AI+ Ethical Hacker Practitioner™
- Price 279 EUR + VAT
- E-learning Start any time
- Duration 40 hours of content, self-paced
- Language English
- Topic AI Security
How you can take it
- E-learning Start any time · 279 EUR + VAT Order
- Open course Not available in this format
- Private in-house Any of our courses for your team Request a quote
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
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.
Audience
Who is it for
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.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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 Prioritization
- 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 Center (SOC)
- 8.2 Threat Hunting Fundamentals
- 8.3 Detection Engineering
- 8.4 AI in the Security Operations Center (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 Defense 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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
Related courses
You may also like
AI+ Ethical Hacker Practitioner™
The AI+ Ethical Hacker Practitioner™ certification validates knowledge of the intersection of cybersecurity and artificial intelligence, a pivotal…
You are hereAI-Enabled Internal Audit™ Certificate Program
Learn to use AI for smarter, faster, and more effective internal audits. Prerequisites A general understanding of internal audit concepts and the…
View courseAI+ Security Compliance Practitioner™
The AI+ Security Compliance Practitioner™ is an advanced certification that merges the fundamental principles of cybersecurity compliance with the…
View courseAI+ Security Expert™
This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls…
View coursePrivate training for your team?
Any of our courses can be delivered as private, in-company training, tailored to your organisation, in English or Hungarian.
Request a quote