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Certified Ethical Hacker (CEH v13) Course

 A cybersecurity professional in a hoodie working on a laptop, representing ethical hacking and CEH
Edoxi’s CEH v13 Course offers a 40-hour online training program. It teaches you how to identify and fix system weaknesses and understand hacker techniques. You will learn ethical hacking, AI, and machine learning skills. The course prepares you to become a security expert. It includes the latest AI-driven cybersecurity methods. The CEH v13 certification helps you develop skills in testing systems, finding vulnerabilities, and reducing threats. After completing the course, you can pursue roles like ethical hacker, penetration tester, security analyst, or security engineer. Enroll now to start your journey.
Course Duration
40 hours
Corporate Days
5 days
Learners Enrolled
1500+
Course Modules
7
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Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Accredited by

What You'll Learn from Edoxi’s CEH v13 AI Course

Enhanced Scanning and Vulnerability Evaluation
You will become proficient in methods for network scanning and enumeration, improving your ability to identify and analyze vulnerabilities.
Methods for System and Network Breaches
You will acquire skills in hacking, malware evaluation, and data sniffing, as well as learn to automate threat detection for greater effectiveness.
Securing Web Applications and Cloud Infrastructure
You will discover how to protect web applications, cloud settings, and databases while bolstering your defenses through attack pattern analysis.
Security for Mobile and IoT Devices
By employing advanced evaluation methods, you will fortify security for mobile platforms and Internet of Things devices.
Contemporary Security Tools
You will engage with cryptography, wireless security, and the newest AI-driven technologies in a practical learning setting.
Real-World Ethical Hacking Practice
You will practice ethical hacking in simulated environments to build real-world skills and prepare for cybersecurity jobs.

About Our CEH v13 AI Training

The EC Council's Certified Ethical Hacker v13 program is the first ethical hacking course worldwide to use AI. Edoxi provides you 40-hour online CEH v13 course along with hands-on-training expeience. 

We will deliver the CEH v13 course integrating AI into all five stages of ethical hacking. This includes;

  • Reconnaissance: Learn to gather essential information about your target
  • Vulnerability Scanning: Gain the ability to identify weaknesses in the target system
  • Gaining Access: Learn how to exploit identified vulnerabilities actively
  • Maintaining Access: Develop skills to maintain continued access to the target systems
  • Clearing Tracks: Master the art of erasing any trace of your activities. 
The image illustrates the 5 phases of ethical hacking: Reconnaissance, Vulnerability Scanning, Gaining Access, Maintaining Access, and Clearing Tracks.

You can experience this AI Revolution in Ethical Hacking as a Certified Ethical Hacker in Version 13 with Edoxi. As an EC Council Authorized Training Center, Edoxi offers the CEH v13 course along with various other Cybersecurity Courses.

Edoxi will assist you in gaining the skills required to navigate the advanced landscape of cybersecurity as a Certified Ethical Hacker, trained in the most recent version of CEH v13 that is powered by AI.

Our trainers, who are industry-experienced and certified in cybersecurity, will equip you with AI-enhanced tools and methods to identify, exploit, and protect against vulnerabilities in systems and networks.

Our CEH v13 AI Course, guided by our cybersecurity professionals, will assist you in: 

  • Understanding how to utilize AI for automating threat detection, anticipating security breaches, and responding swiftly to cyber incidents. 
  • Acquiring the expertise necessary to secure AI-driven technologies from possible threats. 
  • Positioning yourself at the forefront of cybersecurity by merging ethical hacking with AI capabilities. 
  • Preparing to shield organizations in various sectors from advanced threats and adapting to changing challenges. 
  • Enhancing your skills as a Certified Ethical Hacker empowered by AI capabilities. 

Our training incorporates state-of-the-art AI tools from EC-Council’s latest CEH v13 curriculum, boosting your ethical hacking proficiency. These tools are detailed along with its application in the table below.

AI Tool Application in Ethical Hacking
ShellGPT
  • Command-line automation for penetration testing
  • Rapid exploit development
  • Automated security assessment workflows
ChatGPT
  • Security report generation
  • Threat intelligence analysis
  • Code vulnerability assessment
FraudGPT
  • Advanced social engineering detection
  • Fraud pattern recognition
  • Automated threat modeling
WormGPT
  • Malware behaviour analysis
  • Automated vulnerability scanning
  • Security control testing
DeepExploit
  • Zero-day vulnerability discovery
  • Exploit automation
  • Advanced penetration testing

Our Certified Ethical Hacking Course equips you with knowledge of different hacking methods and techniques. We grant you the capacity to adopt a hacker's mindset while upholding suitable ethical principles.

With an in-depth curriculum, practical labs, and real-world project experiences, you will cultivate a thorough skill set in AI to conduct efficient penetration testing, evaluate the security stance of systems, and reduce possible attacks.

CEH v13 Course Exclusive Benefits for Edoxians

Benefit Category Details
Exam Voucher Discounted pricing from EC-Council for Edoxians (Standard price: USD 1,199)
Study Materials Complete EC-Council digital courseware access
Practical Exam Discounted pricing from EC-Council for Edoxians
Additional Certificate Industry approved course completion certificate

Upon completing our Certified Ethical Hacker Course, you'll have the opportunity to demonstrate your skills through online practical assessments, which include a 4-hour Knowledge-Based Exam and a 6-hour Practical Exam.

About EC-Council’s CEH v13 Exam Details

Component Knowledge-Based Exam Practical Exam (Optional)
Exam Code 312-50 (ECC/VUE) Via ASPEN iLabs
Exam Duration 4 Hours 6 Hours
Format 125 multiple-choice question Hands-on practical assessments
Passing Criteria 60%–85% (varies by question weight) At least 50% of practicals completed
Certification CEH v13 CEH Master designation
Validity 3 years 3 years
Recertification 120 CECs or retake exam 120 CECs or retake exam
Note: Remote examination options are available with additional proctoring fees, allowing candidates to take the exam from their preferred location.

Features of Certified Ethical Hacker (CEH v13) AI Course

Cloud-Based Practice Environment

Experience hands-on training on the EC-Council's iLab platform, where you can safely practice in secure environments featuring live networks and authentic vulnerabilities.

Real-World Cybersecurity Simulations

Participate in realistic scenarios that replicate current threats, including advanced persistent threats (APTs), malware attacks, and network breaches, helping you cultivate essential cybersecurity skills.

Hands-On Labs with Advanced Tools

Engage in structured exercises like password cracking and exploit testing. You'll gain access to AI-powered tools for effective vulnerability scanning and malware analysis.

Role-Based Security Training

Learn both offensive and defensive strategies to efficiently secure systems and mitigate a variety of potential threats.

Case Studies and Incident Analysis

Study significant cyberattacks to uncover vulnerabilities, understand attack methodologies, and devise effective response strategies.

Threat Detection and Response Skills

Acquire the knowledge to identify, analyze, and respond to cybersecurity incidents using advanced methodologies and tools.

Enhanced Practical Training

Return to EC-Council's iLab platform, which features live networks and unpatched systems, allowing you to conduct vulnerability analyses and penetration tests in a controlled environment.

Practical Security Exercises

Tackle real-world challenges, such as managing Security Information and Event Management (SIEM) systems and implementing Zero Trust Architecture.

Interactive Training Scenarios

Engage in role-playing exercises as both attackers and defenders while analyzing historical cyberattacks to enhance your skills in threat detection and incident response.

Advanced Security Toolkit

Become proficient in utilizing tools like Nmap, Nessus, and Wireshark for network scanning. You'll also perform vulnerability assessments with Burp Suite, Acunetix, and OWASP ZAP.

AI-Powered Security Tools

Leverage cutting-edge tools such as ShellGPT for penetration testing, FraudGPT for threat detection, and DeepExploit for conducting vulnerability assessments.

Specialized Training Projects

Conclude the course by completing real-world projects focused on penetration testing, malware analysis, cloud security, IoT assessments, and incident response.

Who Can Join Edoxi’s CEH v13 AI Training?

IT Professionals and System Administrators

Those managing networks and systems to detect vulnerabilities and secure IT infrastructure through ethical hacking.

Cybersecurity Analysts and Enthusiasts

Individuals focused on protecting digital systems to deepen their knowledge of hacking techniques and defensive strategies.

Students and Fresh Graduates

Those entering the IT field to build a strong foundation in cybersecurity and gain a competitive edge with CEH certification.

Career Changers

Professionals from non-IT backgrounds to transition into the growing cybersecurity field by acquiring practical ethical hacking skills.

Software Engineers and Developers

Developers looking to learn how to code securely by understanding how attackers exploit software vulnerabilities.

IT Auditors and Compliance Professionals

Professionals responsible for assessing system security to benefit from understanding hacking methodologies and risk mitigation.

CEH v13 AI Course Modules

Module 1: Introduction to Ethical Hacking
  • Chapter 1.1: Fundamentals of Information Security

    • Lesson 1.1.1: Elements of Information Security
    • Lesson 1.1.2: Classification of Attacks
    • Lesson 1.1.3: Hacker Classes and Their Roles
  • Chapter 1.2: Ethical Hacking Essentials

    • Lesson 1.2.1: Definition and Scope of Ethical Hacking
    • Lesson 1.2.2: CEH Ethical Hacking Framework
    • Lesson 1.2.3: Cyber Kill Chain Methodology
    • Lesson 1.2.4: MITRE ATT&CK Framework
  • Chapter 1.3: AI and Ethical Hacking

    • Lesson 1.3.1: AI-Driven Ethical Hacking
    • Lesson 1.3.2: ChatGPT-Powered AI Tools for Ethical Hackers
  • Chapter 1.4: Legal and Regulatory Frameworks

    • Lesson 1.4.1: Information Assurance (IA) and Risk Management
    • Lesson 1.4.2: Threat Intelligence Lifecycle and Incident Management
    • Lesson 1.4.3: Compliance Standards: PCI DSS, HIPPA, SOX, GDPR, and DPA
Module 2: Footprinting and Reconnaissance
  • Chapter 2.1: Fundamentals of Reconnaissance

    • Lesson 2.1.1: Understanding Reconnaissance and Its Importance
    • Lesson 2.1.2: Footprinting Using Advanced Google Hacking Techniques
  • Chapter 2.2: Advanced Footprinting Techniques

    • Lesson 2.2.1: Footprinting Through People Search Services
    • Lesson 2.2.2: Dark Web Footprinting
    • Lesson 2.2.3: Competitive Intelligence Gathering
    • Lesson 2.2.4: Footprinting Through Social Networking Sites
  • Chapter 2.3: Technical Footprinting Methods

    • Lesson 2.3.1: Whois Lookup and DNS Footprinting
    • Lesson 2.3.2: Traceroute Analysis
    • Lesson 2.3.3: Email Footprinting
  • Chapter 2.4: Social Engineering and AI-Powered Tools

    • Lesson 2.4.1: Footprinting Through Social Engineering
    • Lesson 2.4.2: AI-Powered OSINT Tools
  • Chapter 2.5: Hands-on Labs

    • Lesson: 2.5.1: Perform footprinting using various techniques, including AI tools.
Module 3: Scanning Networks
  • Chapter 3.1: Fundamentals of Network Scanning

    • Lesson 3.1.1: Overview of Network Scanning
    • Lesson 3.1.2: Host Discovery Techniques
    • Lesson 3.1.3: Port Scanning Techniques
  • Chapter 3.2: Advanced Scanning Techniques

    • Lesson 3.2.1: Service Version Discovery
    • Lesson 3.2.2: OS Discovery and Banner Grabbing
    • Lesson 3.2.3: Scanning Beyond IDS and Firewalls
  • Chapter 3.3: AI-Driven Scanning

    • Lesson 3.3.1: Host Discovery and Port Scanning with AI
    • Lesson 3.3.2: AI-Powered Tools for Enhanced Scanning
  • Chapter 3.4: Countermeasures and Defence Mechanisms

    • Lesson 3.4.1: Scanning Detection Techniques
    • Lesson 3.4.2: Scanning Prevention Methods
  • Chapter 3.5: Hands-on Labs

    • Lesson 3.5.1: Host, port, and OS scanning, including AI tools.
Module 4: Enumeration
  • Chapter 4.1: Fundamentals of Enumeration

    • Lesson 4.1.1: What is Enumeration and Its Importance
    • Lesson 4.1.2: Types of Enumeration Techniques
  • Chapter 4.2: Network Enumeration Techniques

    • Lesson 4.2.1: NetBIOS Enumeration
    • Lesson 4.2.2: SNMP and LDAP Enumeration
    • Lesson 4.2.3: NTP and NFS Enumeration
  • Chapter 4.3: Advanced Enumeration Methods

    • Lesson 4.3.1: DNS Cache Snooping and DNSSEC Zone Walking
    • Lesson 4.3.2: IPsec and VoIP Enumeration
    • Lesson 4.3.3: RPC and SMB Enumeration
    • Lesson 4.3.4: Unix/Linux User Enumeration
  • Chapter 4.4: AI and Enumeration

    • Lesson 4.4.1: Enumeration Using AI-Powered Tools
    • Lesson 4.4.2: Enumeration Countermeasures
  • Chapter 4.5: Hands-on Labs

    • Lesson 4.5.1: Enumeration using tools including AI.
Module 5: Vulnerability Analysis
  • Chapter 5.1: Introduction to Vulnerability Analysis

    • Lesson 5.1.1: Understanding Vulnerability Classification
    • Lesson 5.1.2: Vulnerability Scoring Systems and Databases
    • Lesson 5.1.3: Vulnerability-Management Life Cycle
  • Chapter 5.2: Vulnerability Research and Scanning

    • Lesson 5.2.1: Conducting Vulnerability Research
    • Lesson 5.2.2: Vulnerability Scanning and Analysis
    • Lesson 5.2.3: Common Vulnerability Assessment Tools
  • Chapter 5.3: AI-Powered Vulnerability Analysis

    • Lesson 5.3.1: Using AI to Identify Vulnerabilities
    • Lesson 5.3.2: AI-Powered Vulnerability Assessment Tools
  • Chapter 5.4: Reporting and Mitigation

    • Lesson 5.4.1: Crafting Vulnerability Assessment Reports
    • Lesson 5.4.2: Implementing Vulnerability Mitigation Strategies
  • Chapter 5.5: Hands-on Labs

    • Lesson 5.5.1: Use traditional and AI tools for vulnerability analysis.
Module 6: System Hacking
  • Chapter 6.1: Fundamentals of System Hacking

    • Lesson 6.1.1: Password Cracking Techniques
    • Lesson 6.1.2: Vulnerability Exploitation
    • Lesson 6.1.3: Metasploit Framework Basics
  • Chapter 6.2: Advanced Hacking Techniques

    • Lesson 6.2.1: Buffer Overflow Exploitation and Detection
    • Lesson 6.2.2: Active Directory Enumeration
    • Lesson 6.2.3: Privilege Escalation Techniques
  • Chapter 6.3: Steganography and Track Covering

    • Lesson 6.3.1: Hiding Data Using Steganography
    • Lesson 6.3.2: Detecting Steganography
    • Lesson 6.3.3: Covering Tracks and Clearing Logs
  • Chapter 6.4: AI in System Hacking

    • Lesson 6.4.1: Exploiting Vulnerabilities with AI Tools
    • Lesson 6.4.2: AI-Assisted Track Covering Techniques
  • Chapter 6.5: Hands-on Labs

    • Lesson 6.5.1: Execute real-world hacking tasks, including AI use.
Module 7: Malware Threats
  • Chapter 7.1: Understanding Malware

    • Lesson 7.1.1: Types of Malware
    • Lesson 7.1.2: Advanced Persistent Threat (APT) Lifecycle
    • Lesson 7.1.3: Fileless Malware and Its Impact
  • Chapter 7.2: Malware Analysis

    • Lesson 7.2.1: Static Malware Analysis
    • Lesson 7.2.2: Dynamic Malware Analysis
    • Lesson 7.2.3: Malware Detection Techniques
  • Chapter 7.3: AI and Malware

    • Lesson 7.3.1: AI-Based Malware Detection and Analysis
    • Lesson 7.3.2: Leveraging AI to Combat Malware Threats
  • Chapter 7.4: Malware Countermeasures

    • Lesson 7.4.1: Anti-Trojan Software and Ransomware Defences
    • Lesson 7.4.2: Malware Prevention and Security Best Practices
  • Chapter 7.5: Hands-on Labs

    • Lessons 7.5.1: Malware infection, analysis, and AI-assisted detection.
Module 8: Sniffing
  • Chapter 8.1: Basics of Network Sniffing

    • Lesson 8.1.1: What is Sniffing and Its Purpose
    • Lesson 8.1.2: Types of Sniffing Attacks: Passive and Active
  • Chapter 8.2: Sniffing Techniques

    • Lesson 8.2.1: MAC Flooding and ARP Poisoning
    • Lesson 8.2.2: DHCP Starvation Attack
    • Lesson 8.2.3: VLAN Hopping and STP Attacks
  • Chapter 8.3: Advanced Sniffing and AI Integration

    • Lesson 8.3.1: DNS Poisoning Techniques
    • Lesson 8.3.2: Sniffer Tools and AI-Powered Sniffing
    • Lesson 8.3.3: Sniffer Detection Techniques
  • Chapter 8.4: Sniffing Countermeasures

    • Lesson 8.4.1: Mitigation Strategies
    • Lesson 8.4.2: Detecting and Preventing ARP Poisoning
  • Chapter 8.5: Hands-on Labs

    • Lesson 8.5.1: Conduct and defend against sniffing attacks using tools and AI.
Module 9: Social Engineering
  • Chapter 9.1: Fundamentals of Social Engineering

    • Lesson 9.1.1: What is Social Engineering?
    • Lesson 9.1.2: Types of Social Engineering Attacks
    • Lesson 9.1.3: Human-Based Techniques
  • Chapter 9.2: Techniques and Tools

    • Lesson 9.2.1: Impersonation and Its Impact
    • Lesson 9.2.2: Computer-Based Social Engineering
    • Lesson 9.2.3: Phishing and Tools
  • Chapter 9.3: AI-Driven Social Engineering

    • Lesson 9.3.1: Performing Impersonation Using AI
    • Lesson 9.3.2: Crafting Sophisticated Phishing Attacks
  • Chapter 9.4: Countermeasures

    • Lesson 9.4.1: Social Engineering Prevention
    • Lesson 9.4.2: Anti-Phishing and Identity Protection
  • Chapter 9.5: Hands-on Labs

    • Lesson 9.5.1: Simulate, detect, and prevent social engineering scenarios using AI.
Module 10: Denial-of-Service (DoS) and Distributed DoS (DDoS)
  • Chapter 10.1: Understanding DoS and DDoS

    • Lesson 10.1.1: What are DoS and DDoS?
    • Lesson 10.1.2: Role of Botnets
    • Lesson 10.1.3: Attack Techniques
  • Chapter 10.2: Tools and Techniques

    • Lesson 10.2.1: DoS/DDoS Toolkits
    • Lesson 10.2.2: Advanced Techniques
    • Lesson 10.2.3: AI-Powered Analysis of Patterns
  • Chapter 10.3: Detection and Mitigation

    • Lesson 10.3.1: Detection Techniques
    • Lesson 10.3.2: Tools and Services
    • Lesson 10.3.3: Mitigation Best Practices
  • Chapter 10.4: Hands-on Labs

    • Lesson 10.4.1: Launch and mitigate DoS/DDoS attacks, using AI for detection.
Module 11: Session Hijacking
  • Chapter 11.1: Fundamentals of Session Hijacking

    • Lesson 11.1.1: What is Session Hijacking?
    • Lesson 11.1.2: Application-Level Session Hijacking
    • Lesson 11.1.3: Network-Level Session Hijacking
  • Chapter 11.2: Techniques for Session Hijacking

    • Lesson 11.2.1: TCP/IP Hijacking
    • Lesson 11.2.2: RST Hijacking
    • Lesson 11.2.3: Blind Hijacking
    • Lesson 11.2.4: Compromising Session IDs
  • Chapter 11.3: Tools and AI in Session Hijacking

    • Lesson 11.3.1: Session Hijacking Tools and Their Use
    • Lesson 11.3.2: Detecting and Preventing Session Hijacking with AI
  • Chapter 11.4: Countermeasures

    • Lesson 11.4.1: Session Hijacking Detection Methods
    • Lesson 11.4.2: Implementing Countermeasures and Best Practices
  • Chapter 11.5: Hands-on Labs

    • Lesson 11.5.1: Perform, detect, and mitigate session hijacking with AI tools.
Module 12: Evading IDS, Firewalls, and Honeypots
  • Chapter 12.1: Understanding Security Mechanisms

    • Lesson 12.1.1: IDS and IPS Overview
    • Lesson 12.1.2: Types and Functions of Firewalls
    • Lesson 12.1.3: Honeypots in Network Security
  • Chapter 12.2: Evasion Techniques

    • Lesson 12.2.1: IDS/Firewall Evasion
    • Lesson 12.2.2: NAC and Endpoint Evasion
    • Lesson 12.2.3: Tunnelling and Packet Manipulation
  • Chapter 12.3: Tools and Techniques

    • Lesson 12.3.1: IDS/Firewall Evasion Tools
    • Lesson 12.3.2: Honeypot Detection and Bypass
    • Lesson 12.3.3: AI-Based Evasion Strategies
  • Chapter 12.4: Countermeasures

    • Lesson 12.4.1: IDS and IPS Tools
    • Lesson 12.4.2: Honeypot Monitoring
    • Lesson 12.4.3: Firewall Hardening
  • Chapter 12.5: Hands-on Labs

    • Lesson 12.5.1: Deploy honeypots, bypass firewalls, and use AI to evade detection.
Module 13: Hacking Web Servers
  • Chapter 13.1: Introduction

    • Lesson 13.1.1: Web Server Architecture
    • Lesson 13.1.2: Common Vulnerabilities
    • Lesson 13.1.3: Attack Methodologies
  • Chapter 13.2: Hacking Techniques

    • Lesson 13.2.1: DNS Server Hijacking and Web Cache Poisoning
    • Lesson 13.2.2: Footprinting and Banner Grabbing
    • Lesson 13.2.3: Directory Brute Forcing
  • Chapter 13.3: Tools and AI Integration

    • Lesson 13.3.1: Web Server Attack Tools
    • Lesson 13.3.2: AI-Powered Exploitation Methods
    • Lesson 13.3.3: Automated Detection
  • Chapter 13.4: Security Measures

    • Lesson 13.4.1: Best Practices
    • Lesson 13.4.2: Web Server Countermeasures
    • Lesson 13.4.3: Security Testing Tools
  • Chapter 13.5: Hands-on Labs

    • Lesson 13.5.1: Simulate attacks and secure web servers using AI tools.
Module 14: Hacking Web Applications
  • Chapter 14.1: Introduction

    • Lesson 14.1.1: Overview of Web Apps
    • Lesson 14.1.2: OWASP Top 10
    • Lesson 14.1.3: Attack Methodologies
  • Chapter 14.2: Hacking Techniques

    • Lesson 14.2.1: Footprinting Web Infrastructure
    • Lesson 14.2.2: Bypassing Client-Side Controls
    • Lesson 14.2.3: Access Controls and Web Services Attacks
  • Chapter 14.3: Advanced Exploits

    • Lesson 14.3.1: Web API Hacking
    • Lesson 14.3.2: Fuzz Testing
    • Lesson 14.3.3: API Security
  • Chapter 14.4: Security & Countermeasures

    • Lesson 14.4.1: Testing Tools
    • Lesson 14.4.2: Countermeasures
    • Lesson 14.4.3: Security Best Practices
  • Chapter 14.5: Hands-on Labs

    • Lesson 14.5.1Conduct real-time web application attacks and testing with AI.
Module 15: SQL Injection
  • Chapter 15.1: Fundamentals

    • Lesson 15.1.1: What is SQL Injection
    • Lesson 15.1.2: Types of Attacks
  • Chapter 15.2: Injection Methodologies

    • Lesson 15.2.1: Information Gathering
    • Lesson 15.2.2: Launching Attacks
    • Lesson 15.2.3: Advanced Techniques
  • Chapter 15.3: Tools and AI

    • Lesson 15.3.1: SQL Injection Tools
    • Lesson 15.3.2: AI for Exploitation
    • Lesson 15.3.3: Evasion Techniques
  • Chapter 15.4: Countermeasures

    • Lesson 15.4.1: Detection Tools
    • Lesson 15.4.2: Implementing Safeguards
    • Lesson 15.4.3: Securing Databases
  • Chapter 15.5: Hands-on Labs

    • Lesson 15.5.1: Exploit and mitigate SQL injections using AI tools.
Module 16: Hacking Wireless Networks
  • Chapter 16.1: Fundamentals

    • Lesson 16.1.1: Standards and Protocols
    • Lesson 16.1.2: Wireless Encryption
    • Lesson 16.1.3: Wireless Vulnerabilities
  • Chapter 16.2: Hacking Methodologies

    • Lesson 16.2.1: Discovery and Analysis
    • Lesson 16.2.2: Cracking Encryption
    • Lesson 16.2.3: Rogue Access Points
  • Chapter 16.3: Tools and Techniques

    • Lesson 16.3.1: Wireless Hacking Tools
    • Lesson 16.3.2: AI for Attacks
    • Lesson 16.3.3: Advanced Attacks
  • Chapter 16.4: Countermeasures

    • Lesson 16.4.1: Best Practices
    • Lesson 16.4.2: Auditing Tools
    • Lesson 16.4.3: Prevention Strategies
  • Chapter 16.5: Hands-on Labs

    • Lesson 16.5.1: Analyse, hack, and secure wireless networks including AI tools.
Module 17: Hacking Mobile Platforms
  • Chapter 17.1: Security Overview

    • Lesson 17.1.1: Mobile Attack Anatomy
    • Lesson 17.1.2: OWASP Mobile Top 10
    • Lesson 17.1.3: Mobile Threats
  • Chapter 17.2: Android Techniques

    • Lesson 17.2.1: ADB Exploitation
    • Lesson 17.2.2: Payload Creation
    • Lesson 17.2.3: APK Attacks
  • Chapter 17.3: iOS Techniques

    • Lesson 17.3.1: Jailbreaking
    • Lesson 17.3.2: iOS Exploitation
    • Lesson 17.3.3: iOS Security Tools
  • Chapter 17.4: Best Practices

    • Lesson 17.4.1: MDM and Guidelines
    • Lesson 17.4.2: Countermeasures
    • Lesson 17.4.3: AI-Powered Tools
  • Chapter 17.5: Hands-on Labs

    • Lesson 17.5.1: Simulate mobile attacks and apply AI-driven protection.
Module 18: IoT and OT Hacking
  • Chapter 18.1: Fundamentals

    • Lesson 18.1.1: IoT Architecture
    • Lesson 18.1.2: OWASP IoT Threats
    • Lesson 18.1.3: OT Overview
  • Chapter 18.2: Vulnerabilities

    • Lesson 18.2.1: IoT Device Threats
    • Lesson 18.2.2: OT Protocol Vulnerabilities
    • Lesson 18.2.3: IIoT Threats
  • Chapter 18.3: Hacking IoT/OT

    • Lesson 18.3.1: Hacking Methodology
    • Lesson 18.3.2: Traffic Analysis
    • Lesson 18.3.3: OT Exploitation
  • Chapter 18.4: Countermeasures

    • Lesson 18.4.1: IoT Security Tools
    • Lesson 18.4.2: OT Security Practices
    • Lesson 18.4.3: AI Solutions
  • Chapter 18.5: Hands-on Labs

    • Lesson 18.5.1: Exploit and secure IoT/OT environments with AI tools.
Module 19: Cloud Computing
  • Chapter 19.1: Fundamentals

    • Lesson 19.1.1: Cloud Models
    • Lesson 19.1.2: Fog and Edge
    • Lesson 19.1.3: Docker and Serverless
  • Chapter 19.2: Risks and Threats

    • Lesson 19.2.1: OWASP Cloud Risks
    • Lesson 19.2.2: Common Threats
    • Lesson 19.2.3: Kubernetes Vulnerabilities
  • Chapter 19.3: Cloud Hacking

    • Lesson 19.3.1: Hacking Methodology
    • Lesson 19.3.2: S3 Bucket Exploits
    • Lesson 19.3.3: IAM Escalation
  • Chapter 19.4: Countermeasures

    • Lesson 19.4.1: Security Controls
    • Lesson 19.4.2: Best Practices
    • Lesson 19.4.3: AI Cloud Security
  • Chapter 19.5: Hands-on Labs

    • Lesson 19.5.1: Hack and secure cloud environments using advanced tools.
Module 20: Cryptography
  • Chapter 20.1: Fundamentals

    • Lesson 20.1.1: Cryptography Basics
    • Lesson 20.1.2: Symmetric vs Asymmetric
    • Lesson 20.1.3: Message Digests
  • Chapter 20.2: Advanced Techniques

    • Lesson 20.2.1: Quantum and Blockchain
    • Lesson 20.2.2: PKI and Digital Signatures
    • Lesson 20.2.3: Email/Disk Encryption
  • Chapter 20.3: Cryptanalysis

    • Lesson 20.3.1: Analysis Methods
    • Lesson 20.3.2: Attacks on Quantum/Blockchain
    • Lesson 20.3.3: Evasion Techniques
  • Chapter 20.4: Practical Applications

    • Lesson 20.4.1: Secure Certificates
    • Lesson 20.4.2: AI in Cryptanalysis
    • Lesson 20.4.3: Best Practices
  • Chapter 20.5: Hands-on Labs

    • Lesson 20.5.1: Encrypt, decrypt, analyse and secure data with AI tools.

Download CEH v13 AI Course Brochure

Hands-On Labs and Practical Training in CEH v13 Course

Edoxi’s CEH v13 course offers immersive, hands-on training designed to build real-world cybersecurity skills. Through advanced labs and guided projects, you’ll gain practical experience using the latest tools and techniques in ethical hacking.

Cloud-Based Practice Environment

You will gain access to EC-Council’s iLab platform with live networks and unpatched systems to safely perform vulnerability scans and penetration tests.

Practical Security Exercises

You will tackle real-world cybersecurity tasks like managing SIEM systems and applying Zero Trust Architecture principles.

Interactive Training Scenarios

You will experience both attacker and defender roles while studying real cyber-attacks to sharpen your detection and response skills.

Advanced Security Toolkit

You will learn to use tools like Nmap, Nessus, Wireshark, Burp Suite, Acunetix, and OWASP ZAP for scanning and vulnerability assessment.

AI-Powered Security Tools

You will explore cutting-edge tools such as ShellGPT, FraudGPT, and DeepExploit for AI-driven penetration testing and threat detection.

Specialised Training Projects

You will complete hands-on projects in malware analysis, IoT security, cloud infrastructure testing, and incident response planning.

CEH v13 AI Course Outcome and Global Career Opportunities

The Certified Ethical Hacker v13 AI certification offers a gateway to a variety of career paths in the ever-evolving technology sector worldwide. Completing the CEH v13 course opens up numerous roles within the cybersecurity domain, each tailored to different interests and expertise. Here are the key outcomes and career opportunities following the CEH v13 course:

Course Outcome Image
Understanding Cybersecurity Threats: Gain knowledge of the latest cybersecurity threats, vulnerabilities, and attack vectors affecting different systems and networks.
Hands-On Experience: Develop practical skills using ethical hacking tools and techniques to identify, assess, and mitigate security breaches effectively.
Penetration Testing Proficiency: Learn how to plan, execute, and manage penetration tests in accordance with ethical standards and industry best practices.
Risk Assessment Skills: Acquire a structured approach to evaluate and analyze security risks and vulnerabilities in various systems.
Legal and Ethical Awareness: Understand the legal ramifications of hacking and the ethical principles that guide cybersecurity practices.
Incident Response Skills: Build competencies to respond to security incidents, including analyzing breaches and formulating effective remediation strategies.
Network Security Insights: Gain expertise in securing networks, including knowledge of firewall configurations, VPNs, and intrusion detection systems.

Job Roles After CEH v13 Course

  • Junior Ethical Hacker
  • Security Analyst
  • Junior Penetration Tester
  • Cybersecurity Specialist
  • SOC Security Analyst
  • Security Operations Specialist
  • Threat Hunting Analyst
  • Information Security Analyst
  • Ethical Hacker
  • Cybersecurity Analyst

CEH v13 AI Training Options

Live Online Training

  • Real-time virtual learning with certified instructors

  • Access to cloud-based lab infrastructure

  • Interactive tool demonstrations and practical sessions

  • Flexible scheduling options for working professionals

  • Recordings of sessions for future reference

Corporate Training

  • A 5-day intensive programme customised to organisational needs

  • Customisable modules and delivery formats (on-site, online, or hybrid)

  • Fly Me A Trainer option for tailored on-site training anywhere in the world

  • Full logistics handled, including venue options (hotel, client premises, or our premises)

  • Food and refreshments provided

Do You Want a Customised Training for CEH v13?

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How to Get CEH v13 AI Certified?

Here’s a four-step guide to becoming a certified CEH v13 professional.

Do You Want to be a Certified Professional in CEH v13?

Join Edoxi’s CEH v13 Course

Why Choose Edoxi for your CEHv13 AI Training?

At Edoxi, we are dedicated to providing outstanding cybersecurity education that meets the needs of learners worldwide. Here are several reasons why organizations around the globe select us for their cybersecurity training:

Confidently Pass the CEH Certification Exam

Our structured learning approach, expert guidance, and hands-on practice ensure you are well-prepared to ace the CEH certification exam. We equip you with all the resources necessary for your success.

Significant Cost Savings on Exam Fees

Take advantage of our discounted CEH exam vouchers and special rates for practical certification exams, allowing you to save considerably as you advance your career.

Innovative Cloud-Based Learning

Experience an unparalleled learning journey with our advanced cloud labs. They provide engaging real-world scenarios, expose you to various vulnerabilities, and include pre-configured security tools that reflect industry standards.

Comprehensive Support Throughout Your Learning

Our courses align with the official EC-Council curriculum and are enhanced with state-of-the-art AI tools, practical exercises, and expert instruction. We are committed to supporting you every step of the way.

Proven Success Record

Join over 10,000 professionals who have benefited from our training, consistently achieving success in certifications and career advancement.

Trusted by Leading Organizations

Edoxi is the training partner of choice for major organizations, including UAE Federal Government, Emirates Digital Wallet, Saudi Aramco, Australian Embassy, Reserve Bank of Zimbabwe, Nigerian Government (Ministry of Foreign Affairs), The Supreme Council for National Security.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

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Satendra K

Satendra Trainer change description: Satendra Singh Khari is a renowned cybersecurity expert and the Chief Technology Officer at Edoxi, where he leads the CEH v13 AI program. With over 12 years of experience, he has trained more than 10,000 professionals and earned recognition in the Circle of Excellence for 2023 and 2024. Mr. Khari holds multiple industry certifications, including CISSP, CISM, CEH, CPENT, and CREST, which showcase his expertise in vulnerability assessment, penetration testing, and incident handling.

His practical insights, gained during his tenure as Head of Information Security in Malaysia, enhance the learning experience by providing students with essential technical skills and a clear path to career advancement. Recognized as a leader in his field, he has received the Internet 2.0 Outstanding Leadership Award for three consecutive years (2022-2024), reflecting his dedication to empowering the next generation of cybersecurity professionals.

Locations Where Edoxi Offers CEH v13 Certification Course

Here is the list of other major locations where Edoxi offers CEH v13 Certification Course

FAQ

What is the Certified Ethical Hacker v13 program powered by AI?
The Certified Ethical Hacker v13 program incorporates AI into every stage of ethical hacking, offering extensive hands-on experience. This integration allows for the automation of tasks, enhances techniques for hacking and defending AI systems, and increases task efficiency by 40%.
What are the prerequisites for enrolling in the CEH v13 AI Course?
To optimize your learning experience, it’s advisable to have:
 
  • Basic IT Knowledge: Familiarity with computer networks and fundamental operating system concepts.
  • Understanding of Network Security: A basic grasp of network protocols and security practices is important.
  • Prior Experience: While not mandatory, hands-on experience in IT or networking is beneficial for grasping course content.
  • CompTIA Security+ Certification: Possessing this certification or equivalent knowledge is recommended but not essentia
What practical skills will I gain through the CEH v13 program?
You will develop expertise in ethical hacking fundamentals, AI-enhanced tools, vulnerability assessment, system hacking, and advanced scanning techniques through hands-on labs and real-world scenarios.
What type of practical experience will I receive from CEH v13 AI Training?
You will engage extensively with EC-Council's iLab platform to conduct penetration testing, analyze vulnerabilities, and experiment with advanced security tools in a controlled environment.
What skills will I develop by completing the CEH v13 program powered by AI?
You will acquire skills in automating ethical hacking tasks using AI tools like ShellGPT, ChatGPT, FraudGPT, WormGPT, DeepExploit, Nebula, and Veed.io. Additionally, you will learn to gather critical information on targets, identify system vulnerabilities, exploit weaknesses, sustain access, and erase digital footprints.