Build hand-drawn OSINT investigation files by verifying digital artifacts, mapping online evidence, and turning scattered digital intelligence into clear visual case documentation.
Course Module
Start Here
What is AI?
Types of AI (Narrow, General, Super intelligent)
Real-world AI use cases
Machine learning vs. traditional programming
Lesson 1 — Professional OSINT Applied to Crime Investigation
What is data? (structured vs unstructured)
Types of data (numerical, categorical, text, images)
Data collection methods
Data cleaning & preprocessing basics
Training data vs testing data
Lesson 2 — Artifact Build Building Hand-Drawn Visual Intelligence for the Crime
What is supervised learning?
Regression vs classification
Common algorithms (Linear Regression, Logistic Regression, KNN, Decision Trees)
Student experiences and feedback will appear here as the Drawn Evidence™ community grows.
Course Participant
Drawn Evidence™ Community
Student experiences and feedback will appear here as the Drawn Evidence™ community grows.
Course Participant
Drawn Evidence™ Community
Student experiences and feedback will appear here as the Drawn Evidence™ community grows.
Course Participant
Drawn Evidence™ Community
This course completely changed how I understand AI. The instructor broke down even the most complex topics—like neural networks and gradient descent—into simple, digestible lessons. The hands-on exercises helped me finally connect theory with practical implementation.