Malware and Memory Forensics Deep Dive Training

Overview

This workshop aims to provide learners with a thorough understanding of memory forensics and teach them the fundamentals of memory forensics. The Malware and Memory Forensics Deep Dive workshop will investigate how malware works and how it can be classified. Learn about the intricacies of memory, its structure, and its functions. This is a comprehensive, hands-on workshop that teaches students how to analyze memory and detect malware.
The course is detailed and will include various key modules, such as learning about different types of analysis, in-memory data, memory architectural issues, and tools used.
The Malware and Memory Forensics Deep Dive course are ideal for anyone interested in or already working in forensics or the cyber-security industry. Obtaining certification will increase your chances of advancement in your career. Having this certificate on your resume will show employers that you have broadened your skills and expertise in the field.

Prerequisites

  • The age of the learner must be 18 or above.
  • The learner must have a basic understanding of Maths, English, and ICT.
  • This course is open to all students from all academic backgrounds.
  • It will be advantageous to have a good educational background to study this course.

The Benefits of Malware and Memory Forensics Deep Dive Training

  • Boost your career
  • Become a marketable candidate among potential employers.
  • Recognized Accredited Qualification.
  • Learn about memory and related components

Jobs You Can Get with Your Malware and Memory Forensics Deep Dive Qualification

  • Forensic Investigator
  • Cyber-Security Professionals
  • Target Audience
  • Forensic Investigators
  • Cyber-Security Professionals
  • Cyber-Crime Investigators
  • Anyone interested in enhancing the malware knowledge

Starting Course

1
Nvidia New Technologies Slides
2
Quiz: Mobile / Native Apps

After Intro

1
Realistic Graphic on UE4
2
Volta GPU for optimization.
3
Deep Learning

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Enrolled: 0 students
Lectures: 5
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