AI 与 ChatGPT 网络安全实战课:社工攻防、深伪检测与威胁防御

AI 与 ChatGPT 网络安全实战课:社工攻防、深伪检测与威胁防御

本课程系统教授如何将 ChatGPT 与人工智能技术应用于网络安全与道德黑客实践中,内容涵盖 AI 驱动的钓鱼检测、邮件过滤、深度伪造(Deepfake)、语音克隆、社工攻击、AI 防火墙、身份管理与模型攻击等关键技术。你将使用 Python 实作多个实战系统,包括恶意软件检测与 AI 安全监控。课程从零开始,无需编程或安全背景,是 2024 年掌握 AI+网络安全应用的必修之选,适合渗透测试人员、信息安全从业者与技术爱好者。

本教程为高质量英文原版视频课程,英文基础较弱的同学可通过翻译插件辅助学习。

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教程名称:Artificial Intelligence & ChatGPT for Cyber Security 2024

下载连结:https://www.nidown.com/chatgpt-43932.html

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最便捷、最实惠的 ChatGPT Plus 升级服务来了!!!

查看详情:https://www.kkmac.com/go/chatgpt

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英文原版介绍

Published 1/2024
Created by Luka Anicin,Aleksa Tamburkovski
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 76 Lectures ( 6h 29m ) | Size: 3.94 GB

Master Cyber Security/Ethical Hacking With Artificial Intelligence – Implement, Uncover Risks and Navigate The AI Era

What you’ll learn:

Learn ChatGPT for Cyber Security
Learn Prompt Engineering
Use Advanced ChatGPT functionality
Implement Bypassing ChatGPT filters
Learn Social Engineering with Artificial Intelligence
Create a Voice Clone with AI
Create Deepfake Videos For Social Engineering with AI
Learn AI Based SIEM
Learn AI Based Firewalls
Learn Email Filtering with AI
Learn AI In Identity and Access Management
Build an Email Filtering System with AI and Python
Build a Phishing detection system with AI and Python
Implement Artificial Intelligence in Network Security
Using Logistic Regression Algorithm for Network Monitoring
Create Malware Detection system with AI and Python
Learn Decision Trees Algorithm
Learn K-Nearest Neighbors Algorithm KNN
Learn Data Poisoning Attack
Cover Data Bias Vulnerability
Learn Model Vulnerabilities
Cover Ethical Concerns of Artificial Intelligence and ChatGPT
Learn Basics of Cyber Security
Learn Basics of Artificial Intelligence
Learn Basics of Python Programming

Requirements:

No Programming Knowledge or Cyber Security and AI Knowledge is required. We cover everything from scratch!
A computer(Windows/Linux/Mac) with internet connection
Python programming is required – However we have an Appendix on Python for those who need to refresh their skills

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