This repository provides a structured learning path for understanding MLOps fundamentals. It uses PyTorch Lightning for model development, Huggingface Transformers and Datasets for ML workflows, and Weights & Biases for experiment tracking. The series progresses through weekly topics: project setup with data processing and model training, experiment monitoring, and extending into configurations, testing, packaging, and deployment pipelines.