Certified Ethical Hacking/Penetration Testing Training
10 Days2 sessions available Certificate on completion
The Certified Ethical Hacking & Penetration Testing Training with AI Integration equips participants with practical skills to identify, assess, and mitigate cybersecurity vulnerabilities using ethical hacking and penetration-testing techniques. The course combines core cybersecurity concepts, reconnaissance, vulnerability assessment, network and web application security, exploitation, post-exploitation, and security reporting with Artificial Intelligence (AI) tools to enhance threat detection, vulnerability analysis, security testing, and incident response. Through hands-on labs and real-world scenarios, participants learn how to think like an attacker while applying professional techniques to strengthen organizational security, with a strong emphasis on legal, ethical, and responsible cybersecurity practices.
This training provides practical knowledge of ethical hacking, penetration testing, and AI-powered cybersecurity. Participants learn to identify vulnerabilities, assess security risks, test systems ethically, and use AI tools to improve threat detection, security analysis, and defensive strategies.
Course objectives
Understand modern ethical hacking and penetration-testing methodologies.
Conduct reconnaissance, OSINT, scanning, and vulnerability assessments.
Identify vulnerabilities across networks, systems, applications, APIs, and cloud environments.
Use industry-standard ethical hacking and penetration-testing tools.
Apply AI and Generative AI in cybersecurity analysis and automation.
Assess web, mobile, wireless, IoT, Active Directory, and cloud security.
Perform controlled and authorized penetration testing.
Analyze and prioritize cybersecurity risks and vulnerabilities.
Apply ethical, legal, and responsible cybersecurity practices.
Who should attend
The training is ideal for:
Cybersecurity & IT Professionals – Security analysts, ethical hackers, penetration testers, system and network administrators.
Software, Cloud & DevSecOps Professionals – Developers, DevOps engineers, cloud engineers, and application security teams.
Security Managers & Leaders – IT managers, ICT officers, cybersecurity managers, and technology decision-makers.
Forensics, Risk & Compliance Professionals – Incident responders, forensic analysts, auditors, risk and compliance officers.
Students & Career Transitioners – Cybersecurity students, graduates, and IT professionals moving into cybersecurity.
AI & Cybersecurity Practitioners – Professionals seeking to apply AI and automation to modern security operations.
Security Consultants & MSSPs – Cybersecurity consultants and managed security service providers.
In short: The course targets IT and cybersecurity professionals, technology leaders, students, and practitioners seeking practical skills in ethical hacking, penetration testing, and AI-powered cybersecurity.
Course content
Cybersecurity & Ethical Hacking Foundations Cybersecurity fundamentals and threat landscape Ethical hacking methodologies and penetration-testing frameworks Legal, ethical and professional considerations Attack surfaces, threat actors and common attack ve
Reconnaissance & OSINT Passive and active reconnaissance Footprinting and information gathering Open-Source Intelligence (OSINT) DNS, WHOIS, subdomain and technology discovery Attack-surface discovery and asset intelligence AI-assisted reconnaissance and
Network Scanning & Enumeration Network discovery and port scanning Service and operating-system enumeration Network mapping and asset identification Vulnerability discovery and assessment Network traffic analysis Modern scanning and enumeration tools
Vulnerability Assessment & Risk Analysis Vulnerability identification and classification CVE, CVSS and vulnerability prioritization Misconfiguration and exposure analysis Risk-based vulnerability management Automated vulnerability scanning AI-assisted vul
System & Host Security Testing Windows and Linux security assessment Privilege escalation concepts Credential and password security Local system vulnerabilities Persistence and post-exploitation concepts Security hardening and remediation
Active Directory & Identity Security Active Directory security fundamentals Users, groups, permissions and policies Identity and access management Kerberos and authentication security Privilege escalation and lateral movement concepts Identity-based attac
Web Application Security Modern web application attack surfaces OWASP Top 10 Authentication and authorization testing Session and access-control vulnerabilities Cross-Site Scripting (XSS) SQL Injection and NoSQL Injection Command injection and file-upload
API & Microservices Security REST and GraphQL API security API authentication and authorization Token and session security API endpoint discovery Rate limiting and abuse testing Microservices security AI-assisted API security analysis
Cloud Security & Penetration Testing Cloud security fundamentals AWS, Microsoft Azure and Google Cloud security concepts Cloud identity and access management Storage and database security Cloud misconfigurations Containers and cloud workloads Serverless s
Wireless & Network Security Wi-Fi security architecture Wireless reconnaissance and assessment Authentication and encryption weaknesses Rogue access points and wireless threats Bluetooth and IoT connectivity security Network segmentation and secure config
Mobile & IoT Security Android and iOS security fundamentals Mobile application security testing Mobile API security Mobile authentication and data protection IoT attack surfaces Embedded-device security concepts
Password, Credential & Authentication Security Password security and credential management Authentication weaknesses Multi-Factor Authentication (MFA) Password attacks and defensive controls Credential exposure and identity threats Modern passwordless aut
Exploitation & Post-Exploitation Understanding vulnerability exploitation Exploitation frameworks and controlled testing Privilege escalation Persistence concepts Lateral movement Post-exploitation analysis Evidence collection and security remediation
Network Traffic Analysis & Packet Security Packet capture and analysis Network protocols and traffic inspection Identifying suspicious network activity Credential and data exposure analysis Encrypted traffic concepts Network detection and response
Defensive Evasion & Security Control Testing Understanding IDS/IPS technologies Firewall and security-control assessment Endpoint Detection and Response (EDR) Honeypots and deception technologies Detection engineering concepts Assessing security-control e
AI-Powered Ethical Hacking & Cybersecurity Generative AI for cybersecurity professionals AI-assisted reconnaissance and OSINT AI-assisted vulnerability analysis AI-supported security testing and reporting AI for threat detection and investigation AI-power
Cybersecurity Automation & Modern Security Tools Security automation concepts Python and scripting for security professionals Security APIs and automation workflows SIEM and security monitoring SOAR and automated response AI-assisted security operations I
Penetration Testing Methodology & Reporting Pre-engagement and rules of engagement Scope definition and authorization Penetration-testing lifecycle Vulnerability validation Evidence collection Risk rating and business impact analysis Professional penetrat
It is a practical cybersecurity training program that teaches participants how to identify vulnerabilities, assess security risks, conduct authorized penetration tests, and use modern AI technologies and cybersecurity tools to improve security testing and threat analysis.
Basic knowledge of computers, networking, and operating systems is recommended. However, the training can accommodate learners who are new to ethical hacking and want to build practical cybersecurity skills.
AI is integrated into practical cybersecurity workflows, including reconnaissance, vulnerability analysis, threat intelligence, security investigation, automation, penetration-testing assistance, reporting, and security operations. The course also introduces emerging areas such as LLM security and prompt-injection risks
Yes. The course emphasizes practical learning through labs, simulations, controlled security environments, demonstrations, case studies, and real-world cybersecurity scenarios.
Depending on the training environment and learning objectives, participants may work with tools such as Kali Linux, Nmap, Wireshark, Burp Suite, Metasploit, vulnerability scanners, SIEM platforms, EDR technologies, cloud-security tools, OSINT tools, and AI-powered security tools.
Yes. The training covers ethical web application and API security testing, including authentication weaknesses, access-control vulnerabilities, injection attacks, XSS, SSRF, insecure configurations, API vulnerabilities, and other OWASP-related security risks.
Yes. The program introduces security assessment concepts for modern cloud environments, including AWS, Microsoft Azure, Google Cloud, cloud IAM, storage security, cloud misconfigurations, containers, Kubernetes, and serverless environments.
Yes. The training introduces Android/iOS security concepts, mobile application testing, mobile APIs, IoT attack surfaces, device security, and common vulnerabilities
Yes. While the course contains technical practical sessions, managers, auditors, risk professionals, and security leaders can gain valuable knowledge of cybersecurity risks, penetration-testing processes, vulnerability management, security controls, and remediation.
Participants may use Kali Linux and other security-focused environments, typically deployed through virtual machines or dedicated laboratory environments. Windows and Linux systems may also be used for security-testing scenarios.
Ethical hacking is legal when it is performed with explicit authorization and within an agreed scope. The course emphasizes responsible cybersecurity practices, rules of engagement, legal requirements, and professional ethics.
Yes. The training follows a structured approach covering planning, reconnaissance, scanning, vulnerability assessment, controlled testing, validation, evidence collection, risk analysis, reporting, and remediation.
The program combines ethical hacking and penetration testing with modern cybersecurity technologies, including AI, cloud environments, APIs, DevSecOps, containers, Active Directory, automation, and contemporary security frameworks. This helps participants develop skills aligned with today's evolving cybersecurity landscape rather than focusing only on traditional attack techniques.