⏱90–120 Days
📚30 Modules
🤖AI Powered
📜Certificate Included
🎥Lifetime Access
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🔥 Why HackLearn?
- Curriculum designed by real-world cybersecurity professionals
- Advanced depth beyond standard CEH coaching
- Strong attacker mindset + defensive awareness
- AI-integrated learning for future security roles
- Hands-on labs with step-by-step guidance
- Focused on ethics, legality, and real skills
🎯 What You Will Be Able To Do After This Course
🛡Think like a real ethical hacker
🌐Analyze networks from attacker view
💻Find system & web vulnerabilities
🤖Use AI for security automation
📊Create professional security reports
🚀Prepare for CEH v13 & security roles
Module 1 – Introduction to Ethical Hacking & Cybersecurity
- Ethical hacking concepts and methodologies
- Hacker types, motivations, and attack lifecycle
- Red Team, Blue Team, and Purple Team roles
- Cyber kill chain and real-world breach analysis
- Introduction to MITRE ATT&CK framework
- Modern threat landscape and APT overview
- Career paths and specialization roadmap
Module 2 – Cyber Laws, Compliance & Ethics
- Indian IT Act and global cybercrime laws
- GDPR, data protection, and privacy fundamentals
- Authorization, scope definition, and Rules of Engagement
- Responsible disclosure practices
- Evidence handling and legal reporting basics
- Legal risks and boundaries in AI-assisted hacking
Module 3 – Networking Fundamentals for Hackers (Part 1)
- OSI and TCP/IP models with attacker perspective
- Network devices: switches, routers, firewalls
- MAC address vs IP address
- Network topologies and traffic flow
- Layer-based weaknesses and attack surfaces
- VLAN concepts and segmentation overview
Module 4 – Networking Fundamentals for Hackers (Part 2)
- TCP vs UDP behavior and handshake analysis
- DNS, DHCP, ARP, ICMP protocols
- Common ports and services
- Packet flow and protocol misuse concepts
- Network misconfigurations attackers exploit
- Introduction to tunneling and covert channels
Module 5 – Linux Fundamentals & Command Line
- Linux file system and directory structure
- Essential Linux commands for security testing
- User, group, and permission management
- Process and service management
- Bash scripting fundamentals
- Living-off-the-land binaries (LOLbins) overview
Module 6 – Windows Internals & Security Fundamentals
- Windows architecture and components
- User accounts, groups, and permissions
- Windows authentication mechanisms
- Registry overview and common misuse points
- Windows security controls and protections
- Common misconfigurations attackers target
Module 7 – AI for Ethical Hackers
- Understanding AI capabilities and limitations
- Using AI as a hacking assistant
- Prompt engineering for cybersecurity tasks
- AI-assisted attack planning and analysis
- AI for log review and pattern detection
- Ethical and safe usage of AI in hacking
Module 8 – Footprinting & Reconnaissance
- Passive and active reconnaissance techniques
- Domain, IP, and DNS footprinting
- Email, people, and organization intelligence
- OSINT data correlation and validation
- AI-assisted reconnaissance workflows
- Recon OPSEC and detection avoidance
Module 9 – Network Scanning
- Host discovery and network mapping
- Port scanning and service detection
- Version and banner identification
- Stealth and detection-aware scanning concepts
- Scan result prioritization and risk analysis
- AI-assisted scan interpretation
Module 10 – Enumeration Techniques
- User, service, and resource enumeration
- SMB, FTP, SMTP, DNS enumeration concepts
- Banner grabbing and information extraction
- Enumeration chaining for deeper access
- Mapping enumeration data to attack paths
- AI-assisted enumeration analysis
Module 11 – Vulnerability Analysis
- Understanding vulnerabilities, misconfigurations, and exposures
- CVE, CVSS scoring, and vulnerability databases
- Manual vs automated vulnerability assessment
- Exploit feasibility and real-world risk evaluation
- False-positive identification and validation
- AI-assisted vulnerability prioritization
Module 12 – System Hacking (Windows)
- Password attack techniques and authentication weaknesses
- Credential reuse and privilege escalation paths
- Account access and system compromise concepts
- Maintaining access theory and persistence basics
- Detection-aware post-exploitation planning
- AI-assisted attack path analysis
Module 13 – System Hacking (Linux)
- Linux authentication and password attack concepts
- SUID, permissions, and capability abuse
- Privilege escalation techniques overview
- Post-exploitation access management
- Kernel exploit concepts and risks
- AI-assisted troubleshooting and analysis
Module 14 – Malware Concepts & Analysis
- Types of malware and infection vectors
- Malware delivery and execution flow
- Static and dynamic analysis fundamentals
- Malware persistence and evasion concepts
- Modern malware trends and case studies
- AI role in malware detection and defense
Module 15 – Sniffing & Network Traffic Analysis
- Packet sniffing concepts and attack scenarios
- ARP spoofing and session hijacking theory
- Traffic analysis using Wireshark
- Encrypted traffic behavior patterns
- Anomaly detection and protocol abuse
- AI-assisted traffic pattern analysis
Module 16 – Social Engineering Attacks
- Psychological principles behind social engineering
- Email, web, and human-based attack techniques
- Phishing attack workflows and impact
- MFA fatigue and trust abuse concepts
- AI-generated social engineering risks
- Defense awareness and mitigation strategies
Module 17 – Denial of Service (DoS & DDoS)
- DoS and DDoS attack concepts and classifications
- Network-layer and application-layer attacks
- Botnet structures and attack coordination
- Impact analysis and business disruption
- Detection, monitoring, and mitigation strategies
- AI-based anomaly and traffic detection concepts
Module 18 – Web Application Hacking (Part 1)
- Web application architecture and technologies
- HTTP/HTTPS protocol behavior
- Authentication and session management flaws
- OWASP Top 10 vulnerabilities overview
- Input validation and access control issues
- AI-assisted web testing workflows
Module 19 – Web Application Hacking (Part 2)
- SQL Injection and database attack concepts
- Cross-Site Scripting (XSS) variants
- CSRF and request forgery flaws
- File inclusion and upload weaknesses
- Business logic vulnerabilities
- API security fundamentals
Module 20 – Wireless Network Security
- Wireless standards and security mechanisms
- Wi-Fi authentication and encryption models
- Rogue access point concepts
- Wireless attack detection strategies
- Enterprise wireless security overview
- Wireless network hardening techniques
Module 21 – Mobile Platform Security
- Android and iOS architecture fundamentals
- Mobile threat landscape and attack surface
- Mobile application security concepts
- Data storage and permission issues
- Mobile malware and privacy risks
- AI-assisted mobile security analysis concepts
Module 22 – IoT & OT Security
- IoT architecture and communication models
- Common IoT vulnerabilities and misconfigurations
- Firmware security and update risks
- OT and ICS environment overview
- IoT botnets and real-world incidents
- Secure IoT design principles
Module 23 – Cloud Computing & Security
- Cloud service and deployment models
- Shared responsibility model
- Cloud identity and access management risks
- Misconfiguration-based attack scenarios
- Cloud logging and monitoring basics
- AI-assisted cloud security monitoring concepts
Module 24 – Cryptography Fundamentals
- Encryption, hashing, and encoding concepts
- Symmetric and asymmetric cryptography
- PKI, certificates, and trust models
- Cryptographic implementation flaws
- Common cryptographic attacks
- AI limitations in cryptanalysis
Module 25 – Network & Endpoint Security
- Firewalls, IDS, and IPS fundamentals
- Endpoint protection and EDR concepts
- Log generation and monitoring
- SIEM overview and correlation basics
- Endpoint attack surface reduction
- AI-driven SOC workflow overview
Module 26 – Incident Response & Digital Forensics
- Incident response lifecycle and procedures
- Preparation, detection, and containment
- Evidence handling and forensic readiness
- Disk and memory analysis fundamentals
- Timeline reconstruction concepts
- AI-assisted incident response workflows
Module 27 – AI-Driven Ethical Hacking Automation
- Automation in reconnaissance and scanning
- AI-assisted vulnerability understanding
- Report writing and documentation using AI
- Limitations and risks of automation
- Safe and ethical automation practices
- Future of AI in offensive security
Module 28 – Penetration Testing Methodology
- Penetration testing standards and frameworks
- Engagement planning and execution phases
- Threat-based and scenario-driven testing
- Post-exploitation considerations
- Professional reporting techniques
- AI-assisted documentation and analysis
Module 29 – CEH v13 Exam Preparation
- CEH v13 domain mapping
- Exam question structure and patterns
- Scenario-based thinking approach
- Time management and elimination techniques
- Common exam mistakes and avoidance
- Mock test discussion strategy
Module 30 – Capstone Project & Career Guidance
- End-to-end ethical hacking assessment
- Network, system, and web evaluation
- AI usage documentation and justification
- Risk-based final reporting
- Career roadmap and next certifications
- Professional ethics and growth strategy
❓ Frequently Asked Questions (FAQs)
Is this course suitable for beginners?
Yes. The course starts from networking and system fundamentals and gradually moves to advanced ethical hacking concepts. No prior hacking experience is required, but consistency and practice are important.
Is AI actually used in this course?
Yes. AI is used as an assistant for reconnaissance analysis, vulnerability understanding, automation, report writing, and learning support. You will also understand the limitations and ethical use of AI.
Is this an official EC-Council CEH course?
No. This course is conceptually aligned with CEH v13 but is independently designed by HackLearn. It is not affiliated with or endorsed by EC-Council.
Will I receive a certificate?
Yes. You will receive a HackLearn Certificate of Completion after successfully finishing the course and assessments.
Do I get lifetime access?
Yes. Lifetime access to recordings, materials, and future updates (when applicable) is included.
Is this course legal and ethical?
Absolutely. All demonstrations are performed in controlled lab environments with proper authorization. The course focuses on ethical hacking, security awareness, and defense improvement.
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