What You Need to Know Before
You Start

Starts 5 June 2025 02:53

Ends 5 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

Malware Forensics v5:AI &ChatGPT Mastery in Malware Analysis

Navigating the Future of Malware Forensics with AI and ChatGPT
via Udemy

4052 Courses


5 hours 24 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Paid Course

Optional upgrade avallable

Overview

Dive into the intricate and ever-evolving domain of malware forensics with "Malware Forensics v5:

AI & ChatGPT Mastery in Malware Analysis," a pioneering course crafted to arm you with the advanced knowledge and skills essential for mastering the latest cybersecurity challenges. This course emphasizes the transformative role of AI and ChatGPT in revolutionizing malware detection and analysis, setting a new benchmark in the field.

Syllabus

  • Introduction to Malware Forensics
  • Overview of Malware Types and Characteristics
    Historical Context and Evolution of Malware Forensics
  • Fundamentals of AI in Cybersecurity
  • AI Concepts and Terminology
    Machine Learning Principles Relevant to Malware Detection
  • Role of AI in Malware Detection
  • AI and Machine Learning Models in Cybersecurity
    Case Studies: Successful AI Applications in Malware Detection
  • Introduction to ChatGPT and NLP in Malware Analysis
  • Basics of Natural Language Processing
    ChatGPT: Features and Capabilities in Cybersecurity
  • Using ChatGPT for Malware Analysis
  • Automating Malware Report Generation
    Interactive Threat Intelligence Gathering with ChatGPT
  • Deep Dive into AI-Enhanced Malware Forensics Tools
  • Survey of State-of-the-Art AI Tools for Malware Forensics
    Hands-On Lab: Implementing AI Tools in Forensic Analysis
  • Advanced Malware Analysis Techniques
  • Static and Dynamic Analysis Methods
    AI-Assisted Reverse Engineering
  • AI-Based Incident Response and Remediation Strategies
  • Automated Threat Detection and Response Using AI
    Building AI-Powered Incident Response Playbooks
  • Ethical Considerations and Challenges in AI-driven Malware Forensics
  • Privacy Concerns and Bias in AI Models
    Ethical Use of AI in Cybersecurity
  • Future Trends in AI and Malware Forensics
  • Emerging Technologies and Their Impact on Malware Analysis
    Preparing for Future Threat Landscapes with AI
  • Capstone Project
  • Practical Application of Course Concepts in a Simulated Malware Analysis Scenario
    Presentation and Defense of Findings

Taught by

Dharmanandana Reddy Pothula


Subjects

Information Security (InfoSec)