AI & Cyber Security Mastery 2025

Overview

Master the Integration of AI and Cyber Security to Protect Digital Systems and Stay Ahead of Emerging Threats What you'll learn:

Understand the impact of AI in modern cyber security for threat detection, prevention, and response.Master top AI and machine learning tools like TensorFlow, PyTorch, and ChatGPT for building secure systems.Gain hands-on experience with cybersecurity tools such as Wireshark, Splunk, AWS GuardDuty, and VirtualBox for monitoring and attack mitigation.Learn how to use ChatGPT for cyber security tasks, from automation to anomaly detection.Explore the fundamentals of Artificial Intelligence and its role in cyber defense strategies.Build foundational skills in PyTorch, including model training and evaluation for cyber applications.Understand commonly used hardware tools in cyber security, including routers, sniffers, and firewalls.Identify and assess cyber threats, vulnerabilities, and apply effective risk management frameworks.Build and deploy AI-based cybersecurity models using Python and deep learning techniques.Apply the NIST AI Risk Management Framework to real-world cyber security challenges.Learn cyber security fundamentals, including encryption, firewalls, malware analysis, and more.Learn Python programming for security automation, data analysis, and AI model development.Design and implement a phishing detection system using artificial intelligence.Explore the use of AI voice cloning for social engineering simulations and cyber security awareness training. Cyber Security AI is the next frontier in protecting digital landscapes.

Whether you’re an aspiring AI enthusiast eager to delve into the realm of cybersecurity, a student aiming to solidify your understanding of securing systems, or a seasoned programmer looking to integrate Python and Artificial Intelligence into cutting-edge cybersecurity tools, this course is designed for you!Our hands-on and practical approach ensures you’ll learn by doing, diving into real-world applications and industry techniques. From harnessing AI tools to implementing advanced security measures, you’ll gain the skills needed to thrive in this evolving field.We’ll begin by introducing ChatGPT for Cyber Security, demonstrating how to leverage its capabilities for ethical hacking, prompt engineering, and advanced data analysis.

From there, we’ll cover essential topics, including:

1. AI in Cybersecurity Tools and Techniques – Learn how AI enhances traditional tools like firewalls, email filters, and intrusion detection systems.2.

Deep Learning for Cybersecurity – Master TensorFlow, PyTorch, and neural networks by building phishing detection systems and more.3. AI Voice Cloning and Security Implications – Learn how AI-generated voice cloning works, its use in social engineering, and how to defend against audio-based phishing threats.4.

Python Programming – Explore Python’s power for preprocessing data, training models, and creating robust security solutions.5. Advanced Threat Detection – Utilize platforms like Splunk, Elasticsearch, AWS GuardDuty, and Microsoft Azure Security Center for modern security practices.6.

Network Security and Malware Detection – Develop AI-driven systems to monitor networks and detect malware threats.7. AI Risks and Ethical Concerns – Delve into risks such as data bias, model vulnerabilities, and ethical considerations in AI.Throughout the course, you’ll work on projects like building phishing detection systems, analyzing network activity, and applying machine learning to real-world security problems.

By the end, you’ll have mastered the tools and techniques to protect yourself, your business, and your clients in today’s rapidly advancing threat landscape.Join us and become a leader in the transformative field of Cyber Security AI!

Syllabus

• Introduction to AI in Cyber Security
Overview of AI's Role in Cyber Defense
Introduction to ChatGPT for Cyber Security
Ethical Hacking and Prompt Engineering with ChatGPT
• Essential Cyber Security Fundamentals
Encryption Techniques
Firewalls and Intrusion Detection Systems
Malware Analysis
• AI in Traditional Security Tools
Enhancements to Firewalls, Email Filters, and IDS
Practical Applications and Case Studies
• Deep Learning for Cybersecurity
Mastering TensorFlow and PyTorch for Security Applications
Building Phishing Detection Systems
Neural Networks in Cyber Defense
• Python Programming for Security
Python for Data Preprocessing and Analysis
Security Solution Development and Automation
Building AI Models for Cybersecurity
• Advanced Threat Detection
Utilizing Splunk and Elasticsearch
AWS GuardDuty and Microsoft Azure Security Center
Modern Security Practices and Implementation
• Network Security and Malware Detection
AI-driven Network Monitoring
Malware Threat Detection with AI
Practical Exercises in Network Security
• AI Voice Cloning and Security Implications
Understanding AI-generated Voice Cloning
Social Engineering and Audio-based Phishing Threats
Defense Strategies Against Voice Cloning
• AI Risks and Ethical Concerns
Addressing Data Bias and Model Vulnerabilities
Ethical Considerations in AI-powered Security
Applying the NIST AI Risk Management Framework
• Hands-on Projects
Building a Phishing Detection System
Network Activity Analysis
Machine Learning Applications to Real-world Security Problems
• Capstone Project
Design and Implement an AI-based Cyber Security Model
Apply Course Learning to Practical Scenarios
Present Solutions and Findings
• Conclusion
Mastering AI & Cyber Security Integration
Future Trends and Emerging Threats in Cyber Security AI
Pathways to Becoming a Cyber Security AI Leader

Taught by

Emin Pazarac

Subjects

Information Security (InfoSec)