Model Deployment

Serve ML models as REST APIs — containerised with Docker, deployed to the cloud.

intermediate 🏭 MLOps & LLMOps

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After this skill you can…

Wrap a model in a FastAPI endpoint
Containerise and deploy to a cloud service
Implement batch and online inference pipelines

Prerequisites

Experiment Tracking

Learn this skill (9 videos)

Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI

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How To Deploy ML Models With Google Cloud Run

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PyTorch Community Voices | Distributed PyTorch with Ray | Michael & Richard

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How to serve any machine learning or deep learning model using FastAPI

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TensorFlow in 100 Seconds

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How to build, train, and deploy machine learning models using Amazon SageMaker

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Giuseppe Angelo Porcelli Boost productivity with generative AI and scalable development using Jupy

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Machine Learning in 15: Amazon SageMaker High-Performance Inference at Low Cost

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Google's Machine Learning Virtual Community Day livestream

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