My Account
Categories GenAI, Security

AI+ Ethical Hacker™

Download Brochure

  • Protect Digital Landscapes: Harness AI-Enhanced Technologies.
  • Assess your skills before enrolling
Take Assessment

$144.99

ChartBar (2)-72e749
Expert
AI+ Ethical Hacker.
40h
1 Year.
$144.99
Training 5 or more people?
Get a Quote

Protect Digital Landscapes: Harness AI-Enhanced Technologies.

  • 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.
  • Stay Ahead of Technological Advancements: Learn how AI is transforming cybersecurity, enabling you to stay at the forefront of evolving threats.
  • Boost Career Opportunities: This certification prepares you for high-demand roles at the intersection of AI and cybersecurity.
  • Future-Proof Your Skills: Master AI-powered ethical hacking, positioning yourself as an expert in a rapidly advancing digital landscape.
  • Bridge the Gap Between AI and Cybersecurity: Gain expertise in combining AI techniques with ethical hacking to improve digital defense strategies.
  • Hands-on Approach: Learn practical applications of AI-driven security methods, ensuring you’re equipped to tackle real-world cyber threats.

Course Curriculum

Module 1: Foundation of Ethical Hacking Using Artificial Intelligence (AI)
1.1 Introduction to Ethical Hacking 1.2 Ethical Hacking Methodology 1.3 Legal and Regulatory Framework 1.4 Hacker Types and Motivations 1.5 Information Gathering Techniques 1.6 Footprinting and Reconnaissance 1.7 Scanning Networks 1.8 Enumeration Techniques

Module 2: Introduction to AI in Ethical Hacking
2.1 AI in Ethical Hacking 2.2 Fundamentals of AI 2.3 AI Technologies Overview 2.4 Machine Learning in Cybersecurity 2.5 Natural Language Processing (NLP) for Cybersecurity 2.6 Deep Learning for Threat Detection 2.7 Adversarial Machine Learning in Cybersecurity 2.8 AI-Driven Threat Intelligence Platforms 2.9 Cybersecurity Automation with AI

Module 3: AI Tools and Technologies in Ethical Hacking
3.1 AI-Based Threat Detection Tools 3.2 Machine Learning Frameworks for Ethical Hacking 3.3 AI-Enhanced Penetration Testing Tools 3.4 Behavioral Analysis Tools for Anomaly Detection 3.5 AI-Driven Network Security Solutions 3.6 Automated Vulnerability Scanners 3.7 AI in Web Application 3.8 AI for Malware Detection and Analysis 3.9 Cognitive Security Tools

Module 4: AI-Driven Reconnaissance Techniques
4.1 Introduction to Reconnaissance in Ethical Hacking 4.2 Traditional vs. AI-Driven Reconnaissance 4.3 Automated OS Fingerprinting with AI 4.4 AI-Enhanced Port Scanning Techniques 4.5 Machine Learning for Network Mapping 4.6 AI-Driven Social Engineering Reconnaissance 4.7 Machine Learning in OSINT 4.8 AI-Enhanced DNS Enumeration & AI-Driven Target Profiling

Module 5: AI in Vulnerability Assessment and Penetration Testing
5.1 Automated Vulnerability Scanning with AI 5.2 AI-Enhanced Penetration Testing Tools 5.3 Machine Learning for Exploitation Techniques 5.4 Dynamic Application Security Testing (DAST) with AI 5.5 AI-Driven Fuzz Testing 5.6 Adversarial Machine Learning in Penetration Testing 5.7 Automated Report Generation using AI 5.8 AI-Based Threat Modeling 5.9 Challenges and Ethical Considerations in AI-Driven Penetration Testing

Module 6: Machine Learning for Threat Analysis
6.1 Supervised Learning for Threat Detection 6.2 Unsupervised Learning for Anomaly Detection 6.3 Reinforcement Learning for Adaptive Security Measures 6.4 Natural Language Processing (NLP) for Threat Intelligence 6.5 Behavioral Analysis using Machine Learning 6.6 Ensemble Learning for Improved Threat Prediction 6.7 Feature Engineering in Threat Analysis 6.8 Machine Learning in Endpoint Security 6.9 Explainable AI in Threat Analysis

Module 7: Behavioral Analysis and Anomaly Detection for System Hacking
7.1 Behavioral Biometrics for User Authentication 7.2 Machine Learning Models for User Behavior Analysis 7.3 Network Traffic Behavioral Analysis 7.4 Endpoint Behavioral Monitoring 7.5 Time Series Analysis for Anomaly Detection 7.6 Heuristic Approaches to Anomaly Detection 7.7 AI-Driven Threat Hunting 7.8 User and Entity Behavior Analytics (UEBA) 7.9 Challenges and Considerations in Behavioral Analysis

Module 8: AI Enabled Incident Response Systems
8.1 Automated Threat Triage using AI 8.2 Machine Learning for Threat Classification 8.3 Real-time Threat Intelligence Integration 8.4 Predictive Analytics in Incident Response 8.5 AI-Driven Incident Forensics 8.6 Automated Containment and Eradication Strategies 8.7 Behavioral Analysis in Incident Response 8.8 Continuous Improvement through Machine Learning Feedback 8.9 Human-AI Collaboration in Incident Handling

Module 9: AI for Identity and Access Management (IAM)
9.1 AI-Driven User Authentication Techniques 9.2 Behavioral Biometrics for Access Control 9.3 AI-Based Anomaly Detection in IAM 9.4 Dynamic Access Policies with Machine Learning 9.5 AI-Enhanced Privileged Access Management (PAM) 9.6 Continuous Authentication using Machine Learning 9.7 Automated User Provisioning and De-provisioning 9.8 Risk-Based Authentication with AI 9.9 AI in Identity Governance and Administration (IGA)

Module 10: Securing AI Systems
10.1 Adversarial Attacks on AI Models 10.2 Secure Model Training Practices 10.3 Data Privacy in AI Systems 10.4 Secure Deployment of AI Applications 10.5 AI Model Explainability and Interpretability 10.6 Robustness and Resilience in AI 10.7 Secure Transfer and Sharing of AI Models 10.8 Continuous Monitoring and Threat Detection for AI

Module 11: Ethics in AI and Cybersecurity
11.1 Ethical Decision-Making in Cybersecurity 11.2 Bias and Fairness in AI Algorithms 11.3 Transparency and Explainability in AI Systems 11.4 Privacy Concerns in AI-Driven Cybersecurity 11.5 Accountability and Responsibility in AI Security 11.6 Ethics of Threat Intelligence Sharing 11.7 Human Rights and AI in Cybersecurity 11.8 Regulatory Compliance and Ethical Standards 11.9 Ethical Hacking and Responsible Disclosure

Module 12: Capstone Project
12.1 Case Study 1: AI-Enhanced Threat Detection and Response 12.2 Case Study 2: Ethical Hacking with AI Integration 12.3 Case Study 3: AI in Identity and Access Management (IAM) 12.4 Case Study 4: Secure Deployment of AI Systems

Optional Module: AI Agents for Ethical Hacking
1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents

Learning Objectives

  • AI Fundamentals and Applications: Learn how AI is transforming industries and business practices.
  • Prompt Engineering Skills: Develop the ability to interact effectively with AI systems.
  • AI Strategies in Legal Practices: Understand how AI optimizes workflows and operations in the legal field.
  • Ethics and Responsibility in AI: Grasp the challenges of bias, fairness, and ethical AI usage.
  • Hands-on Activities and Case Studies: Apply AI concepts through practical exercises and real-world scenarios.
  • Career Preparation in AI: Equip yourself with skills to thrive in an AI-driven professional environment.

Resource Center

  • Videos, Use cases, Workshops, E-books and tools.

Target Audience

  • Aspiring ethical hackers looking to combine AI with cybersecurity.
  • Cybersecurity professionals who want to enhance skills with AI.
  • Tech enthusiasts eager to stay ahead in modern digital security challenges.

Job Roles & Industry Outlook 

Background (3)-7d31b3
Cybersecurity Analyst
Analyzes cyber threats using Al tools, monitors security systems, and recommends solutions to enhance network safety.
Background (3)-7d31b3
Penetration Tester
Uses Al to identify and exploit vulnerabilities in systems, ensuring robustness against potential cyberattacks.
Background (3)-7d31b3
Security Researcher
Investigates Al-driven security solutions, explores emerging threats, and develops innovative cybersecurity defense mechanisms.
Background (3)-7d31b3
Vulnerability Assessment Specialist
Specializes in Al-powered assessments to identify, analyze, and prioritize security vulnerabilities in technology infrastructures.

Exam Information

Background+Shadow-769ee2
Duration (minutes)
90 minutes
Passing Score Icon-71608a
Passing Percentage
70% (35/50)
Background+Shadow (1)-efcf81
Format
50 multiple-choice/multiple-response questions
Background+Shadow (2)-044f1d
Delivery Method
Online via proctored exam platform (flexible scheduling)
Background (1)-0543a9
Fees include
One year of access to course content, including continuous updates. Certification exam. One exam re-take.

Exam Blueprint:

Fundamentals of Ethical Hacking & AI Basics 6%
AI Concepts for Cybersecurity 8%
AI-Powered Reconnaissance & Information Gathering 10%
Vulnerability Assessment using AI 14%
AI-Driven Penetration Testing Techniques 15%
Machine Learning for Threat Detection 12%
Behavioral Analysis & Anomaly Detection 9%
AI-Enabled Incident Response & SOC Automation 10%
Securing AI Models & Systems 8%
Ethics, Legal & Compliance in AI Security 8%

Explore our Schedules

Nov 8 - Nov 12
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Jeddah
880.5$
5 Days
Enroll Now
Sep 6 - Sep 10
GMT 09:00 AM - 05:00 PM
In-person
In-Person
Kuwait
880.5$
5 Days
Enroll Now
May 10 - May 21
GMT 06:00 PM - 10:00 PM
LVT
LVT
Zoom
450$
10 Days
Enroll Now
Aug 16 - Aug 27
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
450$
10 Days
Enroll Now
Oct 25 - Nov 5
GMT 06:00 PM- 10:00 PM
LVT
LVT
Zoom
450$
10 Days
Enroll Now

Certificate of Completion

AI+ Ethical Hacker.

AI-Healthcare-Certificate-Blurred 1

$144.99

ChartBar (2)-72e749
Expert
AI+ Ethical Hacker.
40h
1 Year.
$144.99
Training 5 or more people?
Get a Quote

Learners Also Enrolled For

AIC_AI-Program-Director-Practitioner-0b5c99

AI+ Program Director – Practitioner™

24 hours
Intermediate

Master AI Leadership with Practical Program Management. AI Strategy Development: Learn …

omar

$200.00

AI + Business

AI+ Program Director – Practitioner™

24 hours
Intermediate
What you'll learn
Identify High-Value AI Opportunities: Learn to spot impactful use cases, assess feasibility, and build strong business cases aligned with organizational goals.
Strengthen AI Program Execution Capabilities: Develop skills to manage AI lifecycles, evaluate data readiness, and oversee governance for responsible, scalable implementation.
Evaluate Vendors and Solution Pathways: Grasp how to compare build-vs-buy options, assess vendor proposals, and choose solutions that meet strategic and technical requirements.
Coordinate Stakeholders and Drive Change: Apply effective communication and change-management strategies to align teams and support enterprise-wide AI adoption.
Ensure Responsible and Compliant AI Deployment: Equip yourself to address risk, identify bias, and navigate regulatory expectations while delivering measurable AI outcomes.
AIC_AI-Project-Management-Practitioner-14871e

AI+ Project Management Practitioner™

24 hours
Intermediate

Intelligent planning and stronger foundation. Intelligent Project Operations: Discover how AI …

omar

$200.00

AI + Business

AI+ Project Management Practitioner™

24 hours
Intermediate
What you'll learn
Empower Your Project Management Skills: Learn how to integrate AI into traditional project management to enhance decision-making, efficiency, and execution across all phases of the project lifecycle.
Master AI-Driven Tools and Techniques: Develop expertise in leveraging AI technologies for cost estimation, risk assessment, quality assurance, and resource allocation to drive successful project outcomes.
Enhance Scheduling and Budgeting Capabilities: Gain proficiency in using AI for dynamic scheduling, budget optimization, and predictive analytics to streamline project planning and delivery.
Understand Ethical and Future Trends: Explore ethical considerations, challenges, and emerging trends in AI-powered project management, ensuring responsible and forward-thinking practices.
Apply Knowledge Through Real-World Case Studies: Strengthen your learning by analyzing practical case studies that demonstrate AI integration in diverse project management scenarios.
AIC_AI-Mining-248566

AI+ Mining™

40 hours
Expert

Boost exploration, efficiency, and automation. Powering the Next Era of …

omar

$90.00

AI Engineering

AI+ Mining™

40 hours
Expert
What you'll learn
Learn AI Fundamentals: Grasp the core concepts of artificial intelligence, machine learning, and deep learning applications in the mining industry.
Apply AI in Mining Operations: Develop practical knowledge of how AI can be used in exploration, operations, predictive maintenance, and workforce development.
Understand Ethical AI Practices: Grasp the importance of ethical AI, regulatory compliance, and their role in the mining industry.
Equip with AR/VR Training Skills: Learn how AI-powered AR/VR can be used for effective workforce upskilling and training.
Enhance Decision-Making: Apply AI to improve strategic decision-making, risk management, and supply chain optimization in mining operations.
Analyze Real-World Case Studies: Develop insights from case studies of industry leaders like Vale and Anglo-American to understand practical AI benefits.
Harness AI for Sustainable Mining: Equip yourself with the skills to implement AI for safer, more efficient, and sustainable mining operations in a competitive landscape.
AIC_AI-Context-Engineering

AI+ Context Engineering™

40 hours
Intermediate

Master AI+ Context Engineering for Production-Grade AI Systems Context Strategy …

omar

$90.00

AI Engineering

AI+ Context Engineering™

40 hours
Intermediate
What you'll learn
Learn AI Integration: Understand how to integrate AI into context-aware systems.
Develop Machine Learning Skills: Grasp key machine learning concepts and apply them to real-world scenarios.
Grasp Data Analytics: Learn to analyze and preprocess data for AI applications.
Apply AI in IoT: Develop the ability to implement AI models in IoT and smart devices.
Equip with Cloud AI Knowledge: Gain a foundational understanding of cloudn based AI services.
Optimize AI Models: Learn to troubleshoot and optimize AI models for dynamic environments.
Build Adaptive Solutions: Equip yourself with the skills to create adaptive AI solutions in varying contexts.
Prepare for AI Roles: Gain hands-on experience to excel in AI-driven industries.
AIC_AI-Prompt-Engineer-Level-1-cb3893

AI+ Prompt Engineer Level 1™

40 hours
Intermediate

Master AI Prompts: Elevate Your Engineering Skills. Foundational Knowledge: Covers generative …

omar

$90.00

GenAI

AI+ Prompt Engineer Level 1™

40 hours
Intermediate
What you'll learn
The AI+ Prompt Engineer Level 1 Certification Program introduces learners from diverse backgrounds and levels of expertise to the fundamental principles of artificial intelligence and prompts engineering.
Covering the history, concepts, and applications of AI, machine learning, deep learning, neural networks, and natural language processing, the program also delves into best practices for designing effective prompts that harness the capabilities of AI models to their fullest potential.
Through a combination of theoretical instruction and practical exercises, including project-based learning sessions, participants acquire the skills needed to create and utilize prompts across various domains and objectives.
AIC_AI-Project-Management-Office-Practitioner-1

AI+ Project Management Office Practitioner™

40 hours
Expert

Master AI-Powered PMO Excellence with Intelligent Project Governance AI Strategy …

omar

$200.00

AI + Business

AI+ Project Management Office Practitioner™

40 hours
Expert
What you'll learn
Apply AI to Project Planning and Scheduling: Learn how AI tools enhance project planning, task prioritization, scheduling, and progress tracking to improve project efficiency.
Use Data-Driven Insights for Better Project Decisions: Understand how to analyze project data and leverage AI analytics to support informed decision-making and improve project outcomes.
Optimize Resources and Forecast Project Timelines: Discover how AI can help balance workloads, forecast timelines, and allocate resources more effectively.
Manage Project Risks with AI-Powered Monitoring: Learn to identify potential risks early and monitor project performance using AI-driven insights and predictive indicators.
Enhance Governance, Reporting, and Stakeholder Alignment: Develop the ability to automate reporting, maintain documentation accuracy, and improve communication with stakeholders through AI-enabled tools.
AIC_AI-Agile-Project-Management-Fundamentals

AI+ Agile Project Management Fundamentals™

24 hours
Intermediate

Transform Project Delivery with AI+ Agile Project Management Fundamentals Smart …

omar

$90.00

AI + Business

AI+ Agile Project Management Fundamentals™

24 hours
Intermediate
What you'll learn
Integrate AI into Agile Planning and Sprint Processes: Learn how to use AI tools to support sprint planning, backlog grooming, and resource allocation to boost forecasting accuracy and team productivity.
Automate Workflows and Routine Project Tasks with AI: Gain practical skills in automating repetitive tasks such as status tracking, reporting, and documentation so teams can focus on high-value work.
Make Data-Driven Decisions Using AI Analytics: Understand how to interpret project metrics, assess risks early, and make faster, evidence-based decisions throughout the project lifecycle.
Enhance Risk Management and Predictive Performance Tracking: Discover how intelligent tools can forecast potential bottlenecks, delays, and performance trends to proactively mitigate risks and improve delivery outcomes.
Improve Team Collaboration and Communication with AI Assistants: Master the use of natural language processing and AI-powered reporting tools to streamline communication, summarize insights, and keep stakeholders aligned.
AIC_AI-Prompt-Engineer-Level-2-0b88b7

AI+ Prompt Engineer Level 2™

40 hours
Expert

Mastering Advanced Techniques for Effective AI Prompting. Prompt Mastery: Learn to …

omar

$174.50

GenAI

AI+ Prompt Engineer Level 2™

40 hours
Expert
What you'll learn
The AI+ Prompt Engineer Level 2 certification is designed for developers aiming to master advanced prompt engineering techniques.
This program equips learners with skills in crafting and optimizing prompts, integrating them with cutting-edge development tools, and applying them across diverse domains.
Through project-based learning, participants gain practical experience by working on real-world AI projects.
The curriculum explores advanced strategies, experimentation, and optimization, ensuring proficiency in creating impactful AI-driven solutions.
Ideal for professionals looking to enhance their expertise, this certification bridges the gap between AI innovation and application, empowering developers to lead in the evolving field of prompt engineering.
AIC_AI-Nurse-0874c1

AI+ Nurse™

40 hours
Intermediate

Blending Human Touch with AI Intelligence. Patient-Centric AI Care: Designed for …

omar

$82.00

Healthcare

AI+ Nurse™

40 hours
Intermediate
What you'll learn
The AI + Nurse certification program equips healthcare professionals with the essential skills to integrate artificial intelligence into nursing practice.
By focusing on AI technologies and their application in clinical settings, the certification prepares nurses to enhance patient care, optimize workflows, and improve decision-making.
The program covers AI fundamentals, data analytics, machine learning, and ethical considerations, enabling nurses to confidently leverage AI tools to advance patient outcomes.
With the growing role of technology in healthcare, the AI + Nurse certification provides a critical edge for nurses seeking to stay at the forefront of the evolving healthcare landscape.
AIC_AI-Real-Estate-5b13c5

AI+ Real Estate™

40 hours
Intermediate

AI in Real Estate: Pioneering the Future of Property Innovation. …

omar

$82.00

Real Estate

AI+ Real Estate™

40 hours
Intermediate
What you'll learn
This course introduces real estate professionals to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) without requiring any programming knowledge.
Participants will explore AI’s impact on property valuation, marketing, fraud detection, smart homes, compliance, and business decisionmaking.
Through hands-on activities, case studies, and real-world applications, learners will gain practical knowledge to leverage AI in real estate.

Want to receive push notifications for all major on-site activities?

✕

Don't have an account yet? Sign up for free

Forgot your password?