Cyber Security With AI Course In Kanpur

A Cyber Security Professional is a certified individual who has expertise in protecting computer systems, networks, and digital data from unauthorized access, attacks, and breaches. They are skilled in identifying vulnerabilities, implementing security protocols, monitoring threats, and ensuring compliance with industry standards.

  • Eligibility: Open to all learners
  • Class Mode: Offline/Online
  • Language: English/Hindi
  • Doubt Clearing Session: Yes
  • Duration: 1 Year
  • Difficulty Level: No Prior Knowledge Required

A course on cybersecurity with AI is a comprehensive program that blends the principles of cybersecurity with the tools of artificial intelligence and machine learning. These programs are structured to equip you with the skills to use AI for both defensive (detecting threats) and offensive (understanding attacks) purposes

Objectives
  • Ensure that sensitive information is accessed only by authorized individuals.
  • Protect data from being altered, tampered with, or destroyed by unauthorized users.
  • Keep systems, networks, and information accessible when needed without disruptions.
  • Verify the identity of users, devices, and systems before granting access.
  • Ensure that actions (like sending emails or making transactions) cannot be denied later.
  • Identify, assess, and reduce security risks effectively.
  • Maintain operations and recover quickly from cyberattacks or system failures.
Who Should Enroll ?
  • Students & Beginners
  • IT Professionals
  • Business Owners & Entrepreneurs
  • Employees in Any IndustryEmployees in Any Industry
  • Government & Defense Staff
  • Researchers & Developers
Career Opportunities:

Cyber Security is one of the fastest-growing fields in the world, offering high-paying and future-ready jobs. With the increasing number of cyberattacks, every organization needs skilled professionals to protect their data and systems.

  • Cyber Security Analyst
  • Ethical Hacker (Penetration Tester)
  • Network Security Engineer
  • Information Security Manager
  • Incident Responder
  • Cloud Security Specialist
  • AI & Cyber Security Specialist

Syllabus Duration: 25 Weeks

Module 1: Foundational Skills

Topics:

Cybersecurity Fundamentals:

You'll start with the basics of cybersecurity, including network security, common cyber threats (like malware, phishing, and ransomware), and security frameworks. You'll also learn about security operations, incident response, and threat intelligence.

AI and Machine Learning Basics:

This module introduces key AI concepts. You'll learn the difference between machine learning and deep learning, and gain a solid understanding of fundamental algorithms. You'll also become proficient in the programming language used for most AI applications, which is typically Python, and its essential libraries like scikit-learn and TensorFlow.

Module-2 : Core Concepts of AI in Cybersecurity

Topics:

Threat Detection with Machine Learning

Learn to use supervised and unsupervised machine learning models to detect anomalies and threats.

Intrusion Detection

Identifying unusual patterns in network traffic that could indicate a cyberattack.

Malware Analysis

Using machine learning to classify malicious software by analyzing its code or behavior.

Spam and Phishing Detection

Creating intelligent filters that can distinguish between legitimate and malicious emails. .

Deep Learning for Security:

This module focuses on more advanced techniques, such as using neural networks for:

Image Analysis

Detecting malicious code hidden in images or analyzing screenshots of compromised systems.

Natural Language Processing (NLP):

Analyzing text from logs, social media, or other sources to uncover threat indicators

Module-3: Advanced Topics and Practical Applications

Topics:

Adversarial AI

This is a crucial topic. You'll learn how attackers can use AI to bypass security systems. This includes

Evasion Attacks

How attackers can modify malware to trick a machine learning-based antivirus system.

Data Poisoning:

How an attacker can corrupt the training data of an AI model to make it less effective or to cause it to malfunction

Adversarial AI

This is a crucial topic. You'll learn how attackers can use AI to bypass security systems. This includes

Generative AI in Cybersecurity

You'll explore the dual-use nature of Generative AI.

Defensive Uses

How AI can automate incident response, generate realistic synthetic data for training security models, or help with vulnerability assessments.

Offensive Uses

How attackers can use generative AI to create more convincing phishing emails or to automate the creation of new malware variants.

Model Deployment and Ethics:

The course culminates in learning how to deploy the models you've built in a real-world environment. It also covers the ethical considerations of using AI in cybersecurity, including issues of bias, privacy, and accountability..

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