MLOps In Snowflake: From Development To Deployment
Sukanya Joshi, AI/ML Solutions Consultant at Snowflake, guides you through a fully end-to-end MLOps workflow built entirely within Snowflake. This walkthrough covers every stage of the machine learning lifecycle—from model development to deployment—showcasing core components such as the feature store, CI/CD setup, ML model registry, model serving and inference pipelines, and model observability & monitoring. If you're looking to streamline and scale your machine learning operations, this deep-dive shows how you can do it natively within Snowflake’s unified platform.
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