📄️ 📊 Unit 1 — Introduction to SN13 Data Universe
Kenalan dengan Data Universe (SN13) — subnet penyedia data terdesentralisasi untuk training AI. Arsitektur miner, validator, dan kenapa "data is the new oil" di ekosistem Bittensor.
📄️ ⚙️ Unit 2 — Environment Setup & Deployment
Setup environment lengkap untuk miner SN13 — provision VPS Singapore, install Python 3.10+, clone data-universe repo, install dependencies, setup PM2, dan register miner di NetUID 13.
📄️ ⛏️ Unit 3 — Miner Configuration & Data Scraping Strategy
Setup scraper Reddit/Twitter/YouTube di Data Universe miner — config.json, API keys, deduplication logic, rate limiting, dan strategi pemilihan subreddit/keyword yang menghasilkan skor tinggi.
📄️ 🎯 Unit 4 — Scoring System & Optimizing Rewards
Bongkar mekanisme scoring SN13 — freshness, uniqueness, volume, coverage, validity. Mechanism validator audit, common pitfall, dan playbook optimasi reward TAO sebagai miner.
📄️ 💾 Unit 5 — S3 Storage Configuration & Data Upload
Setup S3-compatible storage (Cloudflare R2 / AWS S3 / Backblaze B2), konfigurasi bucket & credentials, upload flow dari local buffer ke cloud, dan verifikasi on-chain metadata.
📄️ 🌐 Unit 6 — Interaction Layer
Bangun interaction layer miner SN13 — FastAPI server async, handle validator queries, timeout & graceful degradation, monitoring (Prometheus/Grafana), auto-restart via PM2, dan checklist graduation submission.