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CEH v13 AI Training Overview
Advance your skills through classroom and online CEH v13 AI training provided by WebAsha Technologies in Akola. This program delivers practical experience in AI-enhanced ethical hacking, enabling defense against evolving intelligent threats using automation and analytics. Suitable for beginners and professionals, it includes complete preparation for the CEH v13 AI exam and career development.
Overview of CEH v13 AI
The CEH v13 AI certification integrates artificial intelligence into ethical hacking practices. It certifies proficiency in applying AI for offensive security and defensive strategies. The exam is fully practical, requiring real-time use of AI tools under time constraints.
Coverage includes AI-powered reconnaissance, deepfake creation, adversarial model attacks, automated exploitation frameworks, AI orchestration, and generative AI vulnerabilities. In-depth lab sessions ensure readiness for certification.
Course Structure
The program develops expertise via scenario-based labs and exercises. Learners master AI intelligence gathering, deepfake techniques, model poisoning, automated scanning and exploitation, and AI-driven response. Emphasis on hands-on practice aligns with exam requirements.
Target Participants
Ideal for IT administrators, security officers, and developers seeking advanced AI hacking certification. Also suitable for recent graduates, banking professionals, and Akola residents transitioning to cybersecurity. Accommodates varying experience levels with progressive learning.
Core Modules
- AI Offensive Tools: Frameworks and vulnerability mapping.
- AI Recon: Enhanced OSINT and profiling.
- Deepfakes & Phishing: Multimedia attack creation.
- Adversarial Attacks: Poisoning and evasion methods.
- Automated Testing: AI scanning and exploitation.
- AI Defense: Anomaly detection and remediation.
- Generative Risks: Prompt and data leakage attacks.
- Ethics & Governance: Responsible AI practices.
- Exam Mastery: Timed labs and strategies.
System Requirements
Recommended: Basic IT knowledge and introductory Python. Online participants require stable internet and a capable device (GPU preferred) for optimal lab access.
Suggested Background
Prior exposure to networking or ethical hacking beneficial. Knowledge of Python and basic machine learning accelerates learning.
Career Impact
The CEH v13 AI credential opens doors to AI-focused security positions. Typical roles include AI Penetration Tester, Adversarial ML Specialist, Automated Security Analyst, AI Defense Engineer. In Akola and nearby regions, salaries range from ₹8 LPA to ₹25 LPA, with strong remote and national opportunities.
Tops Tools Covered in CEH v13 AI Course Training
| Category | Tools Covered |
|---|---|
| Reconnaissance & Footprinting | nmap, dnsenum, theHarvester, Maltego, Shodan, Google Dorks, WHOIS, Recon-ng |
| Scanning & Enumeration | Nessus, OpenVAS, Nikto, Enum4linux, SMBClient, SNMPWalk, LDAPSearch |
| Vulnerability Analysis | Nessus, OpenVAS, OWASP ZAP, Burp Suite Scanner, Acunetix |
| System Hacking | Metasploit, Hydra, John the Ripper, Hashcat, Mimikatz, CrackMapExec |
| Web Application Hacking | Burp Suite, OWASP ZAP, sqlmap, XSSer, Commix, Wappalyzer |
| Wireless & Mobile Hacking | Aircrack-ng, Kismet, Wireshark, Mobile Security Framework (MobSF), Frida |
| Network Sniffing & MITM | Wireshark, tcpdump, Ettercap, Bettercap, sslstrip, arpspoof |
| Social Engineering | Social-Engineer Toolkit (SET), Gophish, Maltego, LinkedIn Scraping |
| Cloud Security | AWS CLI, Azure CLI, CloudSploit, Prowler, ScoutSuite, Pacu |
| AI-Powered Tools & Techniques | ChatGPT for Recon, AI-based Payload Generation, Deepfake Tools, Adversarial ML Testing |
| Post-Exploitation & Persistence | Meterpreter, Empire, Covenant, PowerSploit, BloodHound, CrackMapExec |
| Cryptography & Steganography | OpenSSL, Steghide, ExifTool, Binwalk, Foremost |
| Reporting & Compliance | Dradis, KeepNote, CherryTree, PwnDoc, Faraday |
Curriculum CEH v13 AI
Certified Ethical Hacker v13 AI Curriculum
Download SyllabusThe CEH v13 AI curriculum covers 20 modules including reconnaissance, scanning, exploitation, cloud security, adversarial AI, automated pentesting, and real-world AI attack simulations aligned with the EC-Council exam blueprint.
- Core principles of ethical hacking.
- Legal considerations and ethics.
- Threat landscape overview.
- Lab setup and course workflow.
- OSINT techniques for information gathering.
- Passive and active reconnaissance methods.
- Tools like Shodan, Whois, Google Dorking.
- Analyzing collected data for targets.
- Network discovery techniques.
- Port scanning with Nmap and Masscan.
- Scan result analysis and interpretation.
- Evasion techniques for stealth scanning.
- Service and user enumeration.
- Banner grabbing techniques.
- SMB, LDAP, NetBIOS enumeration.
- Automated tools for efficient enumeration.
- Using scanners like Nessus, OpenVAS.
- CVE database analysis.
- Vulnerability prioritization.
- Remediation planning strategies.
- Gaining access techniques.
- Privilege escalation on Windows/Linux.
- Post-exploitation activities.
- Maintaining access methods.
- Types of malware (viruses, trojans).
- Sandboxing and analysis techniques.
- Reverse engineering basics.
- Detection evasion methods.
- Packet capturing with Wireshark.
- Protocol analysis techniques.
- Man-in-the-Middle (MITM) attacks.
- Countermeasures against sniffing.
- Psychology behind social engineering attacks.
- Phishing and vishing simulations.
- Physical security testing methods.
- Mitigation strategies and training.
- DoS/DDoS attack types and vectors.
- Amplification techniques.
- Detection methods.
- Mitigation practices.
- Cookie and session manipulation.
- XSS, CSRF attacks.
- Web session hijacking strategies.
- Defensive measures.
- OWASP Top 10 flaws.
- Input validation vulnerabilities.
- File upload attacks.
- Secure coding best practices.
- SQL injection techniques (union, blind).
- Database enumeration methods.
- Exploiting database vulnerabilities.
- Hardening strategies for databases.
- Wireless protocols overview.
- WEP/WPA cracking methods.
- Rogue AP setup and attacks.
- Secure Wi-Fi deployment techniques.
- Embedded device attack vectors.
- Firmware analysis techniques.
- OT protocols overview.
- Securing IoT ecosystems.
- Cloud architecture vulnerabilities.
- Identity misconfiguration exploits.
- S3/Blob storage attacks.
- Cloud hardening best practices.
- Symmetric/asymmetric cryptography.
- TLS/SSL attacks.
- Certificate management.
- Key management best practices.
- Mobile OS threats (Android/iOS).
- App security analysis.
- Insecure storage exploits.
- Device hardening techniques.
- Evidence collection and preservation.
- Forensic tool usage (Autopsy, FTK).
- Log analysis techniques.
- Incident response workflows.
- End-to-end pentest processes.
- Evidence-based reporting.
- Remediation guidance.
- Real-world scenario labs.
Meet Our AI Cybersecurity Expert
Mr. Satyendra Pal
Principal CEH v13 AI Trainer | AI Security Specialist | Mentor
Mr. Satyendra Pal is among India’s leading CEH v13 AI certified instructors, with extensive experience in AI-powered ethical hacking, machine learning security, and automated defense systems.
As chief mentor at WebAsha Technologies, he has successfully guided thousands toward this pioneering certification.
His instruction focuses on real-time AI labs where students actively engage with building and securing AI environments. Known for making complex concepts accessible, he delivers practical, exam-oriented training.
Alumni consistently achieve certification success and secure advanced positions in AI security across leading organizations worldwide.
- 14+ Years in AI Cybersecurity and Ethical Hacking
- Trained Over 100K Professionals Globally
- Early Adopter CEH v13 AI Trainer in India
- Expert in Live AI Model Attacks and Defense Labs
Our Mentorship Framework
Participants benefit from structured guidance under Mr. Satyendra Pal and the CEH v13 AI faculty, including:
- Live AI Labs: Hands-on work with current models and tools.
- Exam Preparation: Timed challenges and review sessions.
- Personalized Support: Small batches for direct interaction.
- Career Guidance: Resume enhancement and interview practice.
Self Assessment
Learn, Growth & Test your skills with online Assessment Exam to achieve your certificaion goal
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CEH v13 AI Certification Program
The CEH v13 AI certification establishes expertise in AI-integrated ethical hacking, recognized globally as essential for future-focused cybersecurity roles.
- Pioneering AI Credential: First certification proving AI offensive and defensive skills.
- Performance-Driven: Validates real-world AI application.
- Career-Ready: Aligns with emerging AI security demands.
- Prerequisites: Basic Python and cybersecurity knowledge suggested.
- Validity: 3 years worldwide.
- Exam Style: Hands-on AI lab challenges.
- Language: English.
Our Recent Certified Candidates
CEH v13 AI Exam Details and Format
| Attribute | Details |
|---|---|
| Exam Name | Certified Ethical Hacker v13 AI (CEH v13 AI) |
| Exam Duration | 240 Minutes |
| Number of Questions | 125 (AI-Enhanced) |
| Exam Fee | 25,000 + Taxes for India For Discount |
| Validity | 3 Years |
| Exam Code | 312-50-AI |
| Exam Format | AI Lab + Multiple Choice |
| Passing Score | 70% (Adaptive) |
| Eligibility | Basic Cybersecurity knowledge recommended |
| Languages | English |
| Mode | Online Proctor / In-Person |
Passing Criteria for CEH v13 AI Exam
Achieve 70% overall in the combined AI lab and MCQ sections (240 minutes). WebAsha Technologies in Agartala offers complete preparation support. Exam fee: ₹25,000 + taxes (India). Certification valid 3 years. Available in English with online or in-person proctoring.
Career Opportunities and Salary After CEH v13 AI
The CEH v13 AI certification focuses on AI-integrated offensive security, preparing professionals to counter intelligent threats like automated attacks and model manipulation.
Market projections indicate steady growth in AI security positions through 2026, with increasing opportunities in regional hubs.
| Job Title | Key Responsibilities | Average Salary (INR) |
|---|---|---|
| AI Ethical Hacker | Tests AI/ML systems with adversarial and generative techniques. | Fresher: ₹8 – 14 LPA Experienced: ₹18 – 30 LPA |
| ML Security Engineer | Protects ML models from poisoning and evasion attacks. | Fresher: ₹7 – 12 LPA Experienced: ₹16 – 28 LPA |
| AI Red Teamer | Conducts simulated AI-powered attack scenarios. | Fresher: ₹8 – 13 LPA Experienced: ₹18 – 32 LPA |
| Automated Pentester | Deploys AI for ongoing vulnerability detection. | Fresher: ₹7 – 11 LPA Experienced: ₹15 – 26 LPA |
| AI SOC Analyst | Manages AI-supported security monitoring. | Fresher: ₹6 – 10 LPA Experienced: ₹14 – 24 LPA |
Note: Based on 2024–2026 market trends. Actual pay varies by employer and location.
Outlook: Rising AI adoption in agriculture and finance will drive demand by 2026.
Global Demand: Certified professionals are sought for AI security projects worldwide.
Benefits of CEH v13 AI Certification
With deepening AI use in regional operations, securing these technologies is essential. The CEH v13 AI qualification delivers knowledge in assessing model risks and designing defenses.
Hands-on labs provide experience with current AI attack and protection methods.
- Market edge: Access specialized roles in model security.
- Higher compensation: AI experts earn significant premiums.
- Cross-sector mobility: Opportunities in manufacturing, finance, and tech.
- Future-proof skills: Robustness, monitoring, and privacy expertise.
- Practical depth: Work with LLMs, GANs, and automation tools.
- Growth trajectory: Advance to leadership in AI security.
- Strong portfolio: Real experiments and mitigation reports.
Premier CEH v13 AI Training & Certification in Akola
Akola, a prominent city in Maharashtra's Vidarbha region, functions as a major hub for cotton trade, agricultural processing, banking, and education. The area is experiencing increased digital integration through e-governance services, online banking, cooperative digital platforms, and agri-tech applications, making local institutions and businesses more connected yet vulnerable to advanced cyber risks.
The CEH v13 AI (Certified Ethical Hacker v13 with Artificial Intelligence) course targets these evolving threats in Akola and surrounding districts. It emphasizes AI-based attack methods, automated testing tools, adversarial learning, deepfake threats, and intelligent defense mechanisms. Participants receive practical training via dedicated AI labs, simulated environments, and exam-oriented challenges reflecting real regional scenarios.
As cooperative banks, ginning mills, educational bodies, and government offices in Akola adopt digital payment systems, cloud storage, and AI-supported processes, securing these infrastructures against sophisticated attacks is vital. CEH v13 AI training develops abilities to evaluate risks in AI applications, networked systems, financial platforms, and automated workflows, benefiting local organizations.
This course particularly supports local graduates, banking staff, IT personnel, and cybersecurity enthusiasts in Akola aiming for specialized careers locally or remotely. Focused on hands-on AI tools, practical simulations, and certification preparation, it prepares learners for roles in regional banks, agri-businesses, government projects, and wider IT security teams.
For individuals in Akola, the CEH v13 AI certification provides access to emerging positions like AI Penetration Tester, Cybersecurity Specialist, Threat Analyst, Automated Tester, and ML Security Expert. It enhances personal career growth while supporting secure digital advancement in Akola's agricultural and financial ecosystem. As AI tools expand in local sectors, CEH v13 AI emerges as a key qualification for Akola's ongoing cybersecurity needs.
