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Certified Ethical Hacker (CEH) with AI-Powered Cybersecurity
Course Duration:
- 90 Days
- Monday to Saturday
- 1 Hour per Day
Course Fees:
- 999 INR +91 9942216365
- Official Certification: 4500 INR (Optional)
Course Highlights:
- 100+ Hours of Classes
- AI and ML for Security: Advanced tools for analyzing cyber threats
- Hands-on Labs: Practical, real-world applications
- AI-Powered Tools and Techniques: Integrated within the learning modules
- Lifetime Access: Downloadable recordings of all sessions
- Guaranteed Job Assistance
Target Audience:
- Aspiring ethical hackers
- Security analysts and IT professionals looking to upskill
- Individuals interested in AI-powered cybersecurity approaches
Course Modules
Module 1: Introduction to Ethical Hacking and AI in Cybersecurity
- Basics of Ethical Hacking
- Cybersecurity Essentials
- Introduction to AI and ML for Cybersecurity
- AI-Powered Tools Overview
Module 2: Networking Foundations and Cybersecurity Basics
- Network Security Basics
- IP Addressing and Subnetting
- TCP/IP Model & Protocols
- AI-Assisted Network Monitoring Tools
Module 3: Footprinting and Reconnaissance with AI Tools
- Types of Reconnaissance
- Tools for Footprinting (OSINT, Shodan)
- Using AI for Enhanced Reconnaissance
- Automated Reconnaissance and Threat Intelligence
Module 4: Scanning Networks with AI
- Network Scanning Techniques (Nmap, Zenmap)
- AI-Powered Network Scanners
- Identifying Open Ports and Vulnerabilities
- Case Studies on Automated Network Scans
Module 5: Enumeration Techniques and Automation
- Understanding Enumeration
- Common Tools (Netcat, Enum4Linux)
- AI and ML for Smart Enumeration
- Automating Enumeration Processes
Module 6: Vulnerability Analysis and AI-Based Threat Detection
- Vulnerability Scanning Basics (Nessus, OpenVAS)
- AI-Driven Vulnerability Scanning Tools
- Threat Prediction and Detection with AI
- Case Studies on AI in Threat Detection
Module 7: System Hacking and Machine Learning-Based Defense
- Gaining Access Techniques
- AI-Powered Endpoint Protection
- ML Algorithms for Intrusion Detection
- Hands-on Lab: Bypassing Defenses with AI Analysis
Module 8: Malware Threats and AI-Powered Malware Analysis
- Types of Malware
- Malware Analysis Basics
- Using AI for Malware Detection and Analysis
- Practical Lab: Analyzing Malware with AI Tools
Module 9: Sniffing and Packet Analysis with AI
- Packet Sniffing Techniques
- AI in Packet Analysis
- Network Traffic Anomaly Detection
- Hands-on Lab: AI-Powered Packet Sniffing
Module 10: Social Engineering and AI-Driven Phishing Detection
- Fundamentals of Social Engineering
- AI-Based Email Filtering and Phishing Detection
- Social Engineering Awareness and AI
- Hands-on Lab: Phishing Attack Detection
Module 11: Denial of Service (DoS) Attacks and Prevention with AI
- DoS and DDoS Basics
- Using AI for DoS Attack Detection and Prevention
- Hands-on Lab: Configuring AI Tools for DoS Defense
Module 12: Web Application Hacking and AI-Powered Vulnerability Scanning
- Web Application Security Basics (OWASP Top 10)
- AI Tools for Web Application Scanning
- Practical Lab: Automated Web App Security Testing
Module 13: Wireless Network Hacking and AI in Wireless Security
- Wireless Network Security Basics
- Tools for Wireless Network Analysis
- AI-Assisted Wireless Threat Detection
Module 14: Cryptography and AI in Data Protection
- Introduction to Cryptography
- AI-Enhanced Encryption and Decryption
- Quantum Cryptography and AI
- Hands-on Lab: Implementing AI-Based Cryptography Tools
Module 15: Cloud Security and AI-Powered Cloud Monitoring
- Basics of Cloud Security
- AI for Cloud Threat Detection and Monitoring
- Case Study: AI-Enhanced Cloud Security Solutions
Module 16: Introduction to Machine Learning for Cybersecurity
- Basics of Machine Learning (ML) for Security
- Supervised vs. Unsupervised Learning
- ML Algorithms for Cyber Threat Detection
- Hands-on Lab: Building an ML Model for Threat Analysis
Module 17: Using Python for Ethical Hacking and AI
- Python Basics for Cybersecurity
- Writing AI-Powered Scripts for Penetration Testing
- Hands-on Lab: Developing Python Scripts for Security Operations
Module 18: Incident Response and AI-Powered Incident Detection
- Basics of Incident Response
- AI in Incident Management and Response
- Case Study: Real-World AI for Incident Detection
Module 19: Post Exploitation Techniques and AI in Forensics
- Post Exploitation Techniques
- AI Tools for Digital Forensics
- Practical Lab: AI-Based Forensic Analysis
Module 20: Careers in Cybersecurity and AI Integration
- Ethical Hacking as a Career
- Future Trends in AI and Cybersecurity
- Certifications and Career Paths
- Job Assistance and Networking Tips
Practical Labs and Real-World Scenarios
Each module includes practical labs, emphasizing hands-on experience. Students will complete labs using AI-driven cybersecurity tools, applying their learning to simulated real-world scenarios.
Tools and Resources Provided:
- AI-Powered Security Tools: SIEM solutions, Threat Intelligence platforms, Packet Analysis tools, etc.
- Networking and Web Scanners: Nmap, Nessus, Metasploit, Burp Suite
- Python Scripts for AI: AI-based Python code for security testing
- Machine Learning Kits: Datasets and ML tools for learning and practice
- Custom Labs and Simulations: Realistic attack and defense scenarios
