According to DeepLearning.AI, building a machine learning model is only the initial step. Ensuring its reliability in production demands ongoing monitoring, adaptive data pipelines, and strategic deployment. The Machine Learning in Production course offers insights into the complete ML lifecycle, emphasizing the necessity of continuous oversight and adaptation for sustained model performance.