Investigational Python
Teaches analysts to write code that automates their PAI research needs.
- 5 days
- Intermediate
Linux, Python, and Automation · Open-Source and PAI Research
DEV-301
Turns users with limited coding experience into problem-solvers who rapidly build custom software for unique operational challenges with AI-enhanced development.
CENTAR addresses a critical challenge in government software development: the slow, costly, and often inefficient process of creating and maintaining software for government users cannot keep pace with modern demands.
This flexible five-to-ten-day program transforms users with limited coding experience into capable problem-solvers who can rapidly develop custom software solutions for unique operational challenges. Whether the solution is a single-page application, an automation script, a data processing pipeline, or a specialized tool, CENTAR develops hybrid problem-solvers who combine domain expertise with AI-enhanced development to build exactly what is needed, when it is needed.
Open to all. Open enrollment and contracted, dedicated courses are both available.
No open-enrollment dates are posted for this course. It is available as a dedicated iteration; contact us to schedule one.
Step 3 of 3 in Linux and Automation for Investigators and 1 other path.
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.
Teaches analysts to write code that automates their PAI research needs.
Linux, Python, and Automation · Open-Source and PAI Research
Prepare to conduct PAI research on a Debian-based Linux distribution, from command-line basics to installing and customizing investigation tools.
Linux, Python, and Automation
Foundational knowledge and practical skills to leverage AI tools for PAI research in a secure, efficient, and attribution-conscious environment.
Artificial Intelligence for Analysts · Open-Source and PAI Research