Private AI for Compliance Automation
Level: Advanced | Duration: 8h 0m
HIPAA/CMMC-Safe AI That Never Leaves Your Network
Cloud AI tools like Claude Code, Cursor, and Copilot send your data to external servers for processing. For most work, this is fine. But for healthcare organizations handling PHI or defense contractors processing CUI, it creates a compliance violation that can result in fines up to $1.5 million per category.
This course teaches you to run powerful AI coding agents entirely on your own hardware, keeping all data within your network boundary.
What You'll Build
- Local AI infrastructure using ollama and vLLM on NVIDIA, AMD, or Apple Silicon hardware
- OpenCode as your private AI coding agent, connected to locally-running models
- NIST control narratives generated by local LLMs with your real organizational details, safely
- HIPAA policy documents covering privacy, security, breach notification, and training requirements
- SSP sections and POA&M entries automated through local AI with system-specific details
- n8n pipelines for ongoing automated compliance monitoring, evidence collection, and reporting, all on-premises
Why Nobody Else Teaches This
PTG runs private AI infrastructure daily on a 19-machine fleet spanning NVIDIA RTX 5090, AMD Radeon RX 8060S (ROCm), and Apple Silicon. We use ollama, vLLM, and OpenCode for compliance document generation, policy writing, and evidence collection. No other training provider has this infrastructure, which means no other provider can demonstrate these techniques with real production examples.
After this course, you'll have the same capability: AI-powered compliance automation with zero data leaving your servers.
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