[Update Links] Malware Forensics v2: Classic&AI/ChatGPT in Decoding&Evasion | Udemy


Malware Forensics v2: Classic&AI/ChatGPT in Decoding&Evasion | Udemy
English | Size: 1.30 GB
Genre: eLearning

Harnessing Classic Techniques, AI Strategies, and ChatGPT for Comprehensive Malware Analysis

What you’ll learn
Malware Forensics
Malware Analysis, Intrusion and Prediction
Digital Forensics
Static Malware Analysis
Cloud-Based Malware Analysis
Malware Forensics using AI
Static Malware Analysis with AI
Reverse Engineering using AI
Assembly analysis using ChatGPT
Malware Analysis with ChatGPT
Malware Decoding
Malware Evasion Analysis
Encrypted Malware Analysis

“Dive into the dynamic realm of cybersecurity with our in-depth course, ‘Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis’ Tailored for both professionals and enthusiasts, this course blends classic techniques with AI and ChatGPT innovations, providing you with essential skills for comprehensive malware analysis and the foresight to anticipate emerging threats.

Chapter 1: Introduction to AI-Driven Malware Forensics

Embark on your journey with an overview of AI in cybersecurity. Understand AI’s crucial role in revealing malware intricacies, setting a solid foundation in malware forensics, and outlining the course objectives.

Chapter 2: Decoding the Hidden – Unpacking and Analyzing Encoded Malware

Delve into the complexities of encoded malware. Master malware obfuscation and evasion techniques through hands-on labs employing UPX, PEiD, and EXEinfo PE. Learn to decode executables and analyze packed malware, gaining insights from encoded files.

Chapter 3: Advanced Evasion Techniques and Analyzing Encrypted Malware

Navigate through advanced evasion strategies and encrypted malware analysis. Engage in practical labs to understand encrypted malware analysis, payload encryption, and behavioral analysis of encrypted executables, enhancing your response to sophisticated evasion techniques.

Chapter 4: AI & ChatGPT Driven Malware Analysis : Static Techniques to Reverse Engineering

Focus on integrating AI and ChatGPT for analyzing malware, from fundamental static file analysis to advanced predictive modeling. Labs featuring AI, neural networks, and random forest regressors will deepen your understanding of malware impact prediction and ChatGPT-Assisted Reverse Engineering in Malware Assembly Analysis.

Chapter 5: Advancing into Next-Gen ChatGPT and AI-Driven Malware Analysis

Conclude with a detailed recap and integration of learned concepts. Get a glimpse into advanced AI-driven malware analysis topics, preparing you for continuous learning in this rapidly evolving field.”

Throughout the course, hands-on labs will provide practical experience and this course is not just about learning; it’s about mastering the tools and techniques that will keep you one step ahead in the cybersecurity arena. Enroll now to transform your understanding of malware and fortify your skills in the AI-driven world of cyber defense.

There will also be the inclusion of :

Lifetime Access to The Course

Quick and Friendly Support in the Q&A section

Udemy Certificate of Completion

Enroll now and become a cybersecurity expert with the power of AI on your side!

See you in the “Malware Forensics v2: Classic & AI/ChatGPT in Decoding & Evasion Analysis.” 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.

Who this course is for:
Anyone who want to enhance skills in cyber security threat detection
Any people who want to create added value to their cyber security business
Any one who want to start or pursue career in Digital Forensics
Any one who want to start or pursue career in Malware Forensics
Any one who want to start or pursue career in Malware Analysis
Anyone who want to enhance skills in Malware Analysis
Anyone who want to enhance skills in Cloud based Malware Analysis
Any one who are not satisfied with their job, but want to become Malware Analysis Expert

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