E&ICT Academy IIT Kanpur GenAI in Cybersecurity Course: Syllabus, Fees, Duration & Career Scope

If you have been looking for a comprehensive cybersecurity program powered by GenAI, E&ICT Academy, and IIT Kanpur, has the best course for you. The GenAI in cybersecurity is your ultimate go-to course as it perfectly blends Generative AI and large language models (LLMs), and focuses on hands-on cybersecurity tools to prepare you for the best roles. If you seek details, here are the topics you can expect to explore. 

• Introduction to Generative AI and LLMS

You can explore the basics of Generative AI and Large Language Models and understand how they work and how prompt engineering helps control AI responses.

• Cybersecurity Fundamentals and AI Threats

This section covers the basics of cybersecurity, like common threats and attack types. It also focuses on explaining how AI tools can both help and harm cybersecurity systems.

• Phishing Detection Using AI

You can deeply understand phishing techniques and how to detect them. You will also get a chance to build a tool using LLM APIs that flags suspicious links and URLs.

• Automating Data Breach Detection

This section will teach you to automate the process of finding leaked or stolen data. It will also familiarize you with AI’s capabilities to scan the internet for sensitive information in real time.

• Email Header Analyzer with n8n

You will learn to analyze email headers to trace sources of malicious emails and also use n8n (a no-code automation tool) to build an email analysis workflow.

• Reconnaissance Automation Tools

This section will cover automation tools like Shodan, Nmap, and Amass that are most efficiently used for gathering data about potential security threats. These tools save time and help improve accuracy.

• Web App Fingerprinting and CVE Tracking

You will be able to identify what technologies a website uses and track known vulnerabilities (CVEs). You will also explore how AI helps map this data quickly and efficiently.

• HTTP Header Bug Detection

This section will help you explore HTTP headers for weaknesses that hackers might exploit and how AI tools are used to detect unusual patterns or bugs.

• SSL Certificate Analysis Using AI

You will learn how to read SSL certificates and use AI to check for security flaws in encryption and website authenticity.

• LLM Hacking & Red Teaming

You will focus on how AI can be attacked using malicious prompts. You will also be able to practice ethical red teaming by testing models for security gaps.

• AI-Driven Compliance Checks

The section will familiarize you with the use of AI to automate the checking of cybersecurity policies and compliance reports. This process helps ensure organizations follow legal and safety standards.

• Vulnerability Report Automation

You will learn to generate clear, detailed reports on system vulnerabilities using AI. This makes security documentation faster and easier.

• Ethical, Legal, and AI-Based Threats

This section will discuss the ethics and laws around AI use in cybersecurity. It also covers deepfakes, AI-generated malware, and responsible practices.

• Security Digest Automation

Eventually, you will be able to build a tool that collects daily cybersecurity news using AI and n8n. This will help you and your team stay updated with minimal effort.

• Capstone Project: AI Model Fine-Tuning

The capstone project is where you will be able to apply all the knowledge and skills you have acquired through this course. You will fine-tune an AI model to solve a cybersecurity task of your choice.