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CEH v13

Certified Ethical Hacker (CEH v13 AI) Course in Sydney

A cybersecurity professional wearing a hoodie and sunglasses working on a laptop, surrounded by digital code elements, symbolizing CEH course and ethical hacking certification.
Edoxi’s 40 Hour Certified Ethical Hacker (CEH) v13 training in Sydney, Australia develops advanced skills in AI-driven threat detection and rapid response to cyber incidents. The course provides practical training through EC-Council's iLab platform. Learn to use AI-powered tools such as ShellGPT, ChatGPT, FraudGPT, WormGPT, and DeepExploit for ethical hacking. Training aligns with the EC-Council's curriculum and prepares you for the CEH v13 312-50 exam. Enrol now and become a sought-after ethical hacker in Sydney!
Course Duration
40 Hours
Corporate Days
5 Days
Learners Enrolled
1500+
Modules
20
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Course Rating
4.9
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Mode of Delivery
Online
Certification by
  • ECCouncil-accreditation-logo

What Do You Learn from Edoxi's CEH v13 with AI Training

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

About Our Certified Ethical Hacker (CEH) Course in Sydney

Edoxi’s Certified Ethical Hacker (CEH) v13 Training in Sydney provides learners with advanced skills to identify, exploit, and secure vulnerabilities in digital systems. It is specifically designed to equip cybersecurity professionals, IT specialists, and ethical hacking enthusiasts. The CEH course follows the official EC-Council CEH v13 curriculum. Our training blends theory with intensive practical sessions to help learners understand how cyberattacks are carried out and how to defend against them. 

There is a growing demand for skilled cybersecurity professionals in Sydney’s rapidly expanding technology sector. Edoxi’s CEH training in Dubai provides the knowledge and hands-on experience required to excel in this high-demand field. The training empowers professionals to tackle industry-specific cybersecurity challenges with advanced AI tools and technologies. 

Edoxi’s 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 our 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.

Edoxi’s CEH V13 Course in Sydney includes guided exercises and real-world simulations. Participants develop practical cybersecurity skills that align with industry requirements. 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.

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 modelling
WormGPT
  • Malware behaviour analysis
  • Automated vulnerability scanning
  • Security control testing
DeepExploit
  • Zero-day vulnerability discovery
  • Exploit automation
  • Advanced penetration testing

EC-Council’s CEH v13 Exam Details

Our CEH v13 AI training in Sydney will help you prepare for the CEH v13 Certification exam. Additionally, we offer dual certification opportunities to validate your expertise in ethical hacking: the EC-Council Certification and the Edoxi Course Completion Certificate. The Certification exam details include;

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 the 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

Features of Edoxi's CEH v13 Training

Cloud-Based Practice Environment

Get training in EC-Council's iLab platform with live networks and real vulnerabilities in a secure setting.

Real-World Cybersecurity Simulations

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

Hands-On Labs with Advanced Tools

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

Learn attacker and defender methodologies to secure systems and mitigate threats effectively.

Case Studies and Incident Analysis

Analyse notable cyberattacks to understand vulnerabilities, attack vectors, and response strategies.

Threat Detection and Response Skills

Learn to identify, analyse, and respond to cybersecurity incidents using advanced tools and methodologies.

Who Can Join Our CEH v13 Course in Sydney, Australia?

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.

Request Course Information

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 Certified Ethical Hacker (CEH v13 AI) Course Brochure

Real-World Projects and Case studies in CEH v13 Course in Sydney, Australia

The CEH v13 Course in Sydney, Australia emphasises practical learning through hands-on projects and case studies. These exercises give students real-world experience in ethical hacking, helping them apply cybersecurity concepts to realistic attack and defence scenarios. Here are some of the projects and case studies in our course;

Projects

  • Web Application Penetration Testing

    Learners perform a penetration test on a simulated vulnerable web application. They will identify and exploit common vulnerabilities like SQL injection and XSS, then prepare a professional security report with recommendations.

  • Network Attack and Defence Simulation

    Students simulate attacks on a virtual network to identify weaknesses and gain unauthorised access. After the attack phase, they will secure the network by patching vulnerabilities and applying defence strategies.

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

  • Advanced Security Toolkit

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

Case Studies

  • Interactive Training Scenarios

    You 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 Sydney, Australia

The Certified Ethical Hacker v13 AI certification unlocks diverse career opportunities in Sydney's thriving technology sector. The following are the CEH V13 course outcomes you can expect after completing our CEH V13 training in Sydney, Australia;

Course Outcome Image
Gain a deep understanding of the latest ethical hacking methodologies and cybersecurity threats.
Build practical skills in penetration testing, vulnerability analysis, and network security.
Master advanced security tools such as Nmap, Nessus, Burp Suite, Wireshark, and AI-based tools like ShellGPT.
Covers assessment and protection of cloud, IoT, mobile, and on-premises environments.
Learn to manage and interpret SIEM systems and applying Zero Trust Architecture.
Get training aligned with EC-Council standards to ensure strong preparation for the CEH certification exam.

Career Opportunities After Completing CEH v13 Training in Sydney, Australia

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

Companies Hiring CEH Professionals in Sydney, Australia

  • Gridware
  • Menzies Aviation
  • Fender Music Australia
  • Schweitzer Engineering Laboratories
  • Peoplebank Australia
  • Standards Australia
  • Deloitte
  • UNSW College
  • EML Group
  • Transgrid

CEH v13 Training Options

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

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How to Get CEH v13 Certified in Sydney, Australia?

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

  • Enrol in the CEH v13 Training in Sydney
  • Complete the CEH V13 training led by experts
  • Apply for the VEH v13 exam
  • Get your Course Completion Certificate
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Do You Want to be a Certified Professional in Certified Ethical Hacker (CEH v13 AI)?

Join Edoxi’s Certified Ethical Hacker (CEH v13 AI) Course

Why Choose Edoxi Training Ltd for CEH V13 Training in Sydney, Australia?

Here are a few reasons why you should choose Edoxi for CEH V13 in Sydney, Australia;

CEH Certification Exam Preparation

Gain the skills and confidence to ace the CEH exam through a structured learning path, expert mentorship, and immersive hands-on practice.

Significant Exam Cost Savings

Access exclusive discounts on CEH exam vouchers and enjoy special pricing for the practical certification exam.

Advanced Cloud-Based Learning

Train in state-of-the-art cloud labs designed with real-world attack scenarios, vulnerabilities, and preconfigured security tools.

Comprehensive Learning Support

Learn through the official EC-Council curriculum, enhanced with AI-driven tools, practical exercises, and guidance from experienced instructors.

Proven Success Record

Join over 10,000 professionals who have achieved their certification goals and advanced their cybersecurity careers with Edoxi.

Trusted by Leading Organisations

Top entities such as the UAE Federal Government, Emirates Digital Wallet, Australian Embassy, Reserve Bank of Zimbabwe, Nigerian Government (Ministry of Foreign Affairs), The Supreme Council for National Security and Saudi Aramco rely on Edoxi for world-class cybersecurity training.

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Edoxi is Recommended by 95% of our Students

Locations Where Edoxi Offers Certified Ethical Hacker (CEH v13 AI) Course

Here is the list of other major locations where Edoxi offers Certified Ethical Hacker (CEH v13 AI) 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 Sydney?

No prior experience in ethical hacking is required, as our curriculum and trainers ensure that all participants make steady progress. Here are some helpful prerequisites:

  • Basic IT Knowledge: Understanding computer systems and fundamental networking concepts is beneficial.
  • Operating System Experience: Familiarity with using Windows, Linux, or macOS at a basic level is helpful.

  • Willingness to Learn: A strong interest in cybersecurity and AI-integrated tools, along with an eagerness to explore new concepts, is essential.

What career opportunities are available after CEH certification in Sydney, Australia?

Certified professionals can start as Junior Security Analysts or Penetration Testers and advance to roles like Security Consultant or Network Security Engineer. The certification is highly valued across IT, banking, government, and healthcare sectors, with strong demand in Sydney.

Can I pass the certification exam through Edoxi’s Certified Ethical Hacker Course training in Sydney?

Yes, our Certified Ethical Hacker course in Sydney 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 is the duration of Edoxi's CEH v13 AI training in Sydney?

Our Certified Ethical Hacker course includes 40 hours of comprehensive training available in online or corporate formats. We also offer flexible scheduling to accommodate working professionals.