Ethical Hacking Course in Delhi

Cybersecurity Fundamentals

Build a strong foundation in security principles and concepts.

Ethical Hacking

Learn authorized security testing methodology and techniques.

Penetration Testing

Understand structured security assessments and reporting.

Network Security

Protect and monitor network infrastructure.

Web Application Security

Identify and understand common web vulnerabilities.

Vulnerability Assessment

Discover, validate and document security weaknesses.

Linux & Kali Linux

Master Linux administration and Kali Linux security environment.

Digital Forensics

Learn evidence collection and investigation techniques.

Python for Cybersecurity

Build automation scripts and security tools.

Network Reconnaissance

Learn information gathering and attack-surface discovery.

Security Testing

Learn authorized security testing methodology.

Incident Response Fundamentals

Understand incident response lifecycle and procedures.

AI Cybersecurity

Learn how AI supports security operations and automation.

AI Application Security

Understand security challenges in AI-powered applications.

LLM Security Fundamentals

Learn foundational concepts for securing LLM applications.

Fundamentals First

Build knowledge of networking, operating systems, Linux, protocols and security concepts before moving into advanced security testing.

Practical Labs

Practice concepts inside controlled and authorized environments.

Security Tools

Work with widely used cybersecurity tools such as Nmap, Wireshark, Burp Suite, Metasploit, SQLMap, Hydra, Kali Linux.

Project-Based Learning

Apply concepts through cybersecurity exercises and projects rather than relying exclusively on theoretical study.

AI + Cybersecurity

Understand how artificial intelligence is changing security testing, security operations and the threat landscape.

AI Cybersecurity Fundamentals

Understand the security challenges associated with modern AI systems.

AI Threat Modeling

Learn threat modeling for AI-powered applications.

LLM Security

Learn foundational concepts for securing LLM applications.

Prompt Injection Concepts

Understand how malicious instructions can manipulate AI applications.

AI Application Security

Learn security considerations for applications integrating APIs and models.

AI-Assisted Security Analysis

Explore how AI can help security professionals analyze information.

Security Automation

Learn automation techniques for security workflows.

Python + AI Security Workflows

Use Python for AI security automation.

AI Risk Assessment

Learn risk assessment for AI systems.

Secure AI Implementation Concepts

Learn secure AI development and deployment.

Generative AI Security

Understand security implications of generative AI.

AI Attack-Surface Analysis

Learn attack-surface analysis for AI systems.

Module 1 — Cybersecurity Fundamentals

• CIA Triad
• Threats and vulnerabilities
• Authentication and authorization
• Security controls
• Risk fundamentals
• Common attack types
• Defensive security concepts

Module 2 — Networking

• TCP/IP
• OSI model
• TCP and UDP
• Ports
• Protocols
• IP addressing
• DNS
• HTTP/HTTPS
• Network traffic
• Firewalls

Module 3 — Linux & Kali Linux

• Linux commands
• File permissions
• Processes
• Networking commands
• Package management
• Shell fundamentals
• Kali Linux security environment

Module 4 — Reconnaissance

• Nmap
• DNS utilities
• Network discovery tools
• OSINT techniques

Module 5 — Vulnerability Assessment

• Vulnerability identification
• Service enumeration
• Risk classification
• Vulnerability validation
• Security reporting

Module 6 — Web Application Security

• HTTP
• Sessions
• Authentication
• Access control
• Input validation
• Common web vulnerabilities
• OWASP security concepts

Module 7 — Penetration Testing

• Reconnaissance
• Enumeration
• Vulnerability assessment
• Validation
• Documentation
• Reporting

Module 8 — Network Security

• Network monitoring
• Packet analysis
• Traffic inspection
• Firewall concepts
• Network security architecture
• Wireshark analysis

Module 9 — Digital Forensics

• Evidence concepts
• File-system artifacts
• Investigation methodology
• Log analysis
• Digital evidence handling

Module 10 — Python for Cybersecurity

• Security automation
• Socket programming
• Network scanning
• Data processing
• Log analysis
• Security utilities

Module 11 — AI Security

• AI security
• LLM security
• Prompt injection
• AI application risks
• AI threat modeling
• Security automation

Students

Computer science, IT and engineering students who want to explore cybersecurity.

Beginners

People starting their cybersecurity journey without extensive prior security experience.

IT Professionals

Network, system and IT professionals looking to move toward security roles.

Ethical Hacking Learners

Students interested in penetration testing and vulnerability assessment.

Career Switchers

Professionals looking to transition into cybersecurity.

Cybersecurity Analyst

Monitor, detect, and respond to security threats.

SOC Analyst

Monitor security events and investigate suspicious activity.

Ethical Hacker

Authorized security testing and vulnerability assessment.

Penetration Tester

Simulate attacks to identify weaknesses.

Vulnerability Analyst

Identify and prioritize security gaps.

Network Security Analyst

Protect and monitor network infrastructure.

Security Engineer

Build and maintain security infrastructure.

Digital Forensics Analyst

Investigate digital evidence and security incidents.

Incident Response Analyst

Respond to and investigate security incidents.

Application Security Analyst

Test and secure applications against threats.

Security Consultant

Advise organizations on security best practices.

AI Security Analyst

Secure AI-powered applications and systems.

Live Classes

Attend live instructor-led sessions from anywhere in Delhi.

Practical Demonstrations

Watch and learn from real-time security demonstrations.

Cybersecurity Labs

Access controlled lab environments for practice.

Assignments

Complete practical assignments and projects.

Projects

Build a portfolio of real cybersecurity projects.

Doubt-Solving Sessions

Get your questions answered during live sessions.

Certification Preparation

Prepare for certification exams.

Career Guidance

Receive career guidance and mentorship.

Network Security Project

Analyze an authorized network environment and document discovered services and security observations.

Web Security Project

Perform controlled security testing against a deliberately vulnerable web application.

Python Security Project

Create a Python-based network or security automation utility.

Digital Forensics Project

Analyze a controlled forensic dataset and prepare an investigation report.

AI Security Project

Analyze security risks associated with an AI/LLM application in a controlled environment.

Practical-First Approach

Focus on understanding concepts through hands-on cybersecurity exercises.

Cybersecurity + AI

Learn traditional security concepts alongside emerging AI security topics.

Security Tools

Gain exposure to widely recognized cybersecurity tools.

Structured Learning

Progress from fundamentals toward more advanced security concepts.

Authorized Security Testing

Learn ethical hacking in controlled environments with emphasis on responsible and legal security research.

Indian Cybersecurity Brand

A7 Security Hunters is a cybersecurity education and research organization incorporated in 2022, with training experience since 2018.