Teaching

AI systems engineering, taught as evidence work.

This page collects public-safe learning surfaces from the AI Systems Engineering Handbook and related talks. The goal is to help students and builders move from model demos to architecture, governance, security, validation, and delivery evidence.

Accelerators

GitHub

June 2026 Students, builders, course designers, and enterprise AI teams

7-day Enterprise Voice AI Systems Onboarding

A Traditional Chinese 7-day consulting-style onboarding tutorial for enterprise voice AI / AI Coach / agent governance delivery, built around architecture, governance, security, deployment, validation, and customer-acceptance evidence.

Enterprise AI onboarding is strongest when a learner can explain the end-to-end system, produce reviewable artifacts, and name the next validation layer for deployment, safety, latency, cost, and customer acceptance.

Day 1 Domain map and interview-signal issue tree Canonical in the 7-day tutorialDay 2 Voice AI pipeline Canonical in the 7-day tutorialDay 3 RAG, agent, tool use, and AI Gateway Canonical in the 7-day tutorialDay 4 PII, guardrails, and red teaming Canonical in the 7-day tutorialDay 5 Docker, K8s, GPU sizing, and vLLM Canonical in the 7-day tutorialDay 6 Integrated demo and architecture memo Canonical in the 7-day tutorialDay 7 Onboarding pack and first 30 days Canonical in the 7-day tutorial

Teaching surfaces

June 2026 Students, builders, and enterprise AI teams

7-day Enterprise Voice AI Systems onboarding tutorial

A 7-day public-safe sprint that turns enterprise voice AI / AI Coach / agent governance onboarding into concrete review artifacts: domain map, voice pipeline, gateway architecture, red-team harness, PII event schema, K8s checklist, GPU sizing table, demo memo, and first-30-days plan.

Canonical 7-day version lives in the ai-systems-engineering-handbook accelerator repo.

June 2026 Course designers and technical mentors

Expanded 28/30-day enterprise AI bootcamp path

The handbook keeps the 7-day onboarding tutorial as the first map, then expands the same enterprise voice AI, gateway, governance, security, deployment, and acceptance themes into a 28-day spiral bootcamp plus 2-day review and portfolio packaging layer.

Expanded bootcamp path remains canonical in the handbook repo.

May-June 2026 Medical-device and regulated-AI teams

Medical AI cybersecurity teaching package

Slide, audio, transcript, and test-question support around AI software medical-device cybersecurity, FDA 524B, threat modeling, SBOM, Zero Trust, and Patch SLA.

CYBERSEC talk delivered; CDE teaching handoff prepared.