Machine Learning with Docker
Offered By: Coursera Project Network via Coursera
Course Description
Overview
This guided-project introduces you to Machine learning with Docker. The tasks demonstrate how Docker is a useful tool for working with machine learning. By the end of this project, you will be able to implement Docker in your Machine learning workflows.
Moreover, this split screen guided project will allow you to:
- Learn Docker fundamentals & understand how it can compliment Machine Learning
- Train machine learning models during the Docker
- Serialize your models within the Image for easy retrieval
- Perform batch inference using Docker containers
- Understand online inference with a Real World example (Food Delivery App)
- Implement a REST API using Docker and Flask RESTful.
Moreover, this split screen guided project will allow you to:
- Learn Docker fundamentals & understand how it can compliment Machine Learning
- Train machine learning models during the Docker
- Serialize your models within the Image for easy retrieval
- Perform batch inference using Docker containers
- Understand online inference with a Real World example (Food Delivery App)
- Implement a REST API using Docker and Flask RESTful.
Taught by
Prasanjit Singh
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