Course subjects
Module 1: Foundations of AI and Machine Learning for Security Engineering
Core AI and ML Concepts for Security
AI Use Cases in Cybersecurity
Engineering AI Pipelines for Security
Challenges in Applying AI to Security
Module 2: Machine Learning for Threat Detection and Response
Engineering Feature Extraction for Cybersecurity Datasets
Supervised Learning for Threat Classification
Unsupervised Learning for Anomaly Detection
Engineering Real-Time Threat Detection Systems
Module 3: Deep Learning for Security Applications
Convolutional Neural Networks (CNNs) for Threat Detection
Recurrent Neural Networks (RNNs) and LSTMs for Security
Autoencoders for Anomaly Detection
Adversarial Deep Learning in Security
Module 4: Adversarial AI in Security
Introduction to Adversarial AI Attacks
Defense Mechanisms Against Adversarial Attacks
Adversarial Testing and Red Teaming for AI Systems
Engineering Robust AI Systems Against Adversarial AI
Module 5: AI in Network Security
AI-Powered Intrusion Detection Systems
AI for Distributed Denial of Service (DDoS) Detection
AI-Based Network Anomaly Detection
Engineering Secure Network Architectures with AI
Module 6: AI in Endpoint Security
AI for Malware Detection and Classification
AI for Endpoint Detection and Response (EDR)
AI-Driven Threat Hunting
Implementing Lightweight AI Models for Resource-Constrained Devices
Module 7: Secure AI System Engineering
Designing Secure AI Architectures
Cryptography in AI for Security
Ensuring Model Explainability and Transparency in Security
Performance Optimisation of AI Security Systems
Module 8: AI for Cloud and Container Security
AI for Securing Cloud Environments
AI-Driven Container Security
AI for Securing Serverless Architectures
AI and DevSecOps
Module 9: AI and Blockchain for Security
Fundamentals of Blockchain and AI Integration
AI for Fraud Detection in Blockchain
Smart Contracts and AI Security
AI-Enhanced Consensus Algorithms
Module 10: AI in Identity and Access Management (IAM)
AI for User Behavior Analytics in IAM
AI for Multi-Factor Authentication (MFA)
AI for Zero-Trust Architecture
AI for Role-Based Access Control (RBAC)
Module 11: AI for Physical and IoT Security
AI for Securing Smart Cities
AI for Industrial IoT Security
AI for Autonomous Vehicle Security
AI for Securing Smart Homes and Consumer IoT
Module 12: Capstone Project - Engineering AI Security Systems
Defining the Capstone Project Problem
Engineering the AI Solution
Deploying and Monitoring the AI System
Final Capstone Presentation and Evaluation
