Secure AI Engineering
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Build and secure AI for regulated missions
Secure AI Engineering is the discipline of building and defending AI systems — and for defense contractors it means doing so under CUI, CMMC and NIST 800-171 constraints. This cohort-based track takes engineers from confident AI use to securing and operating AI in production.
The track at a glance
| Stage | Focus | You leave able to |
|---|---|---|
| 1 · Foundational | Applied AI & Agentic Systems for Engineers | Drive AI tools (agentic assistants, LLMs, RAG) safely in real engineering work with structured prompting and guardrails. |
| 2 · Specialization | AI/LLM Security & Secure AI Infrastructure | Threat-model and secure LLM apps, RAG pipelines, agents and MCP — including in CUI and regulated environments. |
| 3 · Certification | Production AI (MLOps/LLMOps) & AI-Security credential | Deploy, monitor and govern AI in production, and sit an AI-security credential (e.g. ISACA AAISM). |
Stage 1 — Applied AI & Agentic Systems for Engineers
A hands-on foundation in using generative and agentic AI the way senior engineers do: structured prompting, agentic workflows, retrieval-augmented generation (RAG) basics, and the guardrails that keep AI use safe, auditable and repeatable in regulated settings.
Stage 2 — AI/LLM Security & Secure AI Infrastructure
Securing LLM applications, RAG pipelines, agents and the Model Context Protocol (MCP): AI threat modeling, the OWASP LLM Top 10, prompt-injection and data-exfiltration defenses, tool/data access control, guardrails, and evaluations — with attention to CUI boundaries.
Stage 3 — Production AI (MLOps/LLMOps) & AI-Security Credential
Operate AI at scale and safely: deployment, monitoring, evaluation in production, drift and cost, and AI governance. Culminates in prep toward ISACA AAISM, a natural next step for your CISM-credentialed staff.
Roles you'll be ready for
AI/LLM Security Engineer, Secure AI Infrastructure Engineer, and MLOps/LLMOps Engineer.
Why now
Teams are adopting AI faster than they can secure it, and engineers who can both build and defend AI systems are hard to find. Few programs teach this as a live, compliance-aware cohort for regulated teams.
Frequently asked questions
Who is this track for?
Software, cloud, platform and security engineers on defense-contractor and regulated teams who build and secure AI — and GRC staff moving into hands-on AI security.
How is it delivered?
Live-virtual, instructor-led cohorts with foundational prep you can start immediately. Cohorts run once minimum enrollment is met; next dates announced soon.
Do I take all three stages?
Take stages individually or as a discounted full-track bundle; most engineers start at Stage 1 and progress to the AI-security credential.
Start the track
Cohort-based and live-virtual. Begin foundational prep now and join the next cohort.
Next cohort: dates announced soon
Live virtual, instructor-led
Per stage (one live-virtual cohort each):
Stage 1 · $499
Stage 2 · $899
Stage 3 · $899
Full track, all 3 stages: $1,899 — save $398, no code needed
10% off Stage 1 with FALL10. Teams of 3 or more: team pricing on request; private cohorts are quoted per cohort.
Cohorts run once a minimum number of participants enroll. If yours doesn’t fill, we move you to the next date or refund you in full.
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