AI-Powered Cybersecurity: Master the Future of Digital Defense

What you will learn:

Apply AI and machine learning to enhance cybersecurity threat detection, prevention, and response.
Master industry-leading AI/ML tools: TensorFlow, PyTorch, ChatGPT, and more.
Gain hands-on experience with cybersecurity tools: Wireshark, Splunk, AWS GuardDuty, Azure Security Center, VirtualBox.
Utilize ChatGPT for advanced cybersecurity tasks, including automation and anomaly detection.
Develop a foundational understanding of AI and its crucial role in modern cyber defense.
Build robust cyber security models using PyTorch, including model training and evaluation.
Become proficient in using essential hardware tools in cybersecurity.
Effectively identify, assess, and manage cyber threats and vulnerabilities.
Deploy AI-driven cybersecurity models using Python and deep learning.
Apply the NIST AI Risk Management Framework to real-world security challenges.
Master fundamental cybersecurity concepts: encryption, firewalls, malware analysis.
Develop Python programming skills for security automation, data analysis, and AI model development.
Construct a functional phishing detection system using AI.
Utilize AI voice cloning for simulations and security awareness training.

Description

The future of cybersecurity is intelligent. This comprehensive course empowers you to leverage cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) to defend against sophisticated cyber threats. Whether you're a budding cybersecurity enthusiast, a student seeking advanced knowledge, or a seasoned programmer aiming to enhance your skills, this program provides a hands-on, practical approach to mastering AI-driven cybersecurity solutions.

We'll explore how AI enhances traditional security tools, enabling more proactive threat detection and response. You'll gain proficiency in essential tools like TensorFlow, PyTorch, and the innovative applications of ChatGPT for cybersecurity tasks. Learn to build and deploy AI-powered systems for tasks such as phishing detection, network security monitoring, and malware analysis. The course covers advanced topics like AI voice cloning and its security implications, allowing you to understand and mitigate emerging risks.

Practical projects are integrated throughout the learning journey, ensuring you develop real-world skills. We delve into the ethical considerations of AI in cybersecurity, equipping you with a holistic understanding of the field. You'll work with powerful platforms like Splunk, Elasticsearch, AWS GuardDuty, Microsoft Azure Security Center, and Wireshark to gain expertise in industry-standard security tools.

This isn't just theoretical knowledge; it's about building tangible skills. By the end of this course, you'll be confident in applying AI and ML techniques to build robust, resilient cybersecurity systems, protecting your organization from today's – and tomorrow's – cyber threats. Join the vanguard of AI-driven cybersecurity – enroll today!

Curriculum

Introduction

This introductory section sets the stage for the course. The "Introduction to Cyber Security & AI" lecture provides a foundational overview of the intersection of these two crucial fields. "Tools and Platforms for the Course" introduces the software and technologies you'll be using throughout your learning journey. Finally, "How to get the most out of this course" equips you with strategies to maximize your learning experience and achieve your course goals.

Understanding AI and Cybersecurity Fundamentals

This section establishes a strong theoretical foundation. You will explore "Overview of Cyber Security Frameworks," "Key Concepts of Cyber Security & AI," and "Introduction to Common Attack Types." We delve into the practical applications by examining "Hardware Tools Used in Cyber Security," and the fundamental concepts of "AI and Cyber Security Basics" are reviewed through engaging Q&A sessions.

ChatGPT and Cybersecurity

This module dives into the practical application of ChatGPT in cybersecurity. You will learn to "Understand ChatGPT" and "Get The Most Out Of ChatGPT." We'll explore advanced techniques like "ChatGPT Prompt Hacking and Jailbreaking" and provide practical guidance on "How to Use ChatGPT in Cyber Security." Interactive Q&A sessions further reinforce your learning.

Deep Learning for Cybersecurity

This module focuses on advanced techniques. You will explore "Understanding TensorFlow" and "Deep Neural Networks." The capstone project involves "Detecting Phishing Email Systems" using the knowledge acquired throughout the module, providing a practical application of deep learning principles.

AI Voice Cloning in Cybersecurity

This section explores the critical issue of AI voice cloning. The lecture "AI Voice Cloning in Cyber Security – Risks, Realities, and Defense" provides a comprehensive overview of the technology, its security implications, and strategies for defense against this increasingly sophisticated threat.

AI in Cybersecurity: Tools and Techniques

This section provides a comprehensive overview of AI tools and techniques within cybersecurity. Lectures cover "Choosing the Right Frameworks," "What is AI and How It Applies to Cyber Security," and "How to Choose the Right AI Tools and Techniques." This section provides practical guidance for applying AI effectively in cybersecurity.

Python for Cybersecurity and AI

This module introduces Python programming for cybersecurity applications. The "Installing PyCharm with Python" lecture covers the setup process, while "Introduction to Python for Cyber Security" provides foundational knowledge for using Python in security tasks.

PyTorch and Cybersecurity

This module delves into PyTorch, a powerful deep learning framework. You'll learn "Understanding PyTorch" and gain practical experience with "Building and Training a Deep Learning Model" for cybersecurity applications.

NIST AI Cybersecurity

This section explores the NIST framework for AI cybersecurity. Lectures on "Understanding NIST AI" provide a comprehensive overview of the framework and its applications, and Q&A sessions address common questions and challenges.

Cloud Security Platforms

This module covers major cloud security platforms. Lectures on "Elasticsearch and Cyber Security," "Amazon GuardDuty," "Splunk and Cyber Security," and "Cyber Security with Azure" provide practical knowledge on using these tools for enhanced security. We also explore "Machine Learning vs. Deep Learning in Threat Detection" within these cloud contexts.

Network Security Analysis Tools

This module focuses on advanced network security tools. Lectures will cover using "Zeek and Cyber Security with AI" and "Understanding Wireshark" for advanced network analysis and threat detection. We explore the capabilities of "Codex AI in Cyber Security" in this context.

Virtualization in Cybersecurity

This section covers using virtualization in cybersecurity. The lecture "VirtualBox in Cybersecurity" explores the practical applications of VirtualBox in creating secure and isolated environments for testing and analysis.