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Certified Ethical Hacker (CEH v13 AI) Course in London

Cybersecurity professionals attending a CEH training session in London, as an instructor presents digital security topics in a modern classroom environment.
Certified Ethical Hacker (CEH) v13 training in London will help you develop advanced skills for AI-driven threat detection and rapid response to cyber incidents. Edoxi’s 40-hour CEH v13 course provides practical training through EC-Council's iLab platform. You will learn to use AI-powered tools like ShellGPT, ChatGPT, FraudGPT, WormGPT and DeepExploit for ethical hacking. The course aligns with the EC-Council's most up-to-date curriculum and prepares you for the CEH v13 312-50 exam. 
Course Duration
40 Hours
Corporate Days
5 Days
Learners Enrolled
1500+
Modules
7
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Course Rating
4.9
star-rating-4.9
Mode of Delivery
Online
Offline
Accredited by

What You'll Learn from the CEH v13 with AI Course in London?

Ethical Hacking Fundamentals with AI Integration
You will explore the cyber kill chain and MITRE ATT&CK framework. Gain practical experience using tools like ShellGPT and FraudGPT.
Advanced Scanning and Vulnerability Assessment
You will master network scanning and enumeration techniques to improve vulnerability detection and analysis.
System and Network Attack Techniques
You will develop expertise in hacking, malware analysis, and sniffing. Automate threat detection for better efficiency.
Web Application and Cloud Security
You will learn to secure web applications, cloud environments, and databases. Enhance your defences by analysing attack patterns.
Mobile and IoT Security
You will strengthen security for mobile platforms and IoT devices with advanced assessment techniques.
Modern Security Technologies
You will get hands-on with cryptography, wireless security, and next-generation AI-powered tools.

About Our Certified Ethical Hacker Course in London

Edoxi’s CEH training in London empowers professionals to tackle industry-specific cybersecurity challenges with advanced AI tools and technologies. The CEH v13 course provides comprehensive lab-based training through EC-Council's iLab platform. The training environment features unpatched systems and vulnerable applications, enabling you to practice ethical hacking techniques in a controlled setting. 

During the course, you will learn all five phases of ethical hacking, including Reconnaissance, Vulnerability Scanning, Gaining Access, Maintaining Access, and Clearing Tracks. These 5 steps provide a structured approach to identifying, exploiting, and securing vulnerabilities, ensuring a comprehensive understanding of offensive and defensive cybersecurity strategies.

The image illustrates the 5 phases of ethical hacking: Reconnaissance, Vulnerability Scanning, Gaining Access, Maintaining Access, and Clearing Tracks.

The CEH V13 Course includes guided exercises and real-world simulations. You will develop practical cybersecurity skills that align with industry requirements. Our trainers will also help you develop skills to implement Cybersecurity across industries with Edoxi's Ethical Hacking Training in London.

Our training integrates advanced AI tools from EC-Council’s latest CEH v13 curriculum, enhancing your ethical hacking expertise. The following table showcases all the AI tools that you will be learning.

EC-Council’s CEH v13 Exam Details

Component Knowledge-Based Exam Practical Exam (Optional)
Exam Code 312-50 (ECC/VUE) Via ASPEN iLabs
Duration 4 hours 6 hours
Format 125 multiple-choice questions Hands-on practical assessments
Passing Criteria 60%–85% (varies by question weight) At least 50% of practicals have been completed
Certification CEH v13 CEH Master designation
Validity 3 years 3 years
Recertification 120 CECs or retake the exam 120 CECs or retake exam
 

Exclusive Benefits for Edoxians (*Learners at Edoxi)

At Edoxi, our learners are more than just students, they are Edoxians. Being part of our learning community comes with a range of exclusive benefits designed to enhance your experience and support your journey toward success.

Benefits 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 Course completion certificate
 
 

Features of Edoxi's CEH v13 Course in London

Cloud-Based Practice Environment

You will be trained on EC-Council's iLab platform with live networks and real vulnerabilities in a secure setting.

Threat Detection and Response Skills

You will learn to identify, analyse, and respond to cybersecurity incidents using advanced tools and methodologies.

Hands-On Labs with Advanced Tools

You will complete structured exercises like password cracking and exploit testing. Use AI-powered tools for tasks such as vulnerability scanning and malware analysis.

Role-Based Security Training

You will learn attacker and defender methodologies to secure systems and mitigate threats effectively.

Case Studies and Incident Analysis

You will analyse notable cyberattacks to understand vulnerabilities, attack vectors, and response strategies.

Real-World Cybersecurity Simulations

You get to engage in scenarios replicating threats like APTs, malware, and network breaches to develop practical skills.

Who Can Join Our CEH v13 Course in London?

IT Professionals and System Administrators

Network administrators, system engineers, and IT infrastructure specialists can enhance their careers with advanced ethical hacking and AI-driven security skills.

Cybersecurity Analysts and Enthusiasts

Security analysts, ethical hackers, and cybersecurity specialists can upgrade their expertise with the latest AI-powered tools and techniques.

Students and Fresh Graduates

Those with basic IT knowledge and an interest in cybersecurity can build a strong foundation for a career in ethical hacking.

Career Changers

Professionals interested in transitioning to cybersecurity can develop essential skills and industry-recognised credentials through this comprehensive program.

Software Engineers and Developers

Technical professionals working in software development can expand their security expertise to build and maintain secure applications.

IT Auditors and Compliance Professionals

Those responsible for security audits and compliance can gain hands-on technical skills for more effective security assessments.

CEH v13 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

Projects and Case studies in CEH v13 Course in London

The CEH v13 course in London offers hands-on labs to help learners gain real-world ethical hacking skills. Our practical training approach ensures a deeper understanding of cybersecurity concepts and better preparation for real-world challenges. Here are some projects and case studies that you will be involved in during the course;

Projects

  • Cloud-Based Practice Environment

    Get access to EC-Council's iLab platform with live networks and unpatched systems. Perform vulnerability analysis and penetration testing in secure, pre-configured environments.

  • Practical Security Exercises

    You will simulate real-world cybersecurity challenges, including SIEM systems management and Zero Trust Architecture implementation.

  • Advanced Security Toolkit

    You will master tools like Nmap, Nessus, and Wireshark for network scanning. Perform vulnerability assessments using Burp Suite, Acunetix, and OWASP ZAP.

  • AI-Powered Security Tools

    You get to use advanced tools like ShellGPT for penetration testing, FraudGPT for threat detection, and DeepExploit for vulnerability assessment.

  • Specialised Training Projects

    You will complete real-world projects in penetration testing, malware analysis, cloud security, IoT assessments, and incident response.

Case Studies

  • Interactive Training Scenarios

    You will role-play attacker and defender perspectives while analysing historical cyber-attacks. Develop skills in threat detection and incident response.

CEH v13 Course Outcome and Career Opportunities in London

The Certified Ethical Hacker v13 AI certification unlocks diverse career opportunities in London's thriving technology sector. After completing our CEH V13 training, you can progress through various cybersecurity roles. The following are the CEH V13 course outcomes you can expect after completing our CEH V13 training in London;

Course Outcome Image
You will gain a deep understanding of the latest ethical hacking methodologies and cybersecurity threats.
You will develop hands-on skills in penetration testing, vulnerability analysis, and network security.
You will master the use of advanced security tools like Nmap, Nessus, Burp Suite, Wireshark, and AI-based tools like ShellGPT.
You will learn how to assess and secure cloud, IoT, mobile, and on-premises environments.
You will acquire expertise in managing and interpreting SIEM systems and applying Zero Trust Architecture.
You will prepare confidently for the CEH certification exam with practical knowledge aligned to EC-Council standards.
You will strengthen your ability to detect, prevent, and respond to cyber threats from both attacker and defender perspectives.
Stay ahead with exposure to emerging cybersecurity trends, AI-driven security tools, and real-world attack simulations.

Job Roles After Completing CEH v13 Training in London

  • Ethical Hacker
  • Security Analyst
  • Penetration Tester
  • Cybersecurity Specialist
  • SOC Security Analyst
  • Security Operations Specialist
  • Threat Hunting Analyst
  • Information Security Analyst
  • Cybersecurity Analyst
  • Security Consultant
  • Vulnerability Analyst
  • Cybersecurity Manager
  • Security Auditor
  • Network Security Engineer
  • Security Manager
  • Third-Party Risk Manager
  • Chief Information Security Officer
  • Chief Technology Officer
  • Senior SOC Analyst
  • Red Team Specialist

Companies Hiring CEH Professionals in London

  • London Stock Exchange Group (LSEG)
  • Revolut
  • Deliveroo
  • DS Smith
  • Berenberg

CEH v13 Training Options

Classroom Training

  • 40-hour instructor-led sessions

  • Practical exercises in EC-Council's iLab environment

  • Small group sessions with 8-10 participants

  • Comprehensive coverage of ethical hacking concepts

  • Direct interaction with trainers for immediate feedback and clarification

Live Online Training

  • 40-hour 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

  • 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 for corporate teams

Do You Want a Customised Training for CEH v13?

Get expert assistance in getting your CEH v13 Course customised!

How to Get CEH v13 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 Training Ltd for CEH V13 Training in London?

Here are a few reasons why you should choose Edoxi for CEH V13 in London;

CEH Certification Exam Preparation

We offer structured learning, expert guidance, and hands-on practice to ensure success in the CEH certification exam.

Substantial Exam Cost Savings

Enjoy discounted CEH exam vouchers and special rates for the practical certification exam.

Cloud-Based Learning Infrastructure

Practice in advanced cloud labs with real-world scenarios, vulnerabilities, and pre-configured security tools.

Comprehensive Learning Support

We follow EC-Council's official curriculum, enhanced with AI tools, practical exercises, and expert instruction.

Proven Track Record

Trained over 10,000 professionals with a consistent record of success in certifications and career advancement.

Industry Recognition and Trust

Major top organisations like the UAE Federal Government, Emirates Digital Wallet, and Saudi Aramco have chosen Edoxi for their cybersecurity training needs.

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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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Maria Mehwish

Maria Mehwish is a forward-thinking and knowledgeable information security leader with a strong background in building, updating, and maintaining digital protections for various organisations. As a certified CEH, CCSP, CCT, and CISSP Trainer, Maria has a proven track record of delivering innovative and immersive coursework, enhancing learning experiences for cyber threats, ethical hacking, security policy, DevSecOps, and cloud security. With excellent verbal and written communication skills, she is also adept at troubleshooting problems and building successful solutions.

Maria is a self-motivated individual with a strong sense of personal responsibility, capable of managing projects from start to finish. Her expertise in Amazon Web Services, Java/Go/Python/C++, DevSecOps, computer security, Linux, penetration testing, and risk analysis, among others, makes her a valuable asset to any organisation. Maria, a British national, is a native English speaker and has intermediate proficiency in Urdu.

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 CEH v13 program integrates AI into all phases of ethical hacking. It enhances task automation, improves efficiency by up to 40%, and provides extensive hands-on coverage to strengthen defensive and offensive cybersecurity skills.

What prerequisites are needed to join Edoxi’s CEH v13 course in London?

While no prior ethical hacking experience is required, our curriculum and trainers ensure confident progress for all participants. Here are some helpful prerequisites:

  • Basic IT Knowledge: Familiarity with computer systems and fundamental networking concepts is helpful.
  • Operating System Experience: Comfortable using Windows, Linux, or MacOS systems at a basic level.
  • Willingness to Learn: A keen interest in Cybersecurity and AI-integrated tools, along with a readiness to explore new concepts.
What is the duration of Edoxi's CEH v13 AI training in London?
Our Certified Ethical Hacker course includes 40 hours of comprehensive training available in classroom, online, or corporate formats. Flexible scheduling accommodates working professionals.
Can I pass the certification exam through Edoxi’s Certified Ethical Hacker Course training in London?
Yes, our Certified Ethical Hacker course in London is designed to align with EC-Council's exam objectives. It includes focused exam preparation, hands-on labs, and practice tests, equipping you to confidently pass the CEH certification exam.
What skills will I develop through the CEH v13 training in London?

Yes, you’ll gain expertise in ethical hacking fundamentals, AI-powered tools, vulnerability assessment, system hacking, web and mobile security, and advanced scanning techniques through practical labs and real-world scenarios.