Model Deployment and Serving
4 - Model Deployment and Serving
Transitioning ML models from the development environment to production is a crucial step in the ML Ops lifecycle. In this chapter, students will learn strategies for efficient and reliable model deployment, including containerization, infrastructure management, and scaling considerations.
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