HIPAA/CMMC-safe AI automation with OpenCode + ollama on your hardware. No data leaves your network. Nobody else teaches this.
Craig Petronella
CMMC-RP, CCNA, CWNE, DFE #604180
Founder of Petronella Technology Group (founded 2002, BBB A+ since 2003). Team is fully CMMC-RP certified. CMMC-AB Registered Provider Organization #1449.
You will learn why cloud AI violates HIPAA and CMMC, how to install ollama and vLLM locally, and how to set up OpenCode as a private AI agent. You will also generate NIST narratives and HIPAA policies locally, automate SSP sections and evidence collection, and build n8n pipelines with private AI.
This advanced AI and Automation course is for healthcare organizations handling PHI and defense contractors processing CUI who need AI automation that keeps all data within their own network boundary. It suits technical practitioners running AI on their own NVIDIA, AMD, or Apple Silicon hardware.
It is an advanced-level course running about 480 minutes, roughly eight hours, across four modules: Why Private AI Matters, Local AI Infrastructure, Compliance Document Generation, and Production Pipeline. The course is self-paced and online with progress tracking.
It is a paid course priced at $149. Paid courses include a 30-day money-back guarantee.
It teaches you to run AI coding agents entirely on your own hardware using ollama and vLLM with OpenCode, so no data leaves your network, unlike cloud tools that send data to external servers. This approach is aimed at HIPAA and CMMC environments where sending PHI or CUI offsite creates a compliance violation.
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