The course provided me with a solid understanding of IT service desk operations and troubleshooting techniques. It has improved my ability to handle user issues with confidence and professionalism.
AI+ Ethical Hacker Practitioner™
AT-220
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.
- High-Quality Video, E-book & Audiobook
- Modules Quizzes
- AI Mentor
- Access for Tablet & Phone
- Online Proctored Exam with One Free Retake
- Hands-on Practices
Why This Certification Matters
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Stay Ahead of Technological Advancements Validates capability in AI is transforming cybersecurity, enabling you to stay at the forefront of evolving threats.
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Bridge the Gap Between AI and Cybersecurity Validates competency in combining AI techniques with ethical hacking to improve digital defense strategies.
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Boost Career Opportunities Exam includes scenario-based evaluation of AI-driven security methods, validating competency in addressing real-world cyber threats.
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Future-Proof Your Skills Validates expertise in AI-powered ethical hacking, positioning you as an expert in a rapidly advancing digital landscape.
At a Glance: Course + Exam Overview
Program Name
AI+ Ethical Hacker Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Prerequisites
Programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies knowledge.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?
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Cybersecurity Professionals: Those looking to enhance their skills in proactive defense and AI-driven threat detection.
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Ethical Hackers: Individuals focused on mastering advanced hacking techniques and staying ahead of emerging cybersecurity threats.
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Technology Leaders and Decision Makers: Executives and managers aiming to understand how AI and ethical hacking can secure their organizations.
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Aspiring Students: Learners interested in building a career in cybersecurity, gaining foundational knowledge and practical skills in ethical hacking.
Skills You'll Gain
Ethical hacking and penetrating testing techniquesAssessing security vulnerabilities and risksUsing AI-powered tools for cybersecurity analysis and threat detectionConducting network, web application, and system security testingApplying vulnerability management and remediation strategiesUnderstanding threat modeling and attack methodologiesPerforming reconnaissance and security assessmentsStrengthening incident response and cyber defense practicesAnalyzing security findings and generate professional reportsImplementing responsible and ethical hacking practices
What You'll Learn
- 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.
- 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
- 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
- 3.1 Reconnaissance Methodology
- 3.2 Enumeration Fundamentals
- 3.3 Cloud Reconnaissance
- 3.4 API Reconnaissance
- 3.5 AI for Attack Surface Mapping
- 4.1 Vulnerability Assessment Basics
- 4.2 Vulnerability Scanning
- 4.3 Vulnerability Validation
- 4.4 AI-Assisted Vulnerability Analysis
- 4.5 Remediation Planning
- 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
- 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
- 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)
- 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
- 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
- 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
- 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
- 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
- 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
Tools You'll Master
Prerequisites
- Programming and Scripting Knowledge: Basic Python, Java, or C++ knowledge for security automation
- Networking Fundamentals: Understanding of protocols, subnetting, firewalls, routing, and network traffic
- Cybersecurity Fundamentals: Familiarity with threats, vulnerabilities, encryption, authentication, and access controls
- Systems and Web Technologies: Basic knowledge of Windows, Linux, HTTP/HTTPS, and web servers
- AI and Machine Learning Awareness: Understanding of basic algorithms, models, and anomaly detection concepts
Exam Details
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
Exam Blueprint:
- Cybersecurity, Ethical Hacking, and AI Foundations - 5%
- Networking, Linux, Web Technologies, and Reconnaissance Fundamentals - 9%
- AI-Enhanced Reconnaissance, Enumeration, and Attack Surface Mapping - 9%
- Vulnerability Assessment and Risk Prioritization - 9%
- AI-Assisted Penetration Testing: Web, API, Password, Cloud, and AI Application Security - 9%
- LLM, RAG, and AI Application Security - 9%
- Machine Learning for Cybersecurity and Adversarial AI - 9%
- Threat Hunting, Detection Engineering, and AI-Driven SOC Operations - 9%
- Incident Response, Digital Forensics, and AI-Assisted Investigations - 8%
- Identity Security, Zero Trust, Cloud Security, and Non-Human Identity - 8%
- AI Governance, Compliance, Risk Management, and Responsible Disclosure - 8%
- Capstone Project - End-to-End AI-Assisted Ethical Hacking and Defense Engagement - 8%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
- 5 days (live or virtual) Self-Paced: 40 hours of content
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- 40 hours of content
- Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?
To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!
Let's Arrange a Call9/10 of our learners achieve their learning objectives after successful completionProcess Advisors
The course gave me a clear understanding of network security concepts and practical exposure. It helped me build confidence in handling real-world security tasks.
My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
The path to becoming a Cybersecurity Engineer felt like decrypting an impossible algorithm—until Fortray provided the key. Their mentorship was like a robust IPS, detecting and eliminating my weaknesses while optimizing my strengths. Now, I stand as a protector in the ever-evolving IT landscape, proud to carry their legacy forward.
This course strengthened my full-stack development skills and practical understanding. I am more confident in building and managing complete web applications.
This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
The course helped me understand automation testing frameworks and best practices. I gained practical experience in writing and executing automated test cases.
Frequently Asked Questions
Learners will gain skills in ethical hacking, penetration testing, vulnerability assessment, threat detection, and cyber defense.
The program covers security testing, reconnaissance, vulnerability management, threat modeling, incident response, and responsible hacking practices.
Learners should have knowledge of programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies.
Learners gain hands-on experience through projects and case studies focused on ethical hacking and security assessments.
The exam includes 50 questions, requires a 70% passing score, and has a 90-minute online proctored format.
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