Certified Ethical Hacking with AI C|EH

About Course

The Ethical Hacking with AI program prepares the next generation of cybersecurity professionals to identify, assess, exploit and secure vulnerabilities using modern ethical hacking methodologies and Artificial Intelligence.

As cyber threats become more sophisticated, security professionals increasingly use AI to accelerate reconnaissance, vulnerability analysis, security testing, threat intelligence, incident analysis and security operations.

This program combines Ethical Hacking, Penetration Testing, Cybersecurity and Artificial Intelligence so learners understand how AI can be used responsibly across the cybersecurity lifecycle. Students work with industry-standard security tools, AI-assisted security workflows, controlled cyber ranges, vulnerability assessment environments and practical projects.

What Makes Ethical Hacking with AI Different?

Traditional ethical hacking teaches students how to identify and exploit vulnerabilities. Ethical Hacking with AI teaches students how to combine human security expertise with AI-powered capabilities. Learners will understand how to:

Use AI to accelerate reconnaissance and information gathering
Analyse vulnerabilities using AI-assisted workflows
Generate and review security-testing scripts responsibly
Use AI for log and security-event analysis
Apply AI to threat intelligence and threat hunting
Understand AI-generated attack techniques and their defensive implications
Identify security risks in AI-powered applications
Assess vulnerabilities in LLM and GenAI applications
Secure AI models, APIs and AI-enabled applications
Automate repetitive cybersecurity tasks using AI
Validate AI-generated security findings using professional methodologies

Apply responsible and ethical principles when using AI for cybersecurity

Who Is This Course For?

Students interested in Cybersecurity and Ethical Hacking
BCA / B.Sc. / B.Tech / MCA / Computer Science students
IT professionals looking to transition into cybersecurity
Networking and system administrators
SOC and security operations professionals
Aspiring penetration testers, ethical hackers and security analysts
Developers interested in application security
Cloud and DevSecOps professionals
Cybersecurity career starters and career changers
Professionals interested in AI Security and GenAI Security

No advanced AI knowledge is required. A basic understanding of computers, networking and cybersecurity is helpful but not mandatory.

Ethical hacking methodologies
Information gathering and reconnaissance
Network security assessment
Vulnerability assessment
Web application security testing
Authentication and access-control testing
Wireless security fundamentals
System and infrastructure security
Penetration testing methodologies
AI fundamentals for cybersecurity professionals
Generative AI for security workflows
Prompt engineering for cybersecurity
AI-assisted reconnaissance, vulnerability analysis and security research
AI-assisted log analysis
AI-powered threat intelligence and threat hunting
Security automation using AI
Understanding LLM security
Prompt injection risks
Insecure AI outputs
AI application attack surfaces
AI API security
Data leakage risks
Model and application security
AI security testing methodologies
Responsible AI security practices
Security tool usage
Vulnerability identification
Security assessment and penetration testing
Security reporting
Risk analysis
Remediation recommendations
Capture-the-Flag challenges
Real-world security projects

Course Content

Module 01: Introduction to Ethical Hacking

Information security fundamentals and key issues
Ethical hacking concepts and methodologies
Information security controls
Information security laws and standards
Standard ethical-hacking procedures and professional practices

Module 02: Footprinting and Reconnaissance

Module 03: Scanning Networks

Module 04: Enumeration

Module 05: Vulnerability Analysis

Module 06: System Hacking

Module 07: Malware Threats

Module 08: Sniffing

Module 09: Social Engineering

Module 10: Denial-Of-Service

Module 11: Session Hijacking

Module 12: Evading IDS, Firewalls, And Honeypots

Module 13: Hacking Web Servers

Module 14: Hacking Web Applications

Module 15: SQL Injection

Module 16: Hacking Wireless Networks

Module 17: Hacking Mobile Platforms

Module 18: IoT And OT Hacking

Module 19: Cloud Computing

Module 20: Cryptography

Student Ratings & Reviews

5.0

Total 3 Ratings

3 Ratings

0 Rating

3 years ago

Informative, engaging, practical. The course delivers essential insights for those aiming to enhance their online marketing capabilities.

3 years ago

Engaging, practical, essential. The course equips learners to excel in online marketing strategies effectively and efficiently

3 years ago

Dynamic, practical, transformative. The course empowers learners to master effective online marketing strategies with confidence and clarity.

About Course

About Course

What Makes Ethical Hacking with AI Different?

Who Is This Course For?

What Will You Learn?

Course Content

Module 01: Introduction to Ethical Hacking

Information security fundamentals and key issues

Ethical hacking concepts and methodologies

Information security controls

Information security laws and standards

Standard ethical-hacking procedures and professional practices

Module 02: Footprinting and Reconnaissance

Footprinting concepts and objectives

Passive and active reconnaissance

Reconnaissance techniques and information gathering

Footprinting tools and methodologies

Countermeasures for footprinting and reconnaissance

Module 03: Scanning Networks

Network scanning concepts

Host and network discovery

Scanning techniques and methodologies

Identifying network services and systems

Scanning tools and scanning countermeasures

Module 04: Enumeration

Enumeration concepts and methodology

Network and system information enumeration

Service and resource enumeration

BGP and NFS-related enumeration/exploitation concepts

Enumeration tools and countermeasures

Module 05: Vulnerability Analysis

Vulnerability identification and assessment

Security weaknesses in networks and communication infrastructure

End-system vulnerability assessment

Vulnerability assessment methodologies

Vulnerability assessment tools and countermeasures

Module 06: System Hacking

System hacking methodology

Identifying system and network vulnerabilities

Authentication and password-related attacks

Privilege and system-access concepts

Steganography and steganalysis

Covering tracks and associated countermeasures

Module 07: Malware Threats

Malware concepts and classifications

Trojans, viruses and worms

Advanced Persistent Threats (APT)

Fileless malware

Malware analysis procedures

Malware countermeasures

Module 08: Sniffing

Packet-sniffing concepts and techniques

Network traffic analysis

Discovering vulnerabilities through packet analysis

Sniffing tools and techniques

Sniffing countermeasures

Module 09: Social Engineering

Social engineering concepts and attack techniques

Human-level security vulnerabilities

Identity theft concepts

Social engineering assessment and auditing

Social engineering countermeasures

Module 10: Denial-Of-Service

DoS and DDoS concepts

DoS/DDoS attack techniques

Botnets and distributed attack infrastructure

Tools used to assess DoS/DDoS exposure

DoS/DDoS detection, protection and countermeasures

Module 11: Session Hijacking

Session management weaknesses

Authentication and authorization weaknesses

Network-level session hijacking techniques

Cryptographic weaknesses affecting sessions

Session hijacking countermeasures

Module 12: Evading IDS, Firewalls, And Honeypots

Firewall concepts and security controls

Intrusion Detection Systems (IDS) and related controls

Honeypots and perimeter-defence mechanisms

Evasion concepts and techniques