This week covered the entire training stage: "transforming data to models". From Training Job structure, through built-in algorithms that run inside them, automatic hyperparameter tuning via AMT, to not training from scratch but using pre-trained models via JumpStart·transfer learning and cost optimization. Today we weave these four pieces into one flow for quick review right before the exam.