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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
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AI+ Ethical Hacker Practitioner™
Protect Digital Landscapes: Harness AI-Enhanced Technologies
Certificate code
AT-220
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
Includes
Instructor-led OR Self-paced course + Official exam + Digital badge
Our pricing
TechnicalTechnical course options
Instructor-led pricing appears only when we have an open cohort for the programme.
Self-paced
NGN 283,500
NGN 358,500
Independent learning with certification preparation support.
Programme overview
Certification preparation delivered with Stackron Academy support
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.
Certification modules
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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
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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
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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 enroll
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 covered
Acunetix
Wapiti
Nessus
OWASP ZAP
HackerGPT
Cobalt Strike
Shodan
Wazuh
Sumo Logic
YARA Rules
Prepare for this AI CERTs® certification with Stackron Academy
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