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Revolutionary tiered system that makes learning progression crystal clear: ## 0x Series: Foundation & Building Blocks 🏗️ - 00_setup: Development environment - 01_tensor: Core data structures - 02_activations: Mathematical functions - 03_layers: Neural network primitives - 04_networks: Architecture composition ## 1x Series: ML Systems & Training 🎓 - 10_dataloader: Data pipeline systems - 11_cnn: Advanced architectures - 12_autograd: Automatic differentiation - 13_optimizers: Learning algorithms - 14_training: Training orchestration ## 2x Series: Production & Optimization 🚀 - 20_compression: Model optimization - 21_kernels: Hardware optimization - 22_benchmarking: Performance measurement - 23_mlops: Production deployment - 24_transformer: Advanced architectures Benefits: - Clear conceptual levels (primitives → systems → production) - Natural dependencies (1x needs 0x, 2x needs 1x) - Scalable system (room for 3x, 4x, etc.) - Educational clarity (students immediately understand their level) - Perfect for ML Systems course progression