Artificial Intelligence and Machine Learning Courses

AI+ Security Level 2

Length 5 days
Price NZD 4350 exc GST
Inclusions Exam Voucher

Course overview

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Why study this course

The AI+ Security Level 2 course offers a comprehensive understanding of the intersection between Artificial Intelligence (AI) and cybersecurity. Beginning with essential Python programming, the course covers fundamental AI principles to equip professionals with the skills to detect and mitigate cyber threats using Machine Learning. It progresses to advanced topics, including AI-driven authentication and Generative Adversarial Networks (GANs) for simulating attacks and enhancing defenses.

Through real-world examples, practical exercises, and a Capstone Project, learners gain hands-on experience in applying AI to cybersecurity challenges. The program highlights the key AI concepts such as Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP), empowering professionals to effectively protect digital assets against modern cyber threats.

Exam and certification

This course also prepares students for the AI+ Security Level 2 certification, and an exam voucher is included with the course.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

This course offers a combination of online labs, projects, and case studies.

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What you’ll learn

This course is designed to teach participants how to:

Use AI algorithms for detecting various cybersecurity threats, including email threats, malware, and network anomalies, enhancing security monitoring capabilities
Implement advanced AI-based user authentication systems, improving security protocols to verify user identities more accurately and resist fraudulent attempts
Apply machine learning techniques to predict, detect, and respond to cyber threats effectively, using data-driven insights
Use AI tools to automate and enhance penetration testing processes, identifying vulnerabilities more efficiently and comprehensively than traditional methods

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Cybersecurity Professionals
IT Professionals and System Administrators
Cloud Architects and Engineers
Risk Management Specialists
Business Leaders and Decision Makers
Software Developers
Security Consultants and Advisors

Course subjects

Module 1: Introduction to Artificial Intelligence (AI) and Cyber Security

Understanding Cyber Security Artificial Intelligence (CSAI)
An Introduction to AI and its Applications in Cybersecurity
Overview of Cybersecurity Fundamentals
Identifying and Mitigating Risks in Real-Life
Building a Resilient and Adaptive Security Infrastructure
Enhancing Digital Defenses using CSAI

Module 2: Python Programming for AI and Cybersecurity Professionals

Python Programming Language and its Relevance in Cybersecurity
Python Programming Language and Cybersecurity Applications
AI Scripting for Automation in Cybersecurity Tasks
Data Analysis and Manipulation Using Python
Developing Security Tools with Python

Module 3: Application of Machine Learning in Cybersecurity

Understanding the Application of Machine Learning in Cybersecurity
Anomaly Detection to Behaviour Analysis
Dynamic and Proactive Defense using Machine Learning
Safeguarding Sensitive Data and Systems Against Diverse Cyber Threats

Module 4: Detection of Email Threats with AI

Utilising Machine Learning for Email Threat Detection
Analysing Patterns and Flagging Malicious Content
Enhancing Phishing Detection with AI
Autonomous Identification and Thwarting of Email Threats
Tools and Technology for Implementing AI in Email Security

Module 5: AI Algorithm for Malware Threat Detection

Introduction to AI Algorithm for Malware Threat Detection
Employing Advanced Algorithms and AI in Malware Threat Detection
Identifying, Analysing, and Mitigating Malicious Software
Safeguarding Systems, Networks, and Data in Real-time
Bolstering Cybersecurity Measures Against Malware Threats
Tools and Technology: Python, Malware Analysis Tools

Module 6: Network Anomaly Detection using AI

Utilising Machine Learning to Identify Unusual Patterns in Network Traffic
Enhancing Cybersecurity and Fortifying Network Defenses with AI Techniques
Implementing Network Anomaly Detection Techniques

Module 7: User Authentication Security with AI

Introduction
Enhancing User Authentication with AI Techniques
Introducing Biometric Recognition, Anomaly Detection, and Behavioural Analysis
Providing a Robust Defence Against Unauthorised Access
Ensuring a Seamless Yet Secure User Experience
Tools and Technology: AI-based Authentication Platforms
Conclusion

Module 8: Generative Adversarial Network (GAN) for Cyber Security

Introduction to Generative Adversarial Networks (GANs) in Cybersecurity
Creating Realistic Mock Threats to Fortify Systems
Detecting Vulnerabilities and Refining Security Measures Using GANs
Tools and Technology: Python and GAN Frameworks

Module 9: Penetration Testing with Artificial Intelligence

Enhancing Efficiency in Identifying Vulnerabilities Using AI
Automating Threat Detection and Adapting to Evolving Attack Patterns
Strengthening Organisations Against Cyber Threats Using AI-driven Penetration Testing
Tools and Technology: Penetration Testing Tools, AI-based Vulnerability Scanners

Module 10: Capstone Project

Introduction
Use Cases: AI in Cybersecurity
Outcome Presentation

Prerequisites

Completion of AI+ Security Level 1 is recommended but not mandatory
Basic Python Skills: Familiarity with Python basics, including variables, loops, and functions
Basic Cybersecurity: Basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats
Basic Machine Learning Awareness: General awareness about machine learning, no technical skills required
Basic Networking Knowledge: Understanding of IP addresses and how the internet works
Basic Command Line Skills: Comfort using the command line like Linux or Windows terminal for basic tasks
Interest in AI for Security: Willingness to explore how AI can be applied to detect and mitigate security threats

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.