Course curriculum

    1. Course Overview

    1. Lesson 1.1 Introduction to Machine Learning and Its Implications for Cybersecurity

    2. Lesson 1.2: The Landscape of Cyber Threats and the Role of Machine Learning

    3. End-of-Module 1 Quiz: Introduction to Machine Learning in Cybersecurity

    1. Lesson 2.1 Overview of Machine Learning Algorithms

    2. Lesson 2.2 Machine Learning Algorithms Specific to Cybersecurity

    3. Lesson 2.3: Practical Exercise: Applying Supervised Learning for Malware Detection

    4. End-of-Module 2 Quiz: Machine Learning Techniques for Threat Detection

    1. Lesson 3.1: Setting Up Machine Learning Infrastructure

    2. Lesson 3.2: Integration of Machine Learning with Existing Security Protocols

    3. Lesson 3.3: Practical Exercise: Developing a Real-Time Threat Detection System

    4. End of Module 3 Quiz: Implementing Machine Learning Solutions

    1. Lesson 4.1: Model Evaluation and Performance Metrics

    2. Lesson 4.2: Case Study: Evaluating Models in Simulated Cyber Attack Scenarios

    3. Lesson 4.3: Practical Exercise: Model Tuning and Optimisation

    4. End-of-Module Quiz: Evaluating and Tuning Machine Learning Models in Cybersecurity

About this course

  • 16 lessons

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