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Classroom Contents
How to Deploy ML Models in Production with BentoML
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- 1 Intro
- 2 BentoML deployment steps
- 3 Installing BentoML and other requirements
- 4 Training a simple ConvNet model on MNIST
- 5 Saving Keras model to BentoML local store
- 6 Creating BentoML service
- 7 Sending requests to BentoML service
- 8 Creating a bento
- 9 Serving a model through a bento
- 10 Dockerise a bento
- 11 Run BentoML service via Docker
- 12 Deployment options: Kubernetes + Cloud
- 13 Outro
