FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Practical OSINT: The Complete Course for Beginners
Practical OSINT: The Complete Course for Beginners
IT & Software100% OFF

Practical OSINT: The Complete Course for Beginners

Hassan Shafiq
4.3(5.4K students)
Self-paced
Beginner

About this course

This course contains the use of artificial intelligence. Ever wondered how investigators find information that seems impossible to locate? How do they track digital footprints, uncover hidden connections, and piece together a complete puzzle from scattered clues online?

Welcome to Practical OSINT. This is not just a theoretical course; it is your hands-on guide to mastering the art and science of Open Source Intelligence. In over 9 hours of content, you will move from a complete beginner to a skilled investigator.

We start from the very beginning by helping you build a secure, professional investigation lab from scratch using tools like VMWare and Kali Linux. From there, we dive into the most critical OSINT techniques used by cybersecurity professionals and ethical hackers today. You will learn to think like an investigator, mastering everything from advanced Google Dorking and social media analysis to exploring massive leaked databases and tracking phone numbers.

You will not only learn how to find information but also how to protect your own identity using sock puppets , private VPNs , and advanced data hiding techniques like steganography. If you are ready to stop just using the internet and start understanding it, this course is your first step. Enrol today and start your journey into the fascinating world of Open Source Intelligence.

A Look Inside The Course CurriculumHere is a breakdown of the exciting skills you will master in each section:Section 1: IntroductionGet a complete overview of the course structure and meet your instructor, WHO AM I. Section 2: Lab SetupBuild your digital detective's toolkit from the ground up. We'll guide you through installing VMWare , setting up Kali Linux , and even show you how to build an ultimate OSINT lab in the cloud.

Section 3: Search EnginesGo beyond basic searching and master Google Dorking. You'll learn basic people searching techniques , how to discover hidden files and metadata , and even use AI for advanced dorking. Section 4: Emails, Usernames, PasswordsDive into the world of digital identity.

Learn to find emails , trace usernames , and understand the impact of breached credentials and password leaks. Section 5: Finding and Downloading Leaked DatabasesGain elite skills by learning how to find and download leaked databases. We'll set up a Windows VM and use special tools to explore real-world data breaches from Facebook , Twitter , and LinkedIn.

Section 6: Phone Numbers OSINTTurn a single phone number into a trove of information. You'll learn to hunt for numbers , validate them , find the owner's identity , and link them to social media accounts. Section 7: People OSINTBecome an expert in finding information about people.

We'll cover people search engines , tracing name origins , finding linked social media accounts , political affiliations , and even searching CVs. Section 8: Social Media OSINTLearn specific techniques for investigating popular platforms, including Instagram , Facebook , TikTok , Twitter , and LinkedIn. You'll even learn a method to find the IP address of a WhatsApp number.

Section 9: Image OSINTUnlock the secrets hidden in images. You'll master metadata analysis, reverse image searching , face searching , and using AI for image geolocation. Section 10: Email ForensicsLearn to analyze emails like a forensic investigator by tracking them and analyzing phishing attempts in a hands-on challenge.

Section 11: Files OSINTDiscover how to use file diggers to find documents and other files that aren't easily accessible. Section 12: IoT OSINTExplore the Internet of Things. You'll learn to use Shodan and Censys to find exposed devices, including vulnerable cameras.

Section 13: Website OSINTConduct a complete reconnaissance on any website. You'll learn everything from finding the technology stack and subdomains to analyzing security headers , DNS records , and finding historical data. Section 14: Staying AnonymousTake your privacy to the next level.

Learn to use disposable browsers and set up your own free, private, and even unblockable VPN server in the cloud. Section 15: Hiding Activities, Data & FilesLearn the art of digital concealment.

Skills you'll gain

Network & Securityen

Available Coupons

Loading...

Course Information

Level: Beginner

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Hassan Shafiq

Expert course creator

This course includes:

  • 📹Video lectures
  • đź“„Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$84.99

Save $84.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/practical-osint

You May Also Like

Explore more courses similar to this one

Cyber Security Awareness in 3 Minutes a Day: Online Safety
IT & Software
0% OFF

Cyber Security Awareness in 3 Minutes a Day: Online Safety

Mauro Alberto

This course contains the use of artificial intelligence. AI tools were thoughtfully integrated into the development of this course to make the learning experience clearer, more accessible, and more practical. The instructor remained an essential part of the entire process, guiding, reviewing, and supervising the content to ensure its quality and educational value.Do you want to protect your online life but don’t know where to start?Good news: you don’t need hours of technical training. With just 3 minutes a day, you can build strong cybersecurity habits that keep your personal data, devices, and money safe.In this course, you’ll learn the essential skills of online security and privacy, explained in simple, everyday language. Each lesson is short, practical, and designed to give you immediate protection against today’s most common threats.What you’ll learnCreate and manage strong, unbreakable passwordsUse two-factor authentication (2FA/MFA) to secure your accountsRecognise and avoid phishing and fake appsKeep your smartphone, Wi-Fi, and home network safeProtect your online banking and financial dataSpot signs of malware and scams before they harm youBoost your privacy online with smart settings and VPN useWho this course is forAnyone who uses the internet for work, study, shopping, or bankingBeginners who want clear, step-by-step guidance without technical jargonParents, professionals, and students looking for quick, practical security habitsAnyone who wants to feel safer and more confident onlineWhy this course?Fast & practical: just 3 minutes a day to build lifelong security habitsBeginner-friendly: no technical background neededComprehensive: covers passwords, devices, Wi-Fi, banking, privacy, and moreActionable: each lesson gives you a clear step you can apply immediatelyBy the end of this course, you’ll have the confidence and skills to protect your digital life — without stress, confusion, or wasted time.Start today. In just 3 minutes a day, you can take control of your online security.

0.0•7•Self-paced
FREE$81.99
Enroll
Ethical Hacking Mastery : From Zero To Hacker
IT & Software
0% OFF

Ethical Hacking Mastery : From Zero To Hacker

ARUNNACHALAM SHANMUGARAAJAN

Welcome to the ultimate Ethical Hacking mastery course designed to take you from zero experience to becoming a skilled ethical hacker. This comprehensive course covers all essential aspects of Ethical Hacking, including penetration testing, vulnerability assessment, and real-world hacking techniques.You will learn how to think like a hacker and use the latest tools and methods for ethical penetration testing. Whether you are a beginner or want to sharpen your skills, this course offers practical, hands-on training in Ethical Hacking.What Are the 5 Phases of Ethical Hacking?Ethical hacking is a structured process that follows five key stages to simulate real-world cyberattacks and assess security defenses. These phases include:Phase 1: Reconnaissance (Footprinting & Information Gathering)In this initial phase, ethical hackers gather critical information about the target system, including IP addresses, domain details, and network topology. Tools like Google Dorking , WHOIS lookup help in passive and active information gathering.Phase 2: Scanning & EnumerationThis phase involves identifying open ports, live hosts, and system vulnerabilities using tools like Nmap and OpenVAS. Ethical hackers map out the target’s weaknesses to prepare for potential exploits.Phase 3: Gaining Access (Exploitation Techniques)Hackers use various attack methods such as SQL injection, brute force attacks, phishing, and password cracking to exploit vulnerabilities and gain unauthorized access. Tools like Metasploit and John the Ripper play a key role in this stage.Phase 4: Maintaining AccessOnce access is gained, the hacker ensures persistent access by installing backdoors, Trojans, and rootkits. This step helps attackers maintain long-term control over the compromised system. Ethical hackers use penetration testing tools like Meterpreter to simulate such attacks.Phase 5: Covering Tracks & ReportingTo avoid detection, attackers erase evidence by clearing logs, modifying timestamps, and using anti-forensic techniques. Ethical hackers, however, document their findings in detailed reports to help organizations improve security measures.Boost Your Cybersecurity Career – Enroll Now & Start Learning Today!

4.0•7.8K•Self-paced
FREE$103.99
Enroll
Data Science , Machine Learning : Ultimate Course Bootcamp
IT & Software
0% OFF

Data Science , Machine Learning : Ultimate Course Bootcamp

ARUNNACHALAM SHANMUGARAAJAN

Data Science , Machine Learning : Ultimate Course For AllCourse Description:Welcome to the ultimate Data Science , Machine Learning course for 2025 – your complete guide to mastering Data Science , Machine Learning from the ground up with real-world examples and hands-on projects.This course is designed for beginners and intermediate learners who want to dive deep into the fields of Data Science , Machine Learning. Whether you’re starting from zero or brushing up your skills, this course will walk you through all the essential concepts, tools, and techniques used in Data Science , Machine Learning today.You’ll begin by understanding the core principles of Data Science , Machine Learning, then move into Python programming, data preprocessing, model training, evaluation, and deployment. With step-by-step explanations and practical exercises, you’ll gain real-world experience in solving problems using Data Science , Machine Learning.By the end of the course, you’ll be fully equipped to handle real projects and pursue career opportunities in Data Science , Machine Learning confidently.Class Overview:Introduction to Data Science , Machine Learning:Understand the principles and concepts of data science and machine learning.Explore real-world applications and use cases of data science across various industries.Python Fundamentals for Data Science:Learn the basics of Python programming language and its libraries for data science, including NumPy, Pandas, and Matplotlib.Master data manipulation, analysis, and visualization techniques using Python.Data Preprocessing and Cleaning:Understand the importance of data preprocessing and cleaning in the data science workflow.Learn techniques for handling missing data, outliers, and inconsistencies in datasets.Exploratory Data Analysis (EDA):Perform exploratory data analysis to gain insights into the underlying patterns and relationships in the data.Visualize data distributions, correlations, and trends using statistical methods and visualization tools.Feature Engineering and Selection:Engineer new features and transform existing ones to improve model performance.Select relevant features using techniques such as feature importance ranking and dimensionality reduction.Model Building and Evaluation:Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and gradient boosting.Evaluate model performance using appropriate metrics and techniques, including cross-validation and hyperparameter tuning.Advanced Machine Learning Techniques:Dive into advanced machine learning techniques such as support vector machines (SVM), neural networks, and ensemble methods.Model Deployment and Productionization:Deploy trained machine learning models into production environments using containerization and cloud services.Monitor model performance, scalability, and reliability in production and make necessary adjustments.Enroll now and unlock the full potential of data science and machine learning with the Complete Data Science and Machine Learning Course!

4.3•13.6K•Self-paced
FREE$95.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.