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Reverse Engineering Masterclass: CAD, Software & Hardware
Role Play
Hot & New
Rating: 5.0 out of 5(1 rating)
11 students

Reverse Engineering Masterclass: CAD, Software & Hardware

Learn Ghidra,x64dbg, Wireshark,Frida, Malware & Firmware Analysis,CAD, 3D Scanning,Cybersecurity, IoT & Embedded Systems
Last updated 6/2026
English

What you'll learn

  • Understand reverse engineering principles, workflows, applications, and industry use cases across software, hardware, and products
  • Perform product analysis, 3D scanning, CAD reconstruction, surface modeling, and engineering design recovery.
  • Analyze software using binary analysis, disassembly, decompilation, debugging, and reverse engineering techniques.
  • Investigate malware, vulnerabilities, digital forensics, and cybersecurity threats using reverse engineering tools.
  • AnalAnalyze PCBs, firmware, embedded systems, IoT devices, communication protocols, and hardware architectures.
  • Use tools such as Ghidra, Wireshark, x64dbg, Frida, SolidWorks, Fusion 360, CATIA, and Siemens NX.
  • Apply reverse engineering to automotive ECUs, aerospace systems, routers, smartphones, and industrial equipment.

Course content

8 sections54 lectures5h 10m total length
  • Introduction to Reverse Engineering11:01
  • Objectives of Reverse Engineering9:43
  • Reverse Engineering Workflow3:46
  • Scope of Reverse Engineering4:09
  • Fundamentals of Product Disassembly and Analysis5:50
  • Overview of Reverse Engineering Tools & Supporting Utilities4:49
  • Practical Challenge: Competitor Product Investigation

Requirements

  • No experience required . You will learn everything you need to know.

Description

Welcome to the Reverse Engineering Masterclass: CAD, Software & Hardware, a comprehensive course designed to introduce the principles, methodologies, tools, and applications of reverse engineering across software, hardware, manufacturing, cybersecurity, embedded systems, IoT, Artificial Intelligence (AI), automotive, aerospace, biomedical, telecommunications, and industrial domains. It plays a vital role in product development, design recovery, cybersecurity investigations, manufacturing optimization, legacy system modernization, quality improvement, and technology analysis.

This course follows a structured learning path beginning with reverse engineering fundamentals, product analysis, and industry workflows before progressing to data acquisition, 3D scanning technologies, point cloud generation, CAD reconstruction, surface modeling, and engineering design recovery. You will also explore additive manufacturing, rapid prototyping, 3D printing workflows, product redesign, digital twins, and smart manufacturing applications.

The course further introduces software reverse engineering concepts including binary analysis, static and dynamic analysis, disassembly, decompilation, malware analysis, vulnerability assessment, digital forensics, and cybersecurity investigations. You will also learn the fundamentals of hardware reverse engineering, PCB analysis, firmware extraction, communication protocols, embedded systems, IoT technologies, and telecommunications systems.

Throughout the course, you will explore industry-standard tools including Ghidra, x64dbg, Wireshark, Frida, APKTool, JADX, SolidWorks, Fusion 360, CATIA, Siemens NX, and Geomagic Design X, and understand how these tools are used within reverse engineering workflows.

Real-world examples and case studies cover applications in automotive systems, aerospace components, biomedical devices, manufacturing systems, smartphone analysis, router firmware investigation, ECU analysis, AI systems, product benchmarking, and industrial engineering.

By the end of this course, you will have a strong understanding of reverse engineering concepts, workflows, tools, and applications, enabling you to analyze, interpret, reconstruct, and document products, software, hardware, and engineering systems across a wide range of technical and industrial domains.

Who this course is for:

  • This course is designed for engineering students, CAD designers, software developers, cybersecurity professionals, embedded systems engineers, IoT developers, and technology enthusiasts interested in reverse engineering.
  • It is also valuable for professionals in automotive, aerospace, electronics, manufacturing, and industrial sectors.
  • The course helps learners analyze, reconstruct, and understand existing products, software, hardware, and engineering systems.