Description
Learn OSINT (Open-source Intelligence) From Scratch is a comprehensive beginner-friendly course published by Udemy that teaches individuals how to gather, analyze, and interpret publicly available information for investigations and cybersecurity purposes. The course follows a clear step-by-step approach, ensuring that even complete beginners can quickly understand OSINT concepts and begin conducting effective intelligence operations.
You will explore powerful OSINT tools and methods, including image analysis, geo-location techniques, phone and email investigations, search engine intelligence, and social media profiling. The curriculum covers both foundational and advanced techniques, helping you extract valuable data about people, companies, accounts, locations, and digital footprints. By the end of the course, learners will be able to run complete OSINT investigations and apply these skills to real-world scenarios in security, research, and digital forensics.
What You’ll Learn
- Extract information from images
- Discover data linked to emails and phone numbers
- Identify sensitive information about individuals
- Use basic Linux commands
- Utilize mapping tools and geo-location techniques
- Perform Google dorks
- Trace phone numbers
- Use facial recognition to track people online
- Analyze satellite images to track people, locations, and objects
- Geolocate images using OSM, AI tools, and more
- And more…
Target Audience
- Beginners interested in OSINT and digital investigations
- Cybersecurity students looking to expand into intelligence gathering
- Law enforcement and investigative professionals
- Researchers, analysts, journalists, or anyone who needs structured information-gathering skills
Course Specifications
Publisher: Udemy
Teacher: Zaid Sabih, z Security, Saad Sarraj
Language: English
Level: Beginner
Lectures: 143
Duration: 11 hours and 7 minutes
Prerequisites
- Basic IT skills
- No prior Linux, programming, or hacking experience
- A computer with at least 4GB RAM
- Operating System: Windows / macOS / Linux
Rapidgator
File Size: 7.4 GB