Mastering Ai For Cyber Threat Detection: A Complete Course

Excellent Practical Course to AI for Effective Cyber Threat Detection. Stay Ahead of Cyber Threats with AI and ChatGPT.

What you'll learn

AI transforming cyber security landscape

Machine Learning for Threat Detection

Deep Learning for Threat Detection

NLP for Threat Detection

ChatGPT for Cyber Threat Detection

ChatGPT for Threat Intelligence Analysis

ChatGPT for Anomaly Identification

Isolation Forest for Threat Detection

Random Forest for Threat Detection

Android Malware Detection with AI

PC Malware Detection with AI

NLP for Threat Detection

APT detection with AI

Zero-Day Vulnerability Detection with AI

Naïve Bayes for Threat Detection

Web Phishing detection with AI

Social Network Spam Detection with AI

Anomaly Detection with AI

User Behavior Analytics with AI

Ethics and Risks of AI in Security Threat Detection

Future of AI in Cybersecurity Threat Detection

Requirements

Basic knowledge of Python will be good

Basic knowledge of AI and ML will be good

But everything will be taught from the round up

Description

Welcome to the "Mastering AI for Cyber Threat Detection: A Complete Course"Are you concerned about cyber threats and how to detect them? Are you interested in revolutionizing your cybersecurity skills and staying ahead of emerging threats? Do you want to learn how to use AI to enhance your cybersecurity strategy? Look no further than our new course "Mastering AI for Cyber Threat Detection: A Complete Course"!This comprehensive course covers everything from the fundamentals of cybersecurity to advanced AI-based threat detection techniques. You'll learn how AI is transforming the cybersecurity landscape and explore real-world examples of AI-based solutions. You'll also discover how to balance strategy for artificial intelligence and human expertise for effective cybersecurity solutions.With practical, hands-on exercises, you'll gain experience in machine learning for threat detection, NLP for threat detection, deep learning for threat detection, AI-based malware detection, AI-based web phishing detection, AI-based APT detection, Anomaly Detection with AI, Social network spam detection with AI, zero-day attack detection with AI, and AI based User Behavior Analytics.But it's not just about the technology - This course also covers the ethical considerations and risks associated with AI in cybersecurity and explores the future of this evolving field. And as a bonus,  you'll get hands-on experience using ChatGPT for cyber security threat detection.Throughout this course, we will use practical approaches, hands-on exercises and techniques to help you to understand various AI enabled Cyber threats detection models that we are covering. We will show you a practical various Cyber threats detection with AI models that demonstrates how cyber threats can be detected with AI by the organizations in the real world.Whether you're a beginner or an experienced cybersecurity professional, this course is for you. With Mastering AI for Security Threat Detection, you'll gain the skills and knowledge you need to protect yourself and your organization from cyber threats. Enroll now and become a cybersecurity expert with the power of AI on your side!You'll also get:Lifetime Access to The CourseQuick and Friendly Support in the Q&A sectionUdemy Certificate of Completion Enroll now and become a cybersecurity expert with the power of AI on your side!See you in the "Mastering AI for Cyber Threat Detection: A Complete Course" course!With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.

Overview

Section 1: Introduction: Mastering AI for Security Threat Detection: A Comprehensive Course

Lecture 1 Introduction: Mastering AI for Cyber Security Threat Detection

Section 2: Introduction to AI and Cybersecurity

Lecture 2 Overview of Artificial Intelligence and Cybersecurity

Lecture 3 Importance of mastering AI for security threat detection

Lecture 4 How is AI transforming the Cybersecurity landscape

Lecture 5 Real-world examples of AI-based cybersecurity solutions

Lecture 6 Why is AI needed in Cybersecurity? Can AI replace humans in Cybersecurity?

Lecture 7 Balancing Strategy for AI and Human Experts for Effective Cybersecurity Solution

Lecture 8 Benefits of AI in Cyber Security Threat Detection

Section 3: Fundamentals of Cybersecurity

Lecture 9 Overview of cybersecurity concepts

Lecture 10 Cyber threats and attack vectors

Lecture 11 Types of cyber attacks and their impact

Section 4: Machine Learning for Threat Detection

Lecture 12 Introduction to Machine learning and its applications in cybersecurity

Lecture 13 Machine learning algorithms

Lecture 14 Building Machine learning models for Threat Detection

Section 5: Natural Language Processing (NLP) for Threat Detection

Lecture 15 Introduction to NLP and its applications in cybersecurity

Lecture 16 Techniques for analyzing and processing text data

Lecture 17 Building NLP models for Threat Detection

Section 6: Deep Learning for Threat Detection

Lecture 18 Introduction to Deep learning and its applications in cybersecurity

Lecture 19 Deep Learning Architectures

Lecture 20 Building Deep learning models for Threat Detection

Section 7: AI-based Cybersecurity Solutions

Lecture 21 Overview of AI-based cybersecurity solutions

Lecture 22 Implementation of AI-based cybersecurity solutions

Section 8: ChatGPT for Cybersecurity Threat Detection

Lecture 23 Introduction to ChatGPT

Lecture 24 ChatGPT Model Architecture & Use cases

Lecture 25 ChatGPT for Cybersecurity Threat Detection

Lecture 26 Threat Intelligence Analysis

Lecture 27 Lab: Threat Intelligence Analysis using ChatGPT

Section 9: PC Malware Detection with AI

Lecture 28 PC Malware - Introduction

Lecture 29 AI enabled PC Malware Detection

Lecture 30 Logic & Python Implementation: Random Forest for PC Malware Detection

Lecture 31 Lab: Random Forest for PC Malware Detection

Section 10: Android Malware Detection with AI

Lecture 32 Android Malware Detection

Lecture 33 Logic & Python Implementation: Random Forest for Android Malware Detection

Lecture 34 Lab: Random Forest Android Malware Detector

Section 11: Zero-Day Vulnerability Detection with AI

Lecture 35 Zero-Day Vulnerability - Introduction

Lecture 36 AI enabled Zero-Day Vulnerability Detection

Lecture 37 Logic & Python Implementation: AI Zero-Day Vulnerability Detection

Lecture 38 Lab: RF & One-Hot Encoding Zero-Day Vulnerability Detector

Section 12: Web Phishing Detection with AI

Lecture 39 Web Phishing Detection

Lecture 40 Logic & Python Implementation: NLP and RF for Web Phishing Detection

Lecture 41 Lab: NLP and RF for Web Phishing Detection

Section 13: Social Network Spam Detection with AI

Lecture 42 Social Network Spam Detection

Lecture 43 Logic & Python Implementation: NLP and Naïve Bayes Social Network Spam Detection

Lecture 44 Lab: NLP and Naïve Bayes for Social Network Spam Detection

Section 14: Countering Advanced Persistent Threats with AI

Lecture 45 Advanced Persistent Threats

Lecture 46 AI effectiveness in countering Advanced Persistent Threats (APTs)

Lecture 47 Countering APT with AI

Lecture 48 Logic & Python Implementation: Countering APT's with AI

Lecture 49 Lab: Decision Tree and Random Forest for Countering APT

Section 15: Anomaly Detection with AI

Lecture 50 Anomaly Detection

Lecture 51 Logic & Python Implementation: Isolation Forest for Anomaly Detection

Lecture 52 Lab: Isolation Forest for Anomaly Detection

Section 16: Behavioral Analytics

Lecture 53 Behavioral Analytics & User Behavior Analytics

Lecture 54 Logic & Python Implementation: User Behavior Analytics (UBA)

Lecture 55 Lab: AI User Behavior Analytics

Section 17: Ethics and Risks of AI in Security Threat Detection

Lecture 56 Ethical considerations in using AI for security threat detection

Lecture 57 Risks and limitations of AI-based security systems

Lecture 58 Strategies for risks minimization and use AI ethics in security threat detection

Section 18: Future of AI in Cybersecurity Threat Detection

Lecture 59 Emerging Trends in AI and Cybersecurity for Threat detection

Lecture 60 Opportunities and challenges for AI in Security Threat Detection

Lecture 61 Hands-on projects to build AI-based cybersecurity solutions

Lecture 62 Future of AI in Security Threat Detection

Section 19: Final Thoughts on Mastering AI for Security Threat detection

Lecture 63 Final Thoughts on Mastering AI for Security Threat detection

Anyone who want to enhance skills in cyber security threat detection using ML and AI,Any people who want to create added value to their cyber security business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools.,AI experts who want to expand on the field of cyber security applications.,Anyone passionate about developing Machine Learning, Deep Learning, NLP and Artificial Intelligence based cyber security applications,Any one who want to start or pursue career in AI based Cyber Security.,Any one who are not comfortable with coding but interested in Machine Learning, Deep Learning, Artificial Intelligence and apply it in cyber security field.,Any one who are not satisfied with their job, but want to become AI Cyber Security Expert