AI INTEGRATED COURSE

Ethical Hacking Training

Ethical Hacking Training

Course Overview
Link Copied!

The Ethical hacking course is a highly sought after information security course in IT sector. Broadway Infosys is the pioneer in the field of ethical hacking training in Nepal. We have designed the training course with input from Ethical Hackers international information security consultants, and businesses.

Our ethical hacking training in Nepal course is extensive and one best priced in the country. Ethical hacking is the act of lawfully locating weaknesses on computers and information systems by replicating the intent of a malicious hacker, but to benefit instead of harm the system.

Since hacking computer systems and the network has become rampant, the demand for ethical hackers has skyrocketed. Businesses all over Nepal are recruiting ethical hackers to protect their computers and information systems.

Join our ethical hacking training to explore the limitless career opportunities in the sector.

Skills you’ll learn

System Hacking : Learn password cracking, privilege escalation, and masking operations.
Malware Analysis : Learn about types of malware and how they operate.
Social Engineering : Recognize and simulate attacks such as phishing and baiting.
Session Hijacking : Learn how to intercept and manipulate session data.

Benefits of Ethical Hacking Training

Successful completion of our job-oriented ethical hacking training in Nepal opens the door to many career opportunities. A trained ethical hacker in Nepal can work as:

  • Ethical Hacker in IT companies.
  • Information Security Expert for businesses and government offices.
  • Networking Security Professional.
  • Information System (IS) Auditor.
  • System Administrator.

Benefits of Ethical Hacking Training at Broadway Infosys

Broadway Infosys Nepal offers the best ethical hacking training in Nepal. Our instructors are certified ethical hackers with extensive experience in teaching this methodology.

  • Certified instructors.
  • Advanced ethical hacking training labs.
  • Explore how AI is used in ethical hacking for automated threat detection and response.
  • Online training facility for busy and out-of-valley professionals.
  • Friendly and interactive training environment.
  • Project work supervision from industry experts.
  • Regular practical lessons in real-world ethical hacking.
  • Job placement and/or internship opportunities.

Our graduates are hired by 350+ companies in Nepal

Time for you to be the next hire. With our advanced and industry relevant courses, you are on the right stage to start your dream career.
Find a Role
Our graduates are hired by

Lesson 1:

  • Introduction to Ethical Hacking
  • Importance of ethical hacking in modern cybersecurity
  • Ethical hacking concepts, methodologies, and frameworks
  • Overview of EH v13 syllabus and objectives
  • Current Trends in Cybersecurity
  • Evolution of threats (from traditional to AI-enhanced)
  • Role of AI in modern cybersecurity practices

  • Fundamentals of AI and Machine Learning
  • Basics of Machine Learning and AI - and their usage in cybersecurity
  • Key ML algorithms (supervised, unsupervised, and reinforcement learning)
  • Introduction to neural networks, deep learning, and natural language processing (NLP)
  • AI-Powered Cyber Threat Landscape
  • Understanding how cyber attackers leverage AI
  • Examples of AI-driven threats (e.g., automated phishing, AI-based malware)
  • Challenges in defending against AI-enhanced attacks

  • Reconnaissance Techniques
  • Traditional reconnaissance techniques: open-source intelligence (OSINT), social engineering, network scanning
  • How AI enhances reconnaissance (data mining, automated OSINT tools)
  • AI for Footprinting and Threat Intelligence
  • Introduction to threat intelligence with machine learning models
  • Hands-on labs with AI-enhanced footprinting tools
  • Tools: Maltego, Shodan, SpiderFoot, and AI-based OSINT frameworks

  • Network Scanning Techniques
  • Basics of network scanning: port scanning, vulnerability assessment, and network mapping
  • AI-Driven Network Scanning
  • Using AI for dynamic network vulnerability scanning
  • Demonstrating automated threat detection using AI-enabled network scanning tools (e.g., Darktrace, ExtraHop)
  • Hands-on lab: AI-based vulnerability scanning with Nessus and OpenVAS

  • System Hacking Phases
  • Classic techniques for gaining access, increasing privileges, staying in control, and track covering
  • Using AI in systems for detection like Intrusion Detection Systems (IDS) and prevent intrusion like Intrusion Prevention Systems (IPS)
  • AI-driven anomaly detection and pattern recognition
  • Introduction to AI-powered IDS/IPS systems
  • Tools: Splunk, QRadar, and other AI-enabled threat detection tools
  • Hands-on Lab: Detecting Intrusions with AI
  • Practicing anomaly detection and incident response with AI-enabled IDS/IPS

  • Introduction to Malware and Reverse Engineering
  • Types of malware, attack vectors, and traditional detection techniques
  • Machine Learning in Malware Detection
  • Usage of supervised and unsupervised machine learning in order to identify and classify malware
  • AI techniques in behavior-based malware detection (e.g., file and process anomaly detection)
  • Hands-on lab: Using ML to classify and detect malware (e.g., by training models on labeled malware datasets)

  • Social Engineering Techniques
  • Overview of social engineering attacks like phishing, pretexting, baiting, and tailgating
  • Using AI for Phishing Detection
  • NLP for detecting phishing emails
  • AI-based user behavior analytics to recognize anomalous actions
  • Hands-on Lab: Building an NLP model to detect phishing emails

  • Web Application Attacks
  • Common vulnerabilities: SQL injection, XSS, CSRF, and others
  • AI in Web Application Security
  • AI-based web application firewalls (WAF)
  • Real-time detection and prevention with AI-powered security tools
  • Hands-on Lab: Using AI tools for real-time web application threat detection (e.g., ModSecurity with ML add-ons)

  • Wireless Network Attacks
  • WPA/WPA2 cracking, Evil Twin, and other wireless attacks
  • AI for Wireless Intrusion Detection
  • Using AI to monitor and detect wireless network anomalies
  • AI-enabled tools for wireless security (e.g., Aircrack-ng with machine learning enhancements)

  • Mobile Threats
  • Mobile vulnerabilities and attack vectors
  • Reverse engineering and exploitation of mobile applications
  • Machine Learning for Mobile Threat Detection
  • Using ML models to detect mobile malware and anomalies
  • Hands-on lab: Analyzing mobile applications using AI-based malware detection frameworks

  • Overview of Cloud Security Threats
  • Common threats in cloud environments: data breaches, misconfigurations, account hijacking
  • AI for Cloud Security
  • Leveraging AI for cloud-native security solutions
  • Incident detection and response in cloud environments with AI-powered SIEM tools
  • Hands-on lab: Setting up an AI-driven monitoring and incident response system in a cloud environment

  • Introduction to Digital Forensics
  • Incident response steps: prepare, detect, contain, eradicate, and recover
  • AI for Incident Response and Forensic Analysis
  • Using AI for analysis of logs, sending automated alerts, and analysing root cause
  • Forensic tools with AI capabilities
  • Hands-on lab: Forensic investigation using AI-enabled tools (e.g., CrowdStrike, Sumo Logic)

  • Automating Ethical Hacking with AI
  • Overview of AI-powered automation tools and frameworks
  • Integrating AI and Python for hacking automation
  • Hands-on lab: Automating common hacking tasks using AI and Python scripts

  • Ethics and Legal Implications of AI in Cybersecurity
  • Considerations (Privacy and Ethical) with AI applications in cybersecurity
  • Legal implications, GDPR, and compliance standards
  • Career Path in AI and Cybersecurity
  • AI-powered cybersecurity: certifications, career options, and growth opportunities
  • Additional learning resources and labs for continued skill development

  • Project Outline
  • Apply skills learned throughout the course to design and implement an AI-enhanced security framework for a simulated enterprise network.
  • Deliverables: Project report and presentation showcasing solutions, tools used, and findings.
Earn a High Value Industry Certificate

Add this credential to your LinkedIn profile, resume, or CV to stand out to recruiters.

Upcoming Classes (8)
25 Aug 2025
31 Aug 2025
01 Sep 2025
07 Sep 2025
14 Sep 2025
15 Sep 2025
21 Sep 2025
22 Sep 2025