# AI Security & Governance for Government Coure (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/ai-security-and-governance-for-government-self-paced>

## Overview

Federal agencies are deploying AI faster than the governance and security practices meant to control it. This intermediate course equips federal staff and the organizations that support them to build an agency AI governance and security program grounded in federal AI policy and the NIST AI Risk Management Framework. Learners work through AI system inventories and risk classification, data governance and privacy, securing the AI development and acquisition lifecycle, the threats facing machine learning and generative AI, and the testing, oversight, monitoring, and accountability structures that keep AI trustworthy. A capstone assembles these into a working government AI governance and security plan.

## What you'll learn

- Navigate federal AI policy, roles, and governance structures
- Apply the NIST AI Risk Management Framework (Govern, Map, Measure, Manage)
- Build AI system inventories and classify AI use cases by risk
- Apply data governance, privacy, and information-protection practices to AI
- Secure the AI development and acquisition lifecycle
- Recognize threats to machine learning and generative AI systems
- Establish testing, evaluation, validation, and human oversight
- Manage third-party AI, supply-chain risk, and federal procurement
- Run continuous monitoring, incident response, and accountability for AI

## Pricing

**Tuition:** $1149