LNX-250
Teaches analysts to write code that automates their PAI research needs.
Our five-day Investigational Python course teaches students how to create code to automate their PAI research needs: collection, enrichment, de-duplication, and reporting tasks that otherwise consume analyst time.
Students leave with working scripts built around their own investigative workflows and the ability to read, adapt, and troubleshoot tools published on PyPI, GitHub, and GitLab.
Open to all. CASO I is a prerequisite.
No courses list this one as a prerequisite.
No open-enrollment dates are posted for this course. It is available as a dedicated iteration; contact us to schedule one.
Step 2 of 3 in Linux and Automation for Investigators.
OSINT Essentials with Linux (L-C). Open to all; Linux foundations on Kali and Ubuntu.
Open to all. Automate PAI workflows; CASO I is a prerequisite.
Open to all. Build custom operational software with AI-enhanced development.
A five-day, tool-agnostic introduction to safely navigating the digital environment and turning publicly available data into timely, actionable insight.
Open-Source and PAI Research
Ten days of focused open-source research training that teaches teams to safely leverage publicly available information through advanced, secure techniques.
Open-Source and PAI Research
Trains CASO graduates to efficiently target big data, extract critical information, and create clear reports across multiple fields.
Open-Source and PAI Research