Gen AI in Cyber Security

Self-Paced | 30 Hours | Basic Certification
₹17,698.82 (Inc. GST)

Category: Cyber Security

The “Gen AI in Cyber Security” program is a beginner-friendly, live online course designed to equip learners with essential knowledge and hands-on skills in applying generative AI technologies to the field of cybersecurity. It covers fundamental AI concepts, threat detection, vulnerability management, and ethical considerations tailored to cybersecurity contexts.

Course Details:

Duration: 30 Hours (Includes 15 hours of on-demand video content and 15 hours of interactive assignments, quizzes, and curated reference materials)
Mode: Self-Paced Learning
Level: Beginner
Prerequisites: None
Certificate: Yes
Assignments: Yes

Learning Outcomes

Boost your career with a certification endorsed by E&ICT Academy, IIT Kanpur
Understand the core concepts of Generative AI and its role in modern cybersecurity
Explore practical applications of Generative AI in threat detection, defense, and automation
Identify and assess AI-specific security risks, vulnerabilities, and potential attack vectors
Use accessible tools to mitigate AI-related threats and strengthen cybersecurity defenses
Deploy, configure, and work with open-source AI tools for real-world security use cases
Evaluate the ethical, privacy, and legal implications of integrating AI in cybersecurity systems

Key Features:

A compact, focused, and results-oriented learning experience.
Peer Networking & Collaborative Learning
No prior experience required – perfect for students and professionals alike.
Hands-on Labs & Real-World Projects

Target Audience

Students and Fresh Graduates who want to build future-ready skills in a high-demand domain
Career Switchers from tech or non-tech backgrounds seeking a fast-track into cybersecurity
IT Professionals and Network Engineers looking to transition into AI-powered security roles
Anyone Curious About AI in Cybersecurity with a passion for emerging technologies

Additional information

Centre for Summer Training	Hybrid Mode (Online Live + CIP), Online Live

Curriculum

Module 1: Introduction to Generative AI, LLMs, use cases, and prompts

Introduction to Gen AI and LLM
Gen AI Use Cases
Application of Gen AI in Different Areas
Prompt Engineering

Module 2: Cybersecurity basics, AI threats, prompt injection, and co-pilots

Cybersecurity Fundamentals
Common Cyber Threats
AI Threats in Cybersecurity
Cybersecurity LLMs
Basics of Prompt Injection
Cybersecurity Co-Pilots

Module 3: Phishing fundamentals and building phishing URL detector with AI

Basics of Phishing
Practical – Building Phishing URL Detector with LLM API

Module 4: Introduction to data breaches and automated breach detection tool

Introduction to Data Breach
Practical – Building Data Breach Detection Automation Tool

Module 5: n8n basics, email headers, and lightweight email header analyzer

Basics of n8n for Automation
Understanding Email Header
Practical – Building Lightweight Email Header Analyser

Module 6: Reconnaissance basics and automating recon with AI-powered tools

Basics of Reconnaissance
Practical – Automating Recon with Amass, Shodan and Nmap using AI

Module 7: Web app fingerprinting and CVE tracking with AI automation

Basics of Web Application Fingerprinting
Practical – Automation Web Application Fingerprinting Using Builtwith, Ollama and Excel
Practical – Track CVE Vulnerability & History with NVD Details

Module 8: HTTP headers analysis and finding bugs using AI tools

Understanding Different Types of HTTP Headers
Practical – Header Analysis with AI and Finding Bugs in headers

Module 9: SSL certificate fundamentals and AI-based SSL certificate analysis

Understanding SSL Certificated
Practical – Analysing SSL Certificate with AI

Module 10: LLM hacking, prompt injection attacks, and red teaming exercises

LLM Hacking
Prompt Injection Attacks
Practical – Adversarial Prompt Testing and Defense
Practical – LLM Red Team

Module 11: Cybersecurity compliance concepts and AI-assisted policy compliance checks

Understanding Cybersecurity Compliances
Practical: AI-Assisted Security Policy Compliance Checker

Module 12: Writing vulnerability assessment reports and AI-driven report automation

Vulnerability Assessment Report Writing
Writing Reports using AI
Automating Report Writing
Practical: Automatically generate prioritized penetration testing playbooks based on vulnerability scan data.

Module 13: Ethical AI use, legal compliance, and emerging AI cybersecurity threats

Ethical AI use in cybersecurity and penetration testing
Legal boundaries and compliance essentials
Emerging AI threats: AI-powered malware, prompt injections, deepfakes
Preparing for responsible AI-powered security practices

Module 14: Continuous learning importance and AI-powered security digest automation

Importance of Continuous Learning and getting updated in Cybersecurity
Practical: Building Intelligent AI Digest for Security, Privacy, and Compliance Feeds using n8n

Module 15: Capstone Project – Fine-tuning AI models and practical fine-tuning exercises

Understanding the Steps of Fine Tuning
Pratical – Fine Tuning an AI Model

Enquiry

Instructor Profile

Name: Adarsh Kant

About:

Mr Adarsh is Founder & CEO of Cyber3ra and a renowned Cyber Security experts with 6+ years of experience in cybersecurity where he has trained over 14000+ students and professionals across the globe. He has worked with RBI, Ordinances Factory, IIT Kanpur, John Deere and many other companies in the past.

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