AI Model Deployment & Serving
Deploying AI models using Azure Container Instances, Azure Functions, and Kubernetes for scalable, production-ready inference endpoints.
Notes in progress. This entry is an outline: the summary above is accurate, but the full write-up is not published yet.
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Building ML pipelines with Azure Machine Learning, training models at scale, and deploying models to production with MLOps practices.