Certified Ethical Hacking Training in Nepal

Course Overview

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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.

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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

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Ethical Hacking Training

Course Overview

Skills you’ll learn

Benefits of Ethical Hacking Training

Benefits of Ethical Hacking Training at Broadway Infosys

Our graduates are hired by 350+ companies in Nepal

Lesson 1:

1.1 Introduction to Ethical Hacking and an Overview of EH v13

1.2 An Introduction to AI and Machine Learning in Cybersecurity

1.3 Reconnaissance and Footprinting with AI

1.4 Scanning Networks with AI-Based Tools

1.5 System Hacking and AI for Threat Detection

1.6 Malware Analysis with Machine Learning

1.7 Social Engineering and AI-based Defense Mechanisms

1.8 Web Application Security with AI

1.9 Wireless Network Security and AI

1.10 Mobile Platform Security and AI

1.11 Cloud Security and AI-driven Defense

1.12 AI-Driven Incident Response and Forensics

1.13 Ethical Hacking using AI for Automation and Scripting

1.14 Ethical Hacking Ethics, Legal, and Career Development

1.15 Final Project: Implementing AI in a Cybersecurity Framework

Earn a High Value Industry Certificate

Upcoming Classes (8)