Overview
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications
Syllabus
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- Introduction to AI and Cyber Security
-- Overview of AI in Cybersecurity
-- Importance and Applications of AI in Cybersecurity
-- Current Trends and Future Perspectives
- Understanding the Basics of Cybersecurity
-- Key Concepts in Cybersecurity
-- Types of Cyber Threats and Attacks
-- Cybersecurity Frameworks and Standards
- AI Fundamentals
-- Machine Learning vs. Deep Learning
-- Key Machine Learning Algorithms
-- Introduction to Neural Networks
- Data Collection and Preprocessing for Cybersecurity
-- Types of Data in Cybersecurity
-- Data Preprocessing Techniques
-- Feature Selection and Feature Engineering
- Machine Learning for Cyber Threat Detection
-- Supervised Learning for Threat Detection
-- Unsupervised Learning in Anomaly Detection
-- Deep Learning for Intrusion Detection
- Natural Language Processing in Cybersecurity
-- NLP Basics and its Role in Cybersecurity
-- Analyzing Threat Intelligence Data
-- Text Mining for Phishing Detection
- AI for Malware Analysis and Prevention
-- Static vs. Dynamic Malware Analysis
-- Machine Learning Techniques in Malware Detection
-- Real-time Malware Prevention Strategies
- AI in Network Security
-- Network Traffic Analysis using AI
-- Intrusion Detection Systems (IDS)
-- AI-driven Firewall Technologies
- Ethical Hacking and AI
-- Role of AI in Penetration Testing
-- Identifying AI-driven Vulnerabilities
-- Building AI Tools for Ethical Hacking
- Implementing AI-based Security Tools
-- Designing and Deploying AI Security Applications
-- Evaluating and Improving AI Systems in Cybersecurity
-- Case Studies of AI Successfully Mitigating Threats
- Privacy, Ethics, and the Future of AI in Cybersecurity
-- AI Ethics and Cybersecurity Challenges
-- Security Risks of AI Deployments
-- Future Developments and Innovations
- Capstone Project
-- Project Proposal and Design
-- Implementation of AI Solutions for Cybersecurity
-- Presentation and Evaluation of Projects
Taught by
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On-Demand
