Ai & Cyber Security Mastery 2025

Master the Integration of AI and Cyber Security to Protect Digital Systems and Stay Ahead of Emerging Threats

What you'll learn

Understand the role of AI in modern cyber security and how it enhances threat detection and prevention.

Learn to identify cyber security threats, vulnerabilities, and implement risk management strategies.

Master key AI tools like TensorFlow, PyTorch, and ChatGPT for securing systems and data.

Develop hands-on skills in building AI models for cyber security using Python and deep learning frameworks.

Gain proficiency in using tools like Wireshark, Splunk, and AWS GuardDuty to detect and mitigate attacks.

Explore the NIST AI Risk Management Framework and its applications in creating secure AI-driven solutions.

Learn ChatGPT with Cyber Security

Learn the basics of Cyber Security

Learn the basics of Artificial Intelligence

Learn the basics of Python

Learn the basics of PyTorch

Creating a Phishing detection System with AI

Learn the hardware tools used in Cyber Security

Requirements

Basic understanding of computers and networking.

No prior programming experience required—Python basics will be covered.

Enthusiasm to learn about AI, machine learning, and cybersecurity tools.

Access to a computer with internet connectivity.

Description

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. Python Programming – Explore Python’s power for preprocessing data, training models, and creating robust security solutions.4. Advanced Threat Detection – Utilize platforms like Splunk, Elasticsearch, AWS GuardDuty, and Microsoft Azure Security Center for modern security practices.5. Network Security and Malware Detection – Develop AI-driven systems to monitor networks and detect malware threats.6. 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!

Overview

Section 1: Introduction

Lecture 1 Introduction to Cyber Security & AI

Lecture 2 Tools and Platforms for the Course

Lecture 3 How to get the most out of this course

Section 2: Understanding AI and Cyber Security Basics

Lecture 4 Overview of Cyber Security Frameworks

Lecture 5 Key Concepts of Cyber Security & AI

Lecture 6 Introduction to Common Attack Types

Lecture 7 Hardware Tools Used in Cyber Security

Section 3: ChatGPT and Cyber Security

Lecture 8 Understanding ChatGPT

Lecture 9 Getting The Most Out of ChatGPT

Lecture 10 ChatGPT Prompt Hacking and Jailbreaking

Lecture 11 How to Use ChatGPT in Cyber Security

Section 4: Deep Learning for Cyber Security

Lecture 12 Understanding TensorFlow

Lecture 13 Deep Neural Networks

Lecture 14 Detecting Phishing Email System

Section 5: AI in Cyber Security: Tools and Techniques

Lecture 15 What is AI and How It Applies to Cyber Security

Lecture 16 How to Choose the Right AI Tools and Techniques

Section 6: Python for Cyber Security and AI

Lecture 17 Installing PyCharm with Python

Lecture 18 Introduction to Python for Cyber Security

Section 7: PyTorch and Cyber Security

Lecture 19 Understanding PyTorch

Lecture 20 Building and Training a Deep Learning Model

Section 8: NIST AI Cyber Security

Lecture 21 Understanding NIST AI

Lecture 22 Choosing the Right Frameworks

Section 9: Splunk for Cyber Security and AI

Lecture 23 Splunk and Cyber Security

Section 10: Elasticsearch with Cyber Security and AI

Lecture 24 Elasticsearch and Cyber Security

Section 11: Amazon GuardDuty with Cyber Security

Lecture 25 Amazon GuardDuty

Section 12: Azure and Cyber Security

Lecture 26 Cyber Security with Azure

Lecture 27 Machine Learning vs. Deep Learning in Threat Detection

Section 13: Zeek with Cyber Security

Lecture 28 Zeek and Cyber Security with AI

Section 14: Wireshark and Cyber Security

Lecture 29 Understanding Wireshark

Section 15: Codex AI in Cyber Security

Lecture 30 Codex AI

IT professionals looking to upgrade their skills in AI-driven cybersecurity.,Beginners interested in starting a career in cybersecurity or AI.,Data scientists and software engineers exploring applications of AI in security.,Cybersecurity enthusiasts who want to learn advanced tools and techniques.