ai-engineering

AI Engineering principles and decision-making for ML, DL, RL, and DRL. Framework selection, model architecture, training patterns, evaluation strategies, and deployment. Suitable from beginner to expert level. Use when working with machine learning, deep learning, reinforcement learning, model training, AI deployment, or MLOps tasks.