Week 3: Model Training and Registry

Overview

Train models with aprender and manage them with pacha's signed registry.

Topics

#TypeTitlePlatformDuration
3.1VideoML Algorithms: From Scratch to AutoMLConcept10 min
3.2LabTrain Models with aprenderSovereign40 min
3.3VideoDatabricks AutoMLDatabricks10 min
3.4LabAutoML Experiment in DatabricksDatabricks30 min
3.5VideoModel Registry with Unity CatalogDatabricks10 min
3.6VideoModel Signing and SecuritySovereign8 min
3.7LabRegister and Sign Models with pachaSovereign35 min
3.8VideoModel Lineage and GovernanceDatabricks8 min
3.9QuizTraining and Registry—15 min

Sovereign AI Stack Components

  • aprender for ML algorithms
  • pacha for Ed25519 signing and BLAKE3 hashing

Key Concepts

Model Training

  • Linear regression with gradient descent
  • Random forest ensemble methods
  • Cross-validation for model selection

Model Registry

  • Version control for models
  • Stage transitions (staging → production)
  • Cryptographic signing for integrity