Preparing your workspace
Foundation: Why H2E Exists
2 modules · 3 lessons
The Four Subsystems
4 modules · 4 lessons
H2E in Practice
2 modules · 2 lessons
Module 1: The Problem with Static AI
Module 2: What H2E Actually Is
Module 1: SROI: Semantic Return on Investment
Module 2: NEZ: Normalized Expert Zone
Module 3: IGZ: Intent Governance Zone
Module 4: V-RIM: Virtual Resource Integrity Model
Module 1: Drivia as Reference Implementation
Module 2: Building Your Own H2E Integration
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A crash course on the Human-to-Expert (H2E) Engineering Framework — the adaptive intelligence layer that governs how AI systems learn, adapt, and respond to individual humans. Covers SROI, NEZ, IGZ, and V-RIM. Co-authored by Wilson Guenther and Frank Morales (Boeing Fellow). NeurIPS 2026 submission.
The course has 9 lessons estimated at approximately 3 hours of learning. You can learn at your own pace.
Yes. When you complete all lessons and pass all quizzes (70%+ score), you earn a verifiable certificate of completion that you can share on LinkedIn.
9 lessons with verified citations, mastery-gated quizzes, AI tutoring with JAX, 30+ interactive learning widgets, and a certificate on completion.
Yes! Try our free demo lesson at drivia.consulting/demo to experience the learning platform before committing.
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