This chapter focuses on the critical stages of model development and experimentation. Students will explore best practices for model training, hyperparameter tuning, and model evaluation, with a strong emphasis on incorporating MLOps principles to ensure reproducibility, scalability, and efficient collaboration within cross-functional teams.