hacking
Traditional vs. AI-Driven Reconnaissance
Automated OS Fingerprinting with AI

Module 5: AI in Vulnerability Assessment and Penetration Testing

Automated Vulnerability Scanning with AI
AI-Enhanced Penetration Testing Tools
Machine Learning for Exploitation Techniques

Module 6: Machine Learning for Threat Analysis

Supervised Learning for Threat Detection
Unsupervised Learning for Anomaly Detection
Reinforcement Learning for Adaptive Security Measures

Module 7: Behavioral Analysis and Anomaly Detection for System Hacking

Behavioral Biometrics for User Authentication
Machine Learning Models for User Behavior Analysis
Network Traffic Behavioral Analysis

Module 8: AI-Enabled Incident Response Systems

Automated Threat Triage using AI
Machine Learning for Threat Classification
Real-time Threat Intelligence Integration

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

AI-Driven User Authentication Techniques
Behavioral Biometrics for Access Control
AI-Based Anomaly Detection in IAM

Module 10: Securing AI Systems

Adversarial Attacks on AI Models
Secure Model Training Practices
Data Privacy in AI Systems

Module 11: Ethics in AI and Cybersecurity

Ethical Decision-Making in Cybersecurity
Bias and Fairness in AI Algorithms
Transparency and Explainability in AI Systems

Module 12: Capstone Project

Case Study 1: AI-Enhanced Threat Detection and Response
Case Study 2: Ethical Hacking with AI Integration
Case Study 3: AI in Identity and Access Management (IAM)

Prerequisites

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

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.