Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

How to Deploy ML Models in Production with BentoML

Valerio Velardo - The Sound of AI via YouTube

Start learning Write review
DataCamp Ad

Power BI Fundamentals - Create visualizations and dashboards from scratch

Learn More → CodeSignal Ad

2,000+ Free Courses with Certificates: Coding, AI, SQL, and More

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This course demonstrates how to deploy a trained machine learning model with BentoML. It covers creating a service, packaging a model into a bento, serving inference requests, containerizing it with Docker, and briefly reviewing Kubernetes and cloud deployment options.

Syllabus

Intro
BentoML deployment steps
Installing BentoML and other requirements
Training a simple ConvNet model on MNIST
Saving Keras model to BentoML local store
Creating BentoML service
Sending requests to BentoML service
Creating a bento
Serving a model through a bento
Dockerise a bento
Run BentoML service via Docker
Deployment options: Kubernetes + Cloud
Outro

Taught by

Valerio Velardo - The Sound of AI

Reviews

Start your review of How to Deploy ML Models in Production with BentoML

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.