Mesh-Native Classroom AI

What you'll build

Vertical stack context: DOSFIUniversity (research) → DOSFI Academy (this course) → MeshNativeExchange (publishing & monetizing). Students progress from Learning → Building → Publishing → Monetizing. This module provides an in-depth exploration of Mesh-Native Classroom AI in the context of the DOSFI ecosystem, focusing on multi-node inference pipelines, Routing Policies, Workflow Schemas, and the Transport Layer interaction with MNE settlement. Designed for advanced learners, it emphasizes architectural rigor and subsystem interaction to facilitate robust AI deployment within mesh-native environments.

Skills you'll practice

• Understand the architecture of Mesh-Native Classroom AI within DOSFI
• Design and implement multi-node inference workflows
• Configure Routing Policies for optimal AI data flow
• Integrate Transport Layer and MNE settlement mechanisms for consistent state management

Before you start

• Fundamental knowledge of DOSFI architecture
• Basic understanding of Mesh-Native subsystems
• Experience with AI inference workflows within distributed systems

Lab steps4 steps

1. 1
   Introduction to Mesh-Native Classroom AI Architecture
2. 2
   Routing Policies in Mesh-Native AI
3. 3
   Workflow and State Machine Configuration
4. 4
   Transport Layer and MNE Settlement Integration