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Concept I: Introduction to Bittensor

This course provides a foundational look at Bittensor, covering its modular subnet architecture and the Yuma Consensus reward mechanism. You will learn the practical basics of node tooling and TAO tokenomics, offering a clear starting point for anyone interested in participating in the decentralized AI ecosystem.

Language

Python

Total Length

1.5h

Part of Learning Track

Build on Bittensor + 1

What You’ll Learn

Architecture: How Bittensor functions as a modular "Neural Internet."

Incentives: How the network uses Yuma Consensus to distribute rewards fairly.

Tooling: Mastery ofbtcli, wallet security, and on-chain monitoring.

Economics: Understanding TAO supply, emissions, and Subnet (Alpha) tokens.

Syllabus

Unit 1 – The Rise of AI and the Emergence of Bittensor

Covers the transition from centralized AI bottlenecks to Bittensor’s decentralized solution for global innovation.

Unit 2 – Core Concepts and Mechanisms of Bittensor

Explains the mechanics of Subnets, the roles of Miners/Validators, and how Yuma Consensus rewards quality work.