Machine Learning and AI in Cybersecurity by Pearson

Course details

Transform your digital security with machine learning (ML) and AI in cybersecurity. Learn fundamental ML concepts, such as data mining and TensorFlow, and explore their application in cybersecurity, including defensive and offensive techniques for threat detection and mitigation. Dive into advanced topics like large language models, neural networks, deep fakes, and weaponized malware. Engage in practical programming to build and optimize ML models for security frameworks. Build your understanding of AI's role in cyber warfare. Ideal for cybersecurity professionals, AI software developers, and IT security personnel, this course teaches essential skills to deploy AI tools for intrusion detection, malware analysis, and more.

Learning objectives
Write and implement common machine learning algorithms.
Optimize and analyze machine learning models for cybersecurity applications.
Apply AI to real-world cybersecurity challenges, such as intrusion detection and malware analysis.

Concepts

Introduction

Machine learning and AI for cybersecurity - Introduction

Introduction to Machine Learning

Learning objectives
Current status of machine learning for cybersecurity
Basics of machine learning
Data mining basics

Defensive Uses of Machine Learning

Learning objectives
Defensive uses of machine learning
Offensive uses of machine learning

Basic Machine Learning Programming

Learning objectives
TensorFlow basics
More with TensorFlow
TensorFlow issues
Neural networks with TensorFlow

Large Language Models

Learning objectives
What are large language models
ChatGPT and alternatives
Deep fakes

Cyberwarfare

Learning objectives
Defining cyber warfare
Weaponized malware

More ML Coding

Learning objectives
Neural network variations
Clustering algorithms

Summary

Machine learning and AI for cybersecurity - Summary